mmmmmmm
Download as pptx, pdf1 like669 views
This document defines and describes various types of algorithms. It begins by explaining that an algorithm is a step-by-step procedure for solving problems or processing data, and that they are used in mathematics and computer science. It then categorizes algorithms into different types, including recursive, divide and conquer, dynamic programming, greedy, branch and bound, brute force, and randomized algorithms. Examples are provided to illustrate each type of algorithm.
1 of 21
Downloaded 39 times
Ad
Recommended
Architecture Algorithm Definition
Architecture Algorithm DefinitionGaditek This lecture discusses the definition and usefulness of algorithms, which are precise sequences of steps for solving problems. It traces the origin of the term to the mathematician Al-Khwarizmi and outlines key principles in algorithm construction and analysis. Various types of algorithms, including greedy, deterministic, and randomized, are examined, along with strategies for representing algorithms such as flowcharts and pseudocode.
32 algorithm-types
32 algorithm-typesashish bansal The document describes several types of algorithms. It discusses simple recursive algorithms, backtracking algorithms, divide and conquer algorithms, dynamic programming algorithms, greedy algorithms, branch and bound algorithms, brute force algorithms, and randomized algorithms. Examples are provided for each type of algorithm to illustrate how it works. The purpose is to highlight the different approaches that can be used to solve algorithmic problems.
35 algorithm-types
35 algorithm-typesKislay Bhardwaj L|PT,ECSA,C|EH The document discusses various types of algorithms:
1) Simple recursive algorithms solve base cases directly and recursively solve simpler subproblems.
2) Backtracking algorithms use depth-first search to test solutions and make choices recursively.
3) Divide and conquer algorithms divide problems into smaller subproblems, solve them recursively, and combine the solutions.
4) Dynamic programming algorithms store and reuse solutions to overlapping subproblems in a bottom-up manner.
Backtacking
BacktackingMalar Vizhi The document discusses various algorithm strategies and structures. It provides examples of backtracking algorithms including finding a path through a maze and coloring a map with four colors or less. Backtracking algorithms involve making a series of choices recursively and abandoning a choice (backtracking) if it leads to a dead end rather than a solution.
Toc
Toc Kapil Chaudhary Computation involves any type of information processing that can be represented as an algorithm. An algorithm is a finite sequence of simple instructions that is guaranteed to halt in a finite amount of time. However, this definition is abstract as it does not specify the nature of the instructions or the entity executing them. Some problems cannot be solved algorithmically as there is no program that can provide answers for all possible instances of the problem within a finite time period; these are called undecidable problems. Finding integral solutions to collections of polynomial equations is an example of an undecidable problem.
Greedy algorithm
Greedy algorithmCHANDAN KUMAR The document discusses greedy algorithms, which are used to solve optimization problems that seek the best solution under constraints. It explains the components and strategies of greedy methods, emphasizing their straightforward and efficient nature. Additionally, it highlights various applications of greedy algorithms, such as finding the shortest path and solving problems like the traveling salesman and job scheduling.
Do You Have a Hit List?
Do You Have a Hit List?SQABD The document discusses the concept of a "hit list" for software testing. It suggests creating a prioritized list of the most critical and common types of tests to focus testing efforts, rather than trying to test all possible test cases. This hit list would include things like data type errors, data limits, special characters, and connectivity issues. Maintaining a written or mental hit list of these high-priority test areas allows a tester to quickly uncover bugs within a limited testing time frame.
Introduction to Machine Learning
Introduction to Machine LearningNazmus Sakib This document provides an introduction to machine learning, covering key concepts such as definition, stages of the machine learning process, and types of machine learning algorithms. It discusses supervised machine learning techniques including regression to predict continuous values and classification to predict categorical values. Unsupervised machine learning techniques covered include clustering to discover inherent groupings in unlabeled data. Specific algorithms like linear regression, logistic regression, and k-means clustering are explained along with examples and evaluation methods.
