Data Structure & Algorithms | Computer Science

Download as pptx, pdf

3 likes609 views

The document discusses data structures, defining them as logical ways to store and organize data, and introduces abstract data types (ADTs). It details various types of data structures used in C/C++, including stacks, queues, heaps, hash tables, and graphs, along with explanations of open and closed hashing. Additionally, it covers binary search trees, linked lists, and their applications in memory allocation and data management.

Data Structure & Algorithms | Computer Science

Data Structure
It is the logical way to store and to organize the data in a system. A abstract data type
or ADT is a scientific model of data structure. It depicts a holder which holds a limited
number of objects where the items might be related through a given binary relationship.
There are two types of data structure.

Data Structures in C/ C++
There are five types of data structures inn C/ C++
1. Stack – Last in First out
2. Queue – First in First out
3. Heap – Complete binary trees which are not sorted
4. Hash Tables – Implementing key array data structure
5. Graph – Method of representing connection between
different places.

Difference between Open Hashing & Closed Hashing
• Linear probing double or irregular hashing are good if the keys are kept as the entries
in the hash table itself. This is called as closed hashing.
• In open hashing, entries in hash table are the pointers to the linked list head elements.
Collision determination turns out to be simple with separate chaining: while inserting a
key in the linked list if it is there.

Linear Hashing
• It allows the hash file to expand and shrink its number of buckets dynamically
without any directory.
• It starts with M buckets numbered 0 to M-1 and use the mod hash function
H(K) = K mod M
As the initial hash function called hi.

Binary SearchTree
In a BST, every node stores some data including unique key value, and
maybe some related data. A double tree is a BST iff, for each node n in
the tree:
• All keys in n's left subtree are not as much as the key in n, and
• All keys in n's right subtree are more noteworthy than the key in n.
Note: if duplicate keys are permitted, then nodes with values that are
equivalent to the key in node n can be either in n's left subtree or in its
right subtree.
Notes: we will expect that duplicates are not permitted.

Binary SearchTree Algorithm
def search_recursively(key, node):
2 if node is None or node.key == key:
3 return node
4 elif key < node.key:
5 return search_recursively(key,
node.left)
6 else: # key > node.key
7 return search_recursively(key,
node.right)
Example of binary search tree is
build_binary_tree([1, 2, 3, 4, 5]) yields the tree (1 (2 (3 (4 (5))))).

Linked List
Every element in linked list data structure is represented by two nodes. One is
main node and other contains reference to previous node. These are of three
types:
• Singly linked list
• Doubly linked list
• Circular linked list

Applications of Linked List
• These are used in implementation of stack and queue or implementing graphs.
• Hash tables can also be implemented with the help of linked lists.
• Polynomial can be shown in the form of array or in linked list by saving the coefficient
as well as exponent of each term.
• These are also used in dynamic memory allocation.

Hey Friend,
This was just a summary on Data Structure &
Algorithms. For more detailed information on this topic,
please type the link given below or copy it from the
description of this PPT and open it in a new browser
window.
www.transtutors.com/homework-help/computer-science/data-structure-and-algorithms.aspx

This document discusses data structures and binary trees. It begins with basic terminology used in trees such as root, node, degree, levels, and traversal methods. It then explains different types of binary trees including strictly binary trees and complete binary trees. Next, it covers binary tree representations using arrays and linked lists. Finally, it discusses operations that can be performed on binary search trees including insertion, searching, deletion, and traversing nodes using preorder, inorder and postorder traversal methods.

Chapter 8: tree data structureMahmoud Alfarra

The document discusses trees and binary trees as data structures. It defines what a tree is, including parts like the root, parent, child, leaf nodes. It then defines binary trees as trees where each node has no more than two children. Binary search trees are introduced as binary trees where all left descendants of a node are less than or equal to the node and all right descendants are greater. The document concludes by discussing how to build a binary search tree class with Node objects.

Data structure,abstraction,abstract data type,static and dynamic,time and spa...Hassan Ahmed

The document summarizes a group project submitted by 5 students on basic data structures. It discusses topics like stacks, queues, linked lists, and the differences between static and dynamic data structures. It provides examples and definitions of basic linear data structures like stacks, queues, and deques. It also explains how insertions and removals work differently in static versus dynamic data structures due to their fixed versus flexible memory allocation.

Introduction to data structure pptNalinNishant3

The document provides an introduction to data structures, defining them as ways to efficiently store and organize data in computers. It classifies data structures into primitive and non-primitive types, and further divides them into linear and non-linear structures, covering examples such as arrays, stacks, queues, trees, and graphs. Additionally, the document discusses various operations associated with data structures, including creation, insertion, deletion, traversal, searching, sorting, and merging.

Data structureProf. Dr. K. Adisesha

This document discusses topics related to data structures and algorithms. It covers structured programming and its advantages and disadvantages. It then introduces common data structures like stacks, queues, trees, and graphs. It discusses algorithm time and space complexity analysis and different types of algorithms. Sorting algorithms and their analysis are also introduced. Key concepts covered include linear and non-linear data structures, static and dynamic memory allocation, Big O notation for analyzing algorithms, and common sorting algorithms.

Data structure & algorithms introductionSugandh Wafai

The document discusses data structures and algorithms. It defines key concepts like data items, entities, attributes, and data processing operations. It then describes common linear data structures like arrays, linked lists, stacks, and queues. Non-linear structures like trees and graphs are also covered. Common algorithms for traversing, searching, inserting, deleting, sorting, and merging data are listed. The concepts of abstract data types and algorithm analysis are briefly introduced.

Data structures (introduction)Arvind Devaraj

This document discusses different data structures and their uses. It describes arrays, linked lists, trees, stacks, queues, and hash tables. For each scenario presented, it asks which data structure would be best. Scenario 1 involves eliminating every third person in a row, scenario 2 displaying recent missed calls, scenario 3 maintaining a student database with various operations, and scenario 4 prioritizing people in an office. The document provides examples and explanations of different data structures and their pros and cons for accessing, inserting, and deleting data. It emphasizes choosing the right data structure based on the needed operations.

Ii pu cs practical viva voce questionsProf. Dr. K. Adisesha

Virtual base class is used to avoid ambiguity and multiple inheritance problems in C++. Some key points about virtual base class: - A virtual base class is declared using the virtual keyword in a derived class. - When a class is declared as a virtual base class, only one copy of that base class is shared among all the objects. - It is used to resolve diamond problem in multiple inheritance. - A virtual base class pointer can be used to access the single copy of the base class object. 2. What is multiple inheritance? Explain with an example. Ans: Multiple inheritance is a feature of some object-oriented computer programming languages in which classes can inherit features from multiple base or parent classes.

Introduction of data structures and algorithmsVinayKumarV16

This document provides an introduction to data structures. It defines key terms like data, structure, entities, attributes, records, and files. It discusses primitive and non-primitive data structures, with examples like arrays, stacks, queues, and linked lists. It also covers non-linear data structures like trees and graphs. The document outlines common data structure operations like traversing, searching, inserting, and deleting. It introduces abstract data types and explains how they define operations without specifying implementation. Finally, it discusses analyzing the time and space complexity of algorithms.

Introductiont To Aray,Tree,Stack, QueueGhaffar Khan

This document provides an introduction to data structures and algorithms. It defines key terminology related to data structures like entities, fields, records, files, and primary keys. It also describes common data structures like arrays, linked lists, stacks, queues, trees, and graphs. Finally, it discusses basic concepts in algorithms like control structures, complexity analysis, and examples of searching algorithms like linear search and binary search.

Introduction of Data StructureMandavi Classes

The document introduces different data structures commonly used in programming, including lists, arrays, stacks, queues, trees, and graphs. It provides examples of how queues and binary trees are structured and when each would be an appropriate data structure to use. Programmers must choose which data structure to implement based on the nature of the data and the necessary operations. Alice supports lists and arrays as basic built-in data structures that can be used to represent other data structures or organize program data.

Data structure using c++Prof. Dr. K. Adisesha

This document outlines the syllabus for Computer Science (41) taught by Prof. K. Adisesha. It covers 4 units: Unit A discusses computer hardware components and data structures; Unit B covers object-oriented programming in C++; Unit C focuses on databases, queries, and large data; Unit D examines advanced communication technology concepts like networking and web design. Key topics include motherboards, Boolean algebra, arrays, stacks, queues, classes, inheritance, pointers, files, SQL, networks, and HTML.

Data StructuresProf. Dr. K. Adisesha

The document discusses data structures and arrays. It begins by defining data, data structures, and how data structures affect program design. It then categorizes data structures as primitive and non-primitive. Linear and non-linear data structures are described as examples of non-primitive structures. The document focuses on arrays as a linear data structure, covering array declaration, representation in memory, calculating size, types of arrays, and basic operations like traversing, searching, inserting, deleting and sorting. Two-dimensional arrays are also introduced.

Data structure & its typesRameesha Sadaqat

This document defines and describes different types of data structures. It first defines a data structure as a logical way to store and retrieve data. It then describes common data structure operations like traversing, searching, insertion and deletion. The main types discussed are linear data structures like arrays, linked lists, stacks and queues, as well as non-linear structures like trees and graphs. Specific linear structures are defined and their representations and operations are outlined. Non-linear structures like trees and graphs are also introduced along with common operations.

Introduction to data structureadeel hamid

This document introduces data structures and their classifications. It defines data structure as a structured way of organizing data in a computer so it can be used efficiently. Data structures are classified as simple, linear, and non-linear. Linear structures like arrays, stacks, and queues store elements in a sequence while non-linear structures like trees and graphs have non-sequential relationships. The document discusses common operations on each type and provides examples of different data structures like linked lists, binary trees, and graphs. It concludes by noting data structures should be selected based on the nature of the data and requirements of operations.

Introduction to data structureZaid Shabbir

This document provides an introduction to data structures. It defines data structures as a way of organizing data so that it can be used efficiently. The document then discusses basic terminology, why data structures are important, how they are studied, and how they are classified as simple or compound, and linear or non-linear. It proceeds to describe common data structures like arrays, stacks, queues, linked lists, trees, and graphs, and how they support basic operations. The document concludes by discussing how to select an appropriate data structure based on the problem constraints and required operations.

DATA STRUCTURERohit Rai

This document discusses different data structures and their classifications. It defines data structures as ways of organizing data that consider both the stored elements and their relationships. Data structures can be linear (processed sequentially like arrays and linked lists) or non-linear (where insertion and deletion cannot be done linearly, like trees and graphs). Data structures are also classified as primitive (basic types operated on by machines) and non-primitive (more complex structures derived from primitive ones, like arrays, lists and files). Common operations on data structures include traversing, searching, inserting and deleting.

Data StructureKarthikeyan A K

The binary search is faster than the sequential search. The complexity of binary search is O(log n) whereas the complexity of a sequential search is O(n). Stacks are used to evaluate algebraic or arithmetic expressions using prefix or postfix notations. Heap sort involves creating a max heap from the array and then replacing the root with the last element and rebuilding the heap for the remaining elements, repeating this process to sort the entire array.

Data Structures Notes 2021Sreedhar Chowdam

The document discusses various data structures and their operations. It begins with an introduction to linear data structures like arrays, linked lists, stacks and queues. It describes array implementation using sequential storage and linked list implementation using pointers. Common operations on these structures like traversal, insertion, deletion and searching are discussed. The document also covers non-linear data structures like trees and graphs and basic tree traversals. It provides examples of applications of different data structures and concludes with definitions of key terms.