Integer sequence learning using Python
Integer sequence learning using PythonRushikesh Kinhalkar The document discusses integer sequence learning, focusing on the development of machine learning algorithms to predict the next number in an integer sequence. It outlines problem statements, the importance of sequence learning for various applications, and introduces different algorithms including linear recurrence relations, n-grams, and RNNs. The goal is to identify patterns in sequences to solve mathematical and practical problems effectively.
Supervised Machine Learning Techniques
Supervised Machine Learning TechniquesTara ram Goyal This document discusses supervised machine learning techniques. It defines supervised learning as using patterns from historical labeled data to predict labels for new unlabeled data. The main types of supervised learning are classification and regression. Classification algorithms predict categorical labels while regression algorithms predict numeric values. Common supervised learning algorithms discussed are linear regression, decision trees, logistic regression, and Naive Bayes. Examples applications mentioned include speech recognition, web search, machine translation, spam filtering, fraud detection, medical diagnosis, stock analysis, structural health monitoring, image search, and recommendation systems.
Lesson 11 1
Lesson 11 1nabanita123 This document summarizes a computer science lesson on algorithms and flowcharts. It discusses defining sequential, selective, and repetitive constructs to represent program flow. Sequential constructs execute steps strictly in order. Selection constructs execute code conditionally. Iterative constructs allow statements to repeat until a condition is met. Examples are given of algorithms and flowcharts for calculating averages, finding the largest of two numbers, and counting from 1 to 10. Students are asked to complete homework on algorithm characteristics, summing 10 numbers, and the Fibonacci series.
Merge sort data structures
Merge sort data structureschauhankapil Merge Sort follows the divide and conquer approach to sort a list by recursively dividing it into smaller sub-lists, sorting those sub-lists using the same approach, and then merging the sorted sub-lists back together; it runs in O(n log n) time by breaking the problem into smaller problems of sorting each half of the list, combining the solutions by merging the halves back together; the document provides an overview of the merge sort algorithm and its use of divide and conquer to break down a sorting problem into subproblems.
Applied Artificial Intelligence Unit 2 Semester 3 MSc IT Part 2 Mumbai Univer...
Applied Artificial Intelligence Unit 2 Semester 3 MSc IT Part 2 Mumbai Univer...Madhav Mishra This document covers probability theory and fuzzy sets and fuzzy logic, which are topics for an applied artificial intelligence unit. It discusses key concepts for probability theory including joint probability, conditional probability, and Bayes' theorem. It also covers fuzzy sets and fuzzy logic, including fuzzy set operations, types of membership functions, linguistic variables, and fuzzy propositions and inference rules. Examples are provided throughout to illustrate probability and fuzzy set concepts. The document is presented as a slideshow with explanatory text and diagrams on each slide.
Topic 1.4: Randomized Algorithms
Topic 1.4: Randomized AlgorithmsKM Bappi The document discusses randomized algorithms. Randomized algorithms employ randomness as part of their logic, using random bits to guide their behavior. This allows them to achieve good average performance over many trials. The output or running time of a randomized algorithm is a random variable. Advantages include simplicity, efficiency through testing many possibilities, and better complexity bounds than deterministic algorithms. Disadvantages include potential for hardware failures from long runtimes, high memory usage for repeated processes, and longer runtimes as operations split into many parts.
Syllabus ms
Syllabus msbikram ... The document provides a syllabus for the MS and PhD entrance test for the School of Information Technology at IIT Kharagpur. It outlines the topics that will be covered in the test, including basic mathematics, programming basics, computing systems basics, and logical reasoning. The mathematics section covers topics like set theory, matrices, combinatorics, and probability and statistics. The programming section outlines basic concepts like decision structures, recursion, data structures, searching and sorting. The computing systems section covers computer organization, networking, databases, and operating systems. Logical reasoning assesses verbal reasoning through puzzles and non-verbal reasoning through pattern perception and rule detection puzzles.
Lecture 1-cs648
Lecture 1-cs648Anshul Yadav This document provides an overview of the randomized algorithms course. It defines randomized algorithms as algorithms whose output or running time depends on both the input and random bits chosen. Two types are described: Las Vegas algorithms always produce the correct output but have random running time, and Monte Carlo algorithms may produce incorrect output with some probability but have deterministic running time. Randomized algorithms are often simpler and more efficient than deterministic ones. Examples of problems solved more easily with randomized algorithms include sorting, finding the smallest enclosing circle, computing minimum cuts, and primality testing. The course will cover programming assignments, midterm and final exams, with passing criteria outlined. Office hours and contact details are provided.
1 introduction to problem solving and programming
1 introduction to problem solving and programmingRheigh Henley Calderon The document discusses the steps of problem solving which include identifying the problem, understanding it, identifying alternative solutions, selecting the best solution, listing instructions to implement it, and evaluating the solution. It also describes types of problems that can be solved algorithmically or heuristically and discusses problem solving with computers including defining solutions, results, programs, and artificial intelligence. Finally, it outlines some difficulties in problem solving like eliminating good alternatives or not following logical steps.
SPSF01 - Algorithm
SPSF01 - AlgorithmSyeilendra Pramuditya This document discusses algorithms, flowcharts, and pseudocode used in programming and computation. It provides examples of an algorithm to find the largest number in a list and the corresponding pseudocode. The general steps for programming in physics are outlined, including finding a physical problem, developing mathematical models and equations, making an algorithm, flowchart, and pseudocode, and then developing a computer program to solve the problem.
Bca3020– data base management system(dbms)
Bca3020– data base management system(dbms)smumbahelp This document provides information about getting solved assignments by email or phone. It includes contact details for an assignment help service and then provides sample questions and answers related to a database management systems course. The questions cover topics like entities, attributes, relationships, database manager responsibilities, file organization, the LIKE predicate, relational algebra operations, and object-oriented programming features.
法雅客攝影馬拉松記錄
法雅客攝影馬拉松記錄Po-ru Lee 该文档记录了李博儒和王美钧在2014年第13届法雅客24小时数字摄影马拉松中的参赛作品和创作思路。他们围绕四个主题进行创作，分别是《轻摇滚》、《幸福旅程》、《危险世界》和《城市之光》，通过城市摄影展现了各自对主题的理解与表现。尽管他们努力表达创意，最终还是未能获奖。
The Health Benefits of Indian Food
The Health Benefits of Indian Foododdjoker3810 Indian food, particularly curries, is associated with numerous health benefits, including potential heart health improvement due to turmeric's active compound curcumin. Research indicates that spices like chillies and ingredients like yoghurt may help regulate insulin levels, while a diet rich in fruits and vegetables found in Indian cuisine may lower cancer risks. While many studies are preliminary and conducted on animals, the overall evidence suggests that Indian dietary practices can contribute positively to health.
Lou lou moose
Lou lou moosekinderstars Lou Lou Moose was playing her new flute when she bumped her loose tooth, causing it to come out. Her loose tooth fell out as a new tooth was about to replace it. The short poem also highlights the different vowel sounds in the words tooth, Lou Lou, and flute.
Special senses
Special sensesstanralph This document defines common abbreviations used in ophthalmology and otolaryngology. It provides the expansions and meanings for abbreviations related to the eye, ear, nose and throat, including pressure equalizing tube, bone conduction, both ears, emmetropia, exotropia, left eye, extraocular movement, visual acuity, and otitis media.
Cognitive dissonance is a Good thing
Cognitive dissonance is a Good thingAditya Gupta This paper explores cognitive dissonance and doublethink, distinguishing the two and arguing that transitioning from doublethink to cognitive dissonance is beneficial for critical thinkers. The research presents ways to achieve this movement, emphasizing the importance of awareness of conflicting thoughts and the role of consistency in thought processes. Ultimately, the authors advocate for a model that promotes consistent value prioritization, encouraging multi-perspectival thinking as a desirable cognitive state.