Lecture 1 data structures and algorithmsAakash deep Singhal

This document discusses data structures and their applications. It defines key terms like data, data item, entity, attribute, field, record, and file. It explains that a data structure is a logical organization of data that specifies the data elements and operations that can be performed on them. Common operations include traversing, searching, inserting, and deleting. The choice of data structure depends on how frequently certain operations will be performed. Real-life data manipulation requires storage, retrieval, and transformation of user data.

Data structurelaraib kafeel

This document discusses data structures and their types. It defines data structures as the logical or mathematical organization of data in computer memory or on disk. The main types are linear data structures like arrays, stacks, queues, and linked lists, and non-linear structures like trees and graphs. Common operations on data structures include traversing, searching, inserting, deleting, sorting, and merging. Algorithms manipulate data in these structures to solve problems.

Introduction To Data Structures.Education Front

The document defines data structures and different types of data structures including linear and non-linear data structures. It provides examples of primitive and non-primitive data as well as physical and logical data structures. It also describes arrays, including one-dimensional, two-dimensional, and multi-dimensional arrays. The storage and addressing of these different array types is explained.

Data structuresNaresh Babu Merugu

This document provides an overview of basic concepts related to data structures and algorithms. It discusses key topics such as the definition of a data structure as an organization of data and how it relates to algorithms. The document also covers classifications of data structures into primitive and non-primitive types as well as linear and non-linear structures. Specific data structures like arrays, stacks, queues, linked lists, trees and graphs are introduced. It provides examples of contiguous structures like arrays and structures, as well as non-contiguous structures like linked lists.

Data structuresManaswi Sharma

Data structure and its types.buyinstagramfollowersaustralia

The document defines data structures as organizational schemes for storing and retrieving data in a computer's memory, highlighting the impact of organization on program performance. It categorizes data structures into primitive (such as char, int, float) and non-primitive types, with examples including linear structures like arrays, linked lists, stacks, and queues, and non-linear structures like trees and graphs. The document further explains operations such as searching, insertion, and deletion for various data structures.

Data structures BasicsDurgaDeviCbit

The document provides information about the Data Structures course offered by S. Durga Devi from CSE department of CBIT. It includes the course objectives, outcomes, units and topics covered in the course. The 5 units cover introduction to data structures, linked lists, stacks and queues, trees, hashing and balanced search trees. Commonly used data structures like arrays, linked lists, stacks, queues, trees and graphs are part of the course. Sorting algorithms like quicksort and mergesort are also included. The performance of algorithms is analyzed in terms of time and space complexity. Asymptotic notations like Big-O, Omega and Theta are discussed for analyzing algorithms. Recursion and its applications are explained.

Data structures using cProf. Dr. K. Adisesha

The document discusses various data structures and their classification. It begins by stating the objectives of understanding how data structures can be classified, basic data types and arrays, and problem-oriented data structures used to solve specific problems. It then defines key terms like data, information, and data structures. It describes primitive and non-primitive, linear and non-linear data structures. It also discusses basic and problem-oriented data structures like lists, stacks, queues, and trees. It provides examples and applications of different data structures.

Mca ii dfs u-1 introduction to data structureRai University

This document provides an introduction to data structures. It defines data structures as a way of organizing and storing data in a computer so that it can be used efficiently. The document discusses different types of data structures including primitive, non-primitive, linear and non-linear structures. It provides examples of various data structures like arrays, linked lists, stacks, queues and trees. It also covers important concepts like time complexity, space complexity and Big O notation for analyzing algorithms. Common operations on data structures like search, insert and delete are also explained.

Fundamentalsofdatastructures 110501104205-phpapp02Getachew Ganfur

The document discusses data structures and algorithms. It begins by defining data structures as organized data and allowed operations. It then discusses arrays, linked lists, binary trees, and their implementations. Arrays allow fast access but fixed size, while linked lists and trees can grow dynamically but have slower access. Binary tree operations like search, insert, and delete have logarithmic time complexity due to the tree height being logarithmic in the number of nodes. The document provides examples of various data structure implementations and traversals.

Data Structures 8Dr.Umadevi V

This document provides an overview of different searching techniques including sequential search, binary search, tree searching using binary search trees, hashing techniques, and general search trees. It defines key search terminology and summarizes algorithms for common search operations like search, insertion and deletion in various data structures that support efficient searching like binary search trees, B-trees, and hash tables. Examples are provided to illustrate search techniques and how they work.

More Related Content

What's hot (20)

Introduction of data structures and algorithmsVinayKumarV16

Introductiont To Aray,Tree,Stack, QueueGhaffar Khan

Introduction of Data StructureMandavi Classes

Data structure using c++Prof. Dr. K. Adisesha

Data StructuresProf. Dr. K. Adisesha

Data structure & its typesRameesha Sadaqat

Introduction to data structureadeel hamid

Introduction to data structureZaid Shabbir

DATA STRUCTURERohit Rai

Data StructureKarthikeyan A K

Data Structures Notes 2021Sreedhar Chowdam

Lecture 1 data structures and algorithmsAakash deep Singhal

Data structurelaraib kafeel

Introduction To Data Structures.Education Front

Data structuresNaresh Babu Merugu

Data structuresManaswi Sharma

Data structure and its types.buyinstagramfollowersaustralia

Data structures BasicsDurgaDeviCbit

Data structures using cProf. Dr. K. Adisesha

Mca ii dfs u-1 introduction to data structureRai University

Introduction of data structures and algorithmsVinayKumarV16

Introductiont To Aray,Tree,Stack, QueueGhaffar Khan

Introduction of Data StructureMandavi Classes

Data structure using c++Prof. Dr. K. Adisesha

Data StructuresProf. Dr. K. Adisesha

Data structure & its typesRameesha Sadaqat

Introduction to data structureadeel hamid

Introduction to data structureZaid Shabbir

DATA STRUCTURERohit Rai

Data StructureKarthikeyan A K

Data Structures Notes 2021Sreedhar Chowdam

Lecture 1 data structures and algorithmsAakash deep Singhal

Data structurelaraib kafeel

Introduction To Data Structures.Education Front

Data structuresNaresh Babu Merugu

Data structuresManaswi Sharma

Data structure and its types.buyinstagramfollowersaustralia

Data structures BasicsDurgaDeviCbit

Data structures using cProf. Dr. K. Adisesha

Mca ii dfs u-1 introduction to data structureRai University

Similar to Data Structure & Algorithms | Computer Science (20)