Shapes shapes-everywhere
Shapes shapes-everywherekinderstars This document is a list of questions asking "What shapes do you see?" repeated multiple times. It appears to be a worksheet or activity for young students to identify different shapes that may be present in their environment or pictures. The repetitive phrase and formatting suggests it is intended for kindergarteners to practice recognizing basic shapes like circles, squares, triangles through observation.
Canon職能分享-李博儒
Canon職能分享-李博儒Po-ru Lee 本文介绍了多种茶类，包括白茶、黄茶、绿茶、青茶、红茶和普洱茶，各种茶的制作工艺和特点进行了详细描述。它强调了红茶在国际市场的主导地位，并指出了烏龍茶独特的加工方式。整体上，文章展示了茶文化的丰富性和多样性。
Jenny jaguar
Jenny jaguarkinderstars Jenny Jaguar enjoys juggling jars of J's, as she likes to juggle, jump, and jog while making her J's jingle in the jars. She invites others to come juggle J's with her as she continues juggling J's.
Responses
ResponsesAditya Gupta An MS from a top US university provides better career prospects than an MTech from India, especially for jobs at top tech companies. There are three main reasons to pursue an MS abroad - for work opportunities abroad, high quality research experience, and better access to jobs at companies like Google and Facebook without intensive interviews. An MBA is generally pursued by those with work experience already, while an MS or PhD is better for pursuing a research career path. The costs of higher education abroad must be weighed against the potential salary and career benefits.
Infographie passage au cloud
Infographie passage au cloudAtoutDSI Suite à l’étude « La migraine post-Cloud » menée par Sungard AS sur les coûts cachés du passage au Cloud, une infographie a également été réalisée afin de mettre en avant les inégalités face à ce phénomène.
Angely flores
Angely floresFlores Angely El diseño gráfico consiste en concebir, organizar, proyectar y realizar comunicaciones visuales producidas industrialmente para transmitir mensajes específicos a grupos sociales con objetivos claros. Un diseñador gráfico es un profesional universitario con habilidades artísticas y capacidad de abstracción para resolver problemas de comunicación visual interpretando las exigencias del cliente. El documento presenta breves biografías de destacados diseñadores gráficos como Paul Rand, Milton Glaser y Saul Bass.
More Related Content
What's hot (11)
Integer sequence learning using Python
Integer sequence learning using PythonRushikesh Kinhalkar The document discusses integer sequence learning, focusing on the development of machine learning algorithms to predict the next number in an integer sequence. It outlines problem statements, the importance of sequence learning for various applications, and introduces different algorithms including linear recurrence relations, n-grams, and RNNs. The goal is to identify patterns in sequences to solve mathematical and practical problems effectively.
Supervised Machine Learning Techniques
Supervised Machine Learning TechniquesTara ram Goyal This document discusses supervised machine learning techniques. It defines supervised learning as using patterns from historical labeled data to predict labels for new unlabeled data. The main types of supervised learning are classification and regression. Classification algorithms predict categorical labels while regression algorithms predict numeric values. Common supervised learning algorithms discussed are linear regression, decision trees, logistic regression, and Naive Bayes. Examples applications mentioned include speech recognition, web search, machine translation, spam filtering, fraud detection, medical diagnosis, stock analysis, structural health monitoring, image search, and recommendation systems.
Lesson 11 1
Lesson 11 1nabanita123 This document summarizes a computer science lesson on algorithms and flowcharts. It discusses defining sequential, selective, and repetitive constructs to represent program flow. Sequential constructs execute steps strictly in order. Selection constructs execute code conditionally. Iterative constructs allow statements to repeat until a condition is met. Examples are given of algorithms and flowcharts for calculating averages, finding the largest of two numbers, and counting from 1 to 10. Students are asked to complete homework on algorithm characteristics, summing 10 numbers, and the Fibonacci series.