Fundamentalsofdatastructures 110501104205-phpapp02Getachew Ganfur

Data Structures 8Dr.Umadevi V

DsNaresh Babu Merugu

This document provides lecture notes on data structures using C programming language. It covers various topics related to data structures including basic concepts, recursion, linked lists, stacks and queues, binary trees, graphs, searching and sorting algorithms. The document is divided into multiple chapters with each chapter covering key concepts, examples and source code for different data structures and algorithms. It aims to help students understand commonly used data structures and how to implement them using C programming.

SIX WEEKS SUMMER TRAINING REPORT.pptxsagabo1

1. The document outlines the key topics and concepts covered in a 6-week data structures and algorithms course, including common data structures like arrays, linked lists, stacks, queues, binary trees, and graphs. 2. It provides details on different types of data structures, operations, advantages and disadvantages of each structure. Example applications are also discussed. 3. The reasons for choosing to learn data structures and algorithms are given as preparing for other programming languages and computer science topics, learning algorithm design, and gaining practical knowledge through live video lectures.

Introduction to data structures (ss)Madishetty Prathibha

The document provides an overview of data structures, defining them as specialized formats for organizing and storing data efficiently, emphasizing their importance in programming. It discusses different types of data structures, including primitive and non-primitive forms, and highlights key operations performed on them. The need for efficient data structures is underscored by challenges in handling large data volumes, search efficiency, and multiple user requests.

Lecture 1.pptxffffffffffffffcfffffffffffandrewandjames

Data StructuresRahul Jamwal

This document provides an overview of various data structures, including linear and non-linear structures. Linear data structures discussed include arrays, linked lists, stacks, and queues. Arrays allow fast access but fixed size, while linked lists can grow and shrink but slower access. Stacks and queues follow LIFO and FIFO principles respectively. Non-linear structures include trees and graphs. Trees have hierarchical relationships and common types are binary trees and binary search trees. Graphs show complex relationships between vertices connected by edges and can be directed or undirected.

Chapter 4.pptxTekle12

This chapter discusses various data structures including elementary data structures like stacks, queues, linked lists, binary trees, and hash tables. It then describes more complex data structures like red-black trees that balance binary search trees to guarantee logarithmic time operations. It also discusses augmenting data structures by adding size fields to support dynamic order statistics queries in logarithmic time.

Unit.1 Introduction to Data Structuresresamplopsurat

The document provides an introduction to data structures. It defines a data structure as a way of storing and organizing data efficiently to allow operations to be performed quickly. Data structures can be static or dynamic. An abstract data type (ADT) is a mathematical description of an object and its operations. Algorithms implement ADTs using data structures. There are many data structures because there are tradeoffs between speed, memory usage, elegance, and other factors. Common data structures include lists, trees, hash tables. Operations on data structures include traversing, searching, insertion, deletion and others. Static structures have fixed sizes while dynamic structures have variable sizes.

Chapter 1 _edited.pptx.software engineeringkuruabeje7

data structurehashim102

The document provides information about the Data Structures CS-203 course, including textbooks, topics covered like recursion, stacks, queues, lists, trees, sorting, searching and graphs. It will be graded based on quizzes, assignments, mid-term, final and project. An introduction to data structures and abstract data types is given, defining them and describing common linear and non-linear structures like arrays, linked lists, trees, queues and stacks. The relationship between abstract data types and data structures is also explained.

Treemaamir farooq

Binary trees are a data structure where nodes are connected in a parent-child relationship. Each node can have up to two children. Binary search trees have the additional property that the value of each node's left child is less than its own value, and the value of its right child is greater. This structure allows efficient search, insertion, and deletion operations. Basic tree operations include traversing the tree in different orders (pre-order, in-order, post-order) and searching for a node by its value. New nodes are inserted by finding the correct position based on value comparison to existing nodes.

DATA STRUCTURES and its classifications.pptxlathasukumar4

data scienceKamleshParihar12

This document provides an overview of different data structures and algorithms topics covered in a 6-week CSE-443 training course, including searching, sorting, arrays, linked lists, stacks, queues, trees, binary search trees, backtracking, and why learning data structures and algorithms is important. It also describes a library management system project that uses a hashmap to implement functions like adding, removing, and searching books, issuing books, and finding which books students need.

Data Structure viva questions for lab examtruparanicse

The document provides a comprehensive overview of various data structures including arrays, linked lists, stacks, queues, hash tables, and trees, along with their properties, operations, and applications. It details key concepts such as memory allocation, traversal methods, and performance metrics relevant to each structure. Furthermore, the document includes algorithmic approaches for pattern matching and their efficiencies in different scenarios.

Data Structures and algoithms Unit - 1.pptxmexiuro901

The document provides a comprehensive overview of data structures, explaining the definitions and classifications into primitive and non-primitive structures, such as linear and non-linear types. It outlines key operations performed on data structures, including traversing, insertion, deletion, searching, and sorting, along with specific algorithms related to these operations. Additionally, it discusses characteristics of data structures, abstract data types, and various searching and sorting techniques, highlighting their complexities and advantages.

Iare ds lecture_notes_2RajSingh734307

This document provides lecture notes on data structures that cover key topics including: - Classifying data structures as simple, compound, linear, and non-linear and providing examples. - Defining abstract data types and algorithms, and explaining their structure and properties. - Discussing approaches for designing algorithms and issues related to time and space complexity. - Covering searching techniques like linear search and sorting techniques including bubble sort, selection sort, and quick sort. - Describing linear data structures like stacks, queues, and linked lists and non-linear structures like trees and graphs.

Data_Structure With C_LECTURE ONE PPT123deepikadalvi18

The document outlines a course on data structures using C, covering various topics such as algorithms, recursion, stacks, queues, linked lists, trees, sorting, searching, and graphs. It lists primary textbooks and reference materials, emphasizes the significance of data structure selection and its types (linear and non-linear), and introduces abstract data types and their operations. Key concepts include the principles of abstraction, encapsulation, and core operations associated with data manipulation.

UNIT III Non Linear Data Structures - Trees.pptxVISWANATHAN R V

The document provides an overview of non-linear data structures, particularly trees, including their definitions, types, and operations. It explains tree terminology, binary trees, AVL trees, and various tree traversal methods, alongside their applications such as binary search trees and heaps. Key concepts such as tree balance factors and operations for insertion, deletion, and searching in binary search trees are also discussed.

Fundamentalsofdatastructures 110501104205-phpapp02Getachew Ganfur

Data Structures 8Dr.Umadevi V

DsNaresh Babu Merugu

SIX WEEKS SUMMER TRAINING REPORT.pptxsagabo1

Introduction to data structures (ss)Madishetty Prathibha

Lecture 1.pptxffffffffffffffcfffffffffffandrewandjames

Data StructuresRahul Jamwal

Chapter 4.pptxTekle12

Unit.1 Introduction to Data Structuresresamplopsurat

Chapter 1 _edited.pptx.software engineeringkuruabeje7

data structurehashim102

Treemaamir farooq

DATA STRUCTURES and its classifications.pptxlathasukumar4

data scienceKamleshParihar12

Data Structure viva questions for lab examtruparanicse

Data Structures and algoithms Unit - 1.pptxmexiuro901

Iare ds lecture_notes_2RajSingh734307

Data_Structure With C_LECTURE ONE PPT123deepikadalvi18

UNIT III Non Linear Data Structures - Trees.pptxVISWANATHAN R V

More from Transweb Global Inc (20)

Resultant of Coplanar Parallel Forces | Mechanical EngineeringTransweb Global Inc

The Centroidal Axis | Mechanical EngineeringTransweb Global Inc

The document provides an overview of key concepts related to the centroidal axis, including definitions of center of gravity, second moment of area, and important theorems such as the perpendicular and parallel axis theorems. It includes equations for calculating moments of inertia and references a link for more detailed information. The information serves as a foundational guide for understanding these mechanical engineering concepts.

System Of Coplanar Forces | Mechanical EngineeringTransweb Global Inc

Resultant of Two Unlike and Unequal Parallel Forces | Mechanical EngineeringTransweb Global Inc

SFD Load Diagram Examples | Mechanical EngineeringTransweb Global Inc

Principle Of Transmissibility | Mechanical EngineeringTransweb Global Inc

Law Of Polygon | Mechanical EngineeringTransweb Global Inc

Similarities between Leadership and Management | ManagementTransweb Global Inc

Ranked Positional Weight Method | ManagementTransweb Global Inc

The Ranked Positional Weight Method is a technique used for assembly line balancing that takes into account precedence relationships and task processing times. It involves calculating a Ranked Positional Weight for each work element based on duration and precedence, arranging them in descending order, and then assigning them to workstations to optimize time, machinery, labor and output. The example shows the steps of constructing a precedence diagram, calculating RPW values, ordering by RPW, and assigning elements to six workstations with the goal of minimizing idle time.

Business Intelligence And Business Analytics | ManagementTransweb Global Inc

Business intelligence involves collecting and processing data to present it in an understandable manner, while business analytics focuses on interpreting that data for actionable insights. Business analytics encompasses various types, including descriptive, diagnostic, predictive, and prescriptive analytics. The main difference lies in their scope, with business intelligence being a subset of business analytics that is primarily reactive, whereas business analytics is proactive.

ABC Cost Hierarchy | ManagementTransweb Global Inc

The document discusses the levels of an activity-based costing (ABC) system. It explains that under ABC, costs are first assigned to activities and then traced to products. There are four levels of costs: unit, batch, product, and facility. Unit costs are directly proportional to the number of units produced. Batch costs are proportional to the number of batches produced regardless of batch size. Product costs can be traced to a product line. Facility costs are incurred for the plant as a whole and cannot be traced to specific units or products. The document provides examples for each cost level.

Speed To Market | ManagementTransweb Global Inc

Speed to market refers to the rapid introduction of changes or innovations in a product to gain a competitive advantage. Its importance lies in providing competitive advantages, enabling premium pricing opportunities, and enhancing a company's reputation, though it may also lead to hasty decisions and potential product failure. The process involves four dimensions: define, decide, deliver, and carries both advantages and disadvantages.

Managerial Hubris | FinanceTransweb Global Inc

The document discusses the concept of managerial hubris, which refers to excessive pride or self-confidence held by senior managers that can lead to cognitive biases and poor decision making. Managerial hubris can result in empire building within an organization as managers seek to expand their power and influence. It is also related to mergers and acquisitions if acquiring company managers overestimate their ability to manage target companies. This can lead to winners' curse, where the winning bid exceeds the true value of the target. The hubris hypothesis suggests managerial hubris in acquisitions can result in bids over the intrinsic value and ultimately lower shareholder returns.