Merge sort data structures
Merge sort data structureschauhankapil Merge Sort follows the divide and conquer approach to sort a list by recursively dividing it into smaller sub-lists, sorting those sub-lists using the same approach, and then merging the sorted sub-lists back together; it runs in O(n log n) time by breaking the problem into smaller problems of sorting each half of the list, combining the solutions by merging the halves back together; the document provides an overview of the merge sort algorithm and its use of divide and conquer to break down a sorting problem into subproblems.
Applied Artificial Intelligence Unit 2 Semester 3 MSc IT Part 2 Mumbai Univer...
Applied Artificial Intelligence Unit 2 Semester 3 MSc IT Part 2 Mumbai Univer...Madhav Mishra This document covers probability theory and fuzzy sets and fuzzy logic, which are topics for an applied artificial intelligence unit. It discusses key concepts for probability theory including joint probability, conditional probability, and Bayes' theorem. It also covers fuzzy sets and fuzzy logic, including fuzzy set operations, types of membership functions, linguistic variables, and fuzzy propositions and inference rules. Examples are provided throughout to illustrate probability and fuzzy set concepts. The document is presented as a slideshow with explanatory text and diagrams on each slide.
Topic 1.4: Randomized Algorithms
Topic 1.4: Randomized AlgorithmsKM Bappi The document discusses randomized algorithms. Randomized algorithms employ randomness as part of their logic, using random bits to guide their behavior. This allows them to achieve good average performance over many trials. The output or running time of a randomized algorithm is a random variable. Advantages include simplicity, efficiency through testing many possibilities, and better complexity bounds than deterministic algorithms. Disadvantages include potential for hardware failures from long runtimes, high memory usage for repeated processes, and longer runtimes as operations split into many parts.
Syllabus ms
Syllabus msbikram ... The document provides a syllabus for the MS and PhD entrance test for the School of Information Technology at IIT Kharagpur. It outlines the topics that will be covered in the test, including basic mathematics, programming basics, computing systems basics, and logical reasoning. The mathematics section covers topics like set theory, matrices, combinatorics, and probability and statistics. The programming section outlines basic concepts like decision structures, recursion, data structures, searching and sorting. The computing systems section covers computer organization, networking, databases, and operating systems. Logical reasoning assesses verbal reasoning through puzzles and non-verbal reasoning through pattern perception and rule detection puzzles.
Lecture 1-cs648
Lecture 1-cs648Anshul Yadav This document provides an overview of the randomized algorithms course. It defines randomized algorithms as algorithms whose output or running time depends on both the input and random bits chosen. Two types are described: Las Vegas algorithms always produce the correct output but have random running time, and Monte Carlo algorithms may produce incorrect output with some probability but have deterministic running time. Randomized algorithms are often simpler and more efficient than deterministic ones. Examples of problems solved more easily with randomized algorithms include sorting, finding the smallest enclosing circle, computing minimum cuts, and primality testing. The course will cover programming assignments, midterm and final exams, with passing criteria outlined. Office hours and contact details are provided.
1 introduction to problem solving and programming
1 introduction to problem solving and programmingRheigh Henley Calderon The document discusses the steps of problem solving which include identifying the problem, understanding it, identifying alternative solutions, selecting the best solution, listing instructions to implement it, and evaluating the solution. It also describes types of problems that can be solved algorithmically or heuristically and discusses problem solving with computers including defining solutions, results, programs, and artificial intelligence. Finally, it outlines some difficulties in problem solving like eliminating good alternatives or not following logical steps.
SPSF01 - Algorithm
SPSF01 - AlgorithmSyeilendra Pramuditya This document discusses algorithms, flowcharts, and pseudocode used in programming and computation. It provides examples of an algorithm to find the largest number in a list and the corresponding pseudocode. The general steps for programming in physics are outlined, including finding a physical problem, developing mathematical models and equations, making an algorithm, flowchart, and pseudocode, and then developing a computer program to solve the problem.
Bca3020– data base management system(dbms)
Bca3020– data base management system(dbms)smumbahelp This document provides information about getting solved assignments by email or phone. It includes contact details for an assignment help service and then provides sample questions and answers related to a database management systems course. The questions cover topics like entities, attributes, relationships, database manager responsibilities, file organization, the LIKE predicate, relational algebra operations, and object-oriented programming features.
Viewers also liked (20)
法雅客攝影馬拉松記錄
法雅客攝影馬拉松記錄Po-ru Lee 该文档记录了李博儒和王美钧在2014年第13届法雅客24小时数字摄影马拉松中的参赛作品和创作思路。他们围绕四个主题进行创作，分别是《轻摇滚》、《幸福旅程》、《危险世界》和《城市之光》，通过城市摄影展现了各自对主题的理解与表现。尽管他们努力表达创意，最终还是未能获奖。
The Health Benefits of Indian Food
The Health Benefits of Indian Foododdjoker3810 Indian food, particularly curries, is associated with numerous health benefits, including potential heart health improvement due to turmeric's active compound curcumin. Research indicates that spices like chillies and ingredients like yoghurt may help regulate insulin levels, while a diet rich in fruits and vegetables found in Indian cuisine may lower cancer risks. While many studies are preliminary and conducted on animals, the overall evidence suggests that Indian dietary practices can contribute positively to health.
Lou lou moose
Lou lou moosekinderstars Lou Lou Moose was playing her new flute when she bumped her loose tooth, causing it to come out. Her loose tooth fell out as a new tooth was about to replace it. The short poem also highlights the different vowel sounds in the words tooth, Lou Lou, and flute.
Special senses
Special sensesstanralph This document defines common abbreviations used in ophthalmology and otolaryngology. It provides the expansions and meanings for abbreviations related to the eye, ear, nose and throat, including pressure equalizing tube, bone conduction, both ears, emmetropia, exotropia, left eye, extraocular movement, visual acuity, and otitis media.
Cognitive dissonance is a Good thing
Cognitive dissonance is a Good thingAditya Gupta This paper explores cognitive dissonance and doublethink, distinguishing the two and arguing that transitioning from doublethink to cognitive dissonance is beneficial for critical thinkers. The research presents ways to achieve this movement, emphasizing the importance of awareness of conflicting thoughts and the role of consistency in thought processes. Ultimately, the authors advocate for a model that promotes consistent value prioritization, encouraging multi-perspectival thinking as a desirable cognitive state.
Shapes shapes-everywhere
Shapes shapes-everywherekinderstars This document is a list of questions asking "What shapes do you see?" repeated multiple times. It appears to be a worksheet or activity for young students to identify different shapes that may be present in their environment or pictures. The repetitive phrase and formatting suggests it is intended for kindergarteners to practice recognizing basic shapes like circles, squares, triangles through observation.
Canon職能分享-李博儒
Canon職能分享-李博儒Po-ru Lee 本文介绍了多种茶类，包括白茶、黄茶、绿茶、青茶、红茶和普洱茶，各种茶的制作工艺和特点进行了详细描述。它强调了红茶在国际市场的主导地位，并指出了烏龍茶独特的加工方式。整体上，文章展示了茶文化的丰富性和多样性。
Jenny jaguar
Jenny jaguarkinderstars Jenny Jaguar enjoys juggling jars of J's, as she likes to juggle, jump, and jog while making her J's jingle in the jars. She invites others to come juggle J's with her as she continues juggling J's.
Responses
ResponsesAditya Gupta An MS from a top US university provides better career prospects than an MTech from India, especially for jobs at top tech companies. There are three main reasons to pursue an MS abroad - for work opportunities abroad, high quality research experience, and better access to jobs at companies like Google and Facebook without intensive interviews. An MBA is generally pursued by those with work experience already, while an MS or PhD is better for pursuing a research career path. The costs of higher education abroad must be weighed against the potential salary and career benefits.