Conductance | Electrical EngineeringTransweb Global Inc

Advantages and Disadvantages of Digital Electronics | Electrical EngineeringTransweb Global Inc

Digital electronics operate with binary signals and use logic gates for data transmission. Advantages include easy design, programming flexibility, noise immunity, high speed, and secure long-distance transmission, while disadvantages involve higher design costs, portability issues, increased energy consumption, and the necessity of converting real-world signals. ADCs and DACs play crucial roles in converting real-world data to digital and vice versa.

Stabilization Of Operating Point | Electrical EngineeringTransweb Global Inc

This document discusses the stabilization of operating point in BJTs. It defines the load line and operating point, and explains that the operating point depends on factors like current gain, temperature, and supply voltage variations. An increase in current gain or temperature will shift the operating point towards saturation. It also describes different bias circuit types - fixed bias, collector base bias, fixed bias with emitter resistance, and voltage divider bias - and provides their basic equations.

Offer Curves | EconomicsTransweb Global Inc

Offer curves, introduced by economists Alfred Marshall and Francis Edgeworth, illustrate the distribution of gains from international trade through a graphical representation of reciprocal demand between two countries. They assume conditions such as no transport costs, similar needs, perfect competition, full employment, and free trade. The curves indicate quantities of exports exchanged for imports, with various price ratios influenced by factors like costs, economy, and technology.

Fixed Exchange Rate | EconomicsTransweb Global Inc

Computer Architecture | Computer ScienceTransweb Global Inc

Computer architecture encompasses the design and integration of software and hardware to enable a computer's functionality. It has evolved from vacuum tubes in the 1940s to microprocessor chips today and includes architectures such as von-Neumann and Harvard, as well as classifications like RISC and CISC. The document also gives an overview of contemporary computer architecture and provides a link for further information.

Compilers Computer Program | Computer ScienceTransweb Global Inc

Resultant of Coplanar Parallel Forces | Mechanical EngineeringTransweb Global Inc

The Centroidal Axis | Mechanical EngineeringTransweb Global Inc

System Of Coplanar Forces | Mechanical EngineeringTransweb Global Inc

Resultant of Two Unlike and Unequal Parallel Forces | Mechanical EngineeringTransweb Global Inc

SFD Load Diagram Examples | Mechanical EngineeringTransweb Global Inc

Principle Of Transmissibility | Mechanical EngineeringTransweb Global Inc

Law Of Polygon | Mechanical EngineeringTransweb Global Inc

Similarities between Leadership and Management | ManagementTransweb Global Inc

Ranked Positional Weight Method | ManagementTransweb Global Inc

Business Intelligence And Business Analytics | ManagementTransweb Global Inc

ABC Cost Hierarchy | ManagementTransweb Global Inc

Speed To Market | ManagementTransweb Global Inc

Managerial Hubris | FinanceTransweb Global Inc

Conductance | Electrical EngineeringTransweb Global Inc

Advantages and Disadvantages of Digital Electronics | Electrical EngineeringTransweb Global Inc

Stabilization Of Operating Point | Electrical EngineeringTransweb Global Inc

Offer Curves | EconomicsTransweb Global Inc

Fixed Exchange Rate | EconomicsTransweb Global Inc

Computer Architecture | Computer ScienceTransweb Global Inc

Compilers Computer Program | Computer ScienceTransweb Global Inc

Recently uploaded (20)

FIRST DAY HIGH orientation for mapeh subject in grade 10.pptxGlysdiEelesor1

ROLE PLAY: FIRST AID -CPR & RECOVERY POSITION.pptxBelicia R.S

Role play : First Aid- CPR, Recovery position and Hand hygiene. Scene 1: Three friends are shopping in a mall Scene 2: One of the friend becomes victim to electric shock. Scene 3: Arrival of a first aider Steps: Safety First Evaluate the victim‘s condition Call for help Perform CPR- Secure an open airway, Chest compression, Recuse breaths. Put the victim in Recovery position if unconscious and breathing normally.

Overview of Employee in Odoo 18 - Odoo SlidesCeline George

june 10 2025 ppt for madden on art science is over.pptxroger malina

LDMMIA GRAD Student Check-in Orientation SamplerLDM & Mia eStudios

Completed Tuesday June 10th. An Orientation Sampler of 8 pages. It helps to understand the text behind anything. This improves our performance and confidence. Your training will be mixed media. Includes Rehab Intro and Meditation vods, all sold separately. Editing our Vods & New Shop. Retail under $30 per item. Store Fees will apply. Digital Should be low cost. I am still editing the package. I wont be done until probably July? However; Orientation and Lecture 1 (Videos) will be available soon. Media will vary between PDF and Instruction Videos. Thank you for attending our free workshops. Those can be used with any Reiki Yoga training package. Traditional Reiki does host rules and ethics. Its silent and within the JP Culture/Area/Training/Word of Mouth. It allows remote healing but there’s limits for practitioners and masters. We are not allowed to share certain secrets/tools. Some content is designed only for “Masters”. Some yoga are similar like the Kriya Yoga-Church (Vowed Lessons). We will review both Reiki and Yoga (Master symbols) later on. Sounds Simple but these things host Energy Power/Protection. Imagine This package will be a supplement or upgrade for professional Reiki. You can create any style you need. ♥♥♥ •* ́ ̈ ̧.• (Job) Tech for students: In short, high speed is essential. (Space, External Drives, virtual clouds) Fast devices and desktops are important. Please upgrade your technology and office as needed and timely. - MIA J. Tech Dept (Timeless) ♥♥♥ •* ́ ̈ ̧.• Copyright Disclaimer 2007-2025+: These lessons are not to be copied or revised without the Author’s permission. These Lessons are designed Rev. Moore to instruct and guide students on the path to holistic health and wellness. It’s about expanding your Nature Talents, gifts, even Favorite Hobbies. ♥♥♥ •* ́ ̈ ̧.• First, Society is still stuck in the matrix. Many of the spiritual collective, say the matrix crashed. Its now collapsing. This means anything lower, darker realms, astral, and matrix are below 5D. 5D is thee trend. It’s our New Dimensional plane. However; this plane takes work ethic, integration, and self discovery. ♥♥♥ •* ́ ̈ ̧.• We don’t need to slave, mule, or work double shifts to fuse Reiki lol. It should blend naturally within our lifestyles. Same with Yoga. There’s no need to use all the poses/asanas. For under a decade, my fav exercises are not asanas but Pilates. It’s all about Yoga-meditation when using Reiki. (Breaking old myths.) Thank You for reading our Orientation Sampler. The Workshop is 14 pages on introduction. These are a joy and effortless to produce/make.

How to Configure Vendor Management in Lunch App of Odoo 18Celine George

Exploring Ocean Floor Features for Middle SchoolMarie

Basic English for Communication - Dr Hj Euis Eti Rohaeti MpdRestu Bias Primandhika

“THE BEST CLASS IN SCHOOL”. _Colégio Santa Teresinha

2025 June Year 9 Presentation: Subject selection.pptxmansk2

Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.

This presentation has been made keeping in mind the students of undergraduate and postgraduate level. In this slide try to present the brief history of Chaulukyas of Gujrat up to Kumarpala To keep the facts in a natural form and to display the material in more detail, the help of various books, websites and online medium has been taken. Whatever medium the material or facts have been taken from, an attempt has been made by the presenter to give their reference at the end. Chaulukya or Solanki was one of the Rajputs born from Agnikul. In the Vadnagar inscription, the origin of this dynasty is told from Brahma's Chauluk or Kamandalu. They ruled in Gujarat from the latter half of the tenth century to the beginning of the thirteenth century. Their capital was in Anahilwad. It is not certain whether it had any relation with the Chalukya dynasty of the south or not. It is worth mentioning that the name of the dynasty of the south was 'Chaluky' while the dynasty of Gujarat has been called 'Chaulukya'. The rulers of this dynasty were the supporters and patrons of Jainism.

Paper 107 | From Watchdog to Lapdog: Ishiguro’s Fiction and the Rise of “Godi...Rajdeep Bavaliya

Dive into a captivating analysis where Kazuo Ishiguro’s nuanced fiction meets the stark realities of post‑2014 Indian journalism. Uncover how “Godi Media” turned from watchdog to lapdog, echoing the moral compromises of Ishiguro’s protagonists. We’ll draw parallels between restrained narrative silences and sensationalist headlines—are our media heroes or traitors? Don’t forget to follow for more deep dives! M.A. Sem - 2 | Presentation Presentation Season - 2 Paper - 107: The Twentieth Century Literature: From World War II to the End of the Century Submitted Date: April 4, 2025 Paper Name: The Twentieth Century Literature: From World War II to the End of the Century Topic: From Watchdog to Lapdog: Ishiguro’s Fiction and the Rise of “Godi Media” in Post-2014 Indian Journalism [Please copy the link and paste it into any web browser to access the content.] Video Link: https://youtu.be/kIEqwzhHJ54 For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/from-watchdog-to-lapdog-ishiguro-s-fiction-and-the-rise-of-godi-media-in-post-2014-indian-journalism.html Please visit this blog to explore additional presentations from this season: Hashtags: #GodiMedia #Ishiguro #MediaEthics #WatchdogVsLapdog #IndianJournalism #PressFreedom #LiteraryCritique #AnArtistOfTheFloatingWorld #MediaCapture #KazuoIshiguro Keyword Tags: Godi Media, Ishiguro fiction, post-2014 Indian journalism, media capture, Kazuo Ishiguro analysis, watchdog to lapdog, press freedom India, media ethics, literature and media, An Artist of the Floating World

FEBA Sofia Univercity final diplian v3 GSDG 5.2025.pdfChristinaFortunova

JHS SHS Back to School 2024-2025 .pptxmelvinapay78

The Man In The Back – Exceptional Delaware.pdfdennisongomezk

PEST OF WHEAT SORGHUM BAJRA and MINOR MILLETS.pptxArshad Shaikh

Wheat, sorghum, and bajra (pearl millet) are susceptible to various pests that can significantly impact crop yields. Common pests include aphids, stem borers, shoot flies, and armyworms. Aphids feed on plant sap, weakening the plants, while stem borers and shoot flies damage the stems and shoots, leading to dead hearts and reduced growth. Armyworms, on the other hand, are voracious feeders that can cause extensive defoliation and grain damage. Effective management strategies, including resistant varieties, cultural practices, and targeted pesticide applications, are essential to mitigate pest damage and ensure healthy crop production.

Measuring, learning and applying multiplication facts.cgilmore6

Slides from a presentation by Professor Camilla Gilmore to the Association of Teachers of Mathematics and Mathematics Association Primary Interest group in June 2025. This gave an overview of two studies that investigated children's multiplication fact knowledge. These studies were part of the SUM research project based at the University of Nottingham and Loughborough University. For more information see www.sumproject.org.uk

ABCs of Bookkeeping for Nonprofits TechSoup.pdfTechSoup

Accounting can be hard enough if you haven’t studied it in school. Nonprofit accounting is actually very different and more challenging still. Need help? Join Nonprofit CPA and QuickBooks expert Gregg Bossen in this first-time webinar and learn the ABCs of keeping books for a nonprofit organization. Key takeaways * What accounting is and how it works * How to read a financial statement * What financial statements should be given to the board each month * What three things nonprofits are required to track What features to use in QuickBooks to track programs and grants

How to Manage Inventory Movement in Odoo 18 POSCeline George

Non-Communicable Diseases and National Health Programs – Unit 10 | B.Sc Nursi...RAKESH SAJJAN

This PowerPoint presentation is prepared for Unit 10 – Non-Communicable Diseases and National Health Programs, as per the 5th Semester B.Sc Nursing syllabus outlined by the Indian Nursing Council (INC) under the subject Community Health Nursing – I. This unit focuses on equipping students with knowledge of the causes, prevention, and control of non-communicable diseases (NCDs), which are a major public health challenge in India. The presentation emphasizes the nurse’s role in early detection, screening, management, and referral services under national-level programs. 🔹 Key Topics Included: Definition, burden, and impact of NCDs in India Epidemiology, risk factors, signs/symptoms, prevention, and management of: Diabetes Mellitus Hypertension Cardiovascular Diseases Stroke & Obesity Thyroid Disorders Blindness Deafness Injuries and Accidents (incl. road traffic injuries and trauma guidelines) NCD-2 Cancers: Breast Cancer Cervical Cancer Oral Cancer Risk factors, screening, diagnosis, early signs, referral & palliative care Role of nurse in screening, referral, counseling, and continuum of care National Programs: National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) National Program for Control of Blindness National Program for Prevention and Control of Deafness National Tobacco Control Program (NTCP) Introduction to Universal Health Coverage and Ayushman Bharat Use of standard treatment protocols and referral flowcharts This presentation is ideal for: Classroom lectures, field assignments, health education planning, and student projects Preparing for university exams, class tests, and community field postings

FIRST DAY HIGH orientation for mapeh subject in grade 10.pptxGlysdiEelesor1

ROLE PLAY: FIRST AID -CPR & RECOVERY POSITION.pptxBelicia R.S

Overview of Employee in Odoo 18 - Odoo SlidesCeline George

june 10 2025 ppt for madden on art science is over.pptxroger malina

LDMMIA GRAD Student Check-in Orientation SamplerLDM & Mia eStudios

How to Configure Vendor Management in Lunch App of Odoo 18Celine George

Exploring Ocean Floor Features for Middle SchoolMarie

Basic English for Communication - Dr Hj Euis Eti Rohaeti MpdRestu Bias Primandhika

“THE BEST CLASS IN SCHOOL”. _Colégio Santa Teresinha

2025 June Year 9 Presentation: Subject selection.pptxmansk2

Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.

Paper 107 | From Watchdog to Lapdog: Ishiguro’s Fiction and the Rise of “Godi...Rajdeep Bavaliya

FEBA Sofia Univercity final diplian v3 GSDG 5.2025.pdfChristinaFortunova

JHS SHS Back to School 2024-2025 .pptxmelvinapay78

The Man In The Back – Exceptional Delaware.pdfdennisongomezk

PEST OF WHEAT SORGHUM BAJRA and MINOR MILLETS.pptxArshad Shaikh

Measuring, learning and applying multiplication facts.cgilmore6

ABCs of Bookkeeping for Nonprofits TechSoup.pdfTechSoup

How to Manage Inventory Movement in Odoo 18 POSCeline George

Non-Communicable Diseases and National Health Programs – Unit 10 | B.Sc Nursi...RAKESH SAJJAN

Data Structure & Algorithms | Computer Science

2. Data Structure It is the logical way to store and to organize the data in a system. A abstract data type or ADT is a scientific model of data structure. It depicts a holder which holds a limited number of objects where the items might be related through a given binary relationship. There are two types of data structure.

3. Data Structures in C/ C++ There are five types of data structures inn C/ C++ 1. Stack – Last in First out 2. Queue – First in First out 3. Heap – Complete binary trees which are not sorted 4. Hash Tables – Implementing key array data structure 5. Graph – Method of representing connection between different places.

4. Difference between Open Hashing & Closed Hashing • Linear probing double or irregular hashing are good if the keys are kept as the entries in the hash table itself. This is called as closed hashing. • In open hashing, entries in hash table are the pointers to the linked list head elements. Collision determination turns out to be simple with separate chaining: while inserting a key in the linked list if it is there.

6. Linear Hashing • It allows the hash file to expand and shrink its number of buckets dynamically without any directory. • It starts with M buckets numbered 0 to M-1 and use the mod hash function H(K) = K mod M As the initial hash function called hi.

7. Binary SearchTree In a BST, every node stores some data including unique key value, and maybe some related data. A double tree is a BST iff, for each node n in the tree: • All keys in n's left subtree are not as much as the key in n, and • All keys in n's right subtree are more noteworthy than the key in n. Note: if duplicate keys are permitted, then nodes with values that are equivalent to the key in node n can be either in n's left subtree or in its right subtree. Notes: we will expect that duplicates are not permitted.

8. Binary SearchTree Algorithm def search_recursively(key, node): 2 if node is None or node.key == key: 3 return node 4 elif key < node.key: 5 return search_recursively(key, node.left) 6 else: # key > node.key 7 return search_recursively(key, node.right) Example of binary search tree is build_binary_tree([1, 2, 3, 4, 5]) yields the tree (1 (2 (3 (4 (5))))).

9. Linked List Every element in linked list data structure is represented by two nodes. One is main node and other contains reference to previous node. These are of three types: • Singly linked list • Doubly linked list • Circular linked list

10. Applications of Linked List • These are used in implementation of stack and queue or implementing graphs. • Hash tables can also be implemented with the help of linked lists. • Polynomial can be shown in the form of array or in linked list by saving the coefficient as well as exponent of each term. • These are also used in dynamic memory allocation.

11. Hey Friend, This was just a summary on Data Structure & Algorithms. For more detailed information on this topic, please type the link given below or copy it from the description of this PPT and open it in a new browser window. www.transtutors.com/homework-help/computer-science/data-structure-and-algorithms.aspx

Data Structure & Algorithms | Computer Science

Recommended

More Related Content

What's hot (20)

Similar to Data Structure & Algorithms | Computer Science (20)

More from Transweb Global Inc (20)

Recently uploaded (20)

Data Structure & Algorithms | Computer Science