Infographie passage au cloud
Infographie passage au cloudAtoutDSI Suite à l’étude « La migraine post-Cloud » menée par Sungard AS sur les coûts cachés du passage au Cloud, une infographie a également été réalisée afin de mettre en avant les inégalités face à ce phénomène.
Angely flores
Angely floresFlores Angely El diseño gráfico consiste en concebir, organizar, proyectar y realizar comunicaciones visuales producidas industrialmente para transmitir mensajes específicos a grupos sociales con objetivos claros. Un diseñador gráfico es un profesional universitario con habilidades artísticas y capacidad de abstracción para resolver problemas de comunicación visual interpretando las exigencias del cliente. El documento presenta breves biografías de destacados diseñadores gráficos como Paul Rand, Milton Glaser y Saul Bass.
Farley fox
Farley foxkinderstars Farley Fox enjoyed fishing for food and fiddling for fun. He sang about watching him fiddle while fetching fish, proclaiming himself to be the finest fisherman. However, Farley fell into the foam and his family had to fetch him, bidding him farewell.
Crazy camel
Crazy camelkinderstars The poem describes a camel eating various foods that begin with C including cookies, candies, caramels, carrot cake, cotton candy, cashews, and crunching them while riding in a cable car to a Cookie Carnival.
Bet365 review
Bet365 review mafsmafs In the Bet365 review, we look at the World's largest bookmaker in the betting industry. They offer one wallet system, huge bonuses, great limits and odds. They are one of the world's leading online gambling groups with over twelve million customers in 200 different countries. T
e-bulletin-November2010
e-bulletin-November2010Vivek kaser The document summarizes a workshop held in Goa on introducing a unique identification number for people living with HIV/AIDS (PLHIV). Key recommendations from the workshop include assigning a unique ID number to every newly identified HIV positive person to facilitate care, treatment and follow up. This will help minimize duplicate reporting of cases and pave the way for a planned smart card system. Officials from the Goa State AIDS Control Society and the National AIDS Control Organization were present and support the move to pilot this unique ID system first in Goa before expanding it across India.
Old joe crow
Old joe crowkinderstars Old Joe Crow rows his rowboat home slowly. The document discusses spelling patterns for the long O sound, including that O and E spell long O, as in Joe and home, and OW spells words like row and mow. It also notes that OA spells long O, as in boat.
為你而讀＿國家記憶
為你而讀＿國家記憶Po-ru Lee 本文档讨论了美国国家档案馆中关于中国-缅甸-印度战场的影像资料及其重要性。强调了国家记忆的重要性以及对涉及战争的个人和事件的纪念。文中还提供了多个相关链接和参考资料，供进一步探索。
Endocrine system 1
Endocrine system 1stanralph -uria is a medical suffix meaning condition of the urine, such as hematuria which refers to blood in the urine. -emia is a suffix meaning condition of the blood, for example hyperlipidemia refers to high lipid or cholesterol levels in the blood which increases the risk of atherosclerosis. The document defines the suffixes -uria and -emia as used in medical terminology and provides examples of terms using each suffix along with their meanings.
IE Admission Essay Question- A (UN Secretary)
IE Admission Essay Question- A (UN Secretary) Aman Tripathi The document discusses the ongoing conflict between India and Pakistan over the region of Kashmir since their independence in 1947. It outlines the various wars they have fought over Kashmir and increasing terrorist attacks as a result of the conflict. The author proposes two actions for the UN Secretary General: 1) Formalize the current line of control as the permanent border between India and Pakistan. 2) Make the Kashmir valley a quasi-independent nation with UN involvement to act as a buffer between the two countries. The ongoing conflict has resulted in loss of lives, unrest in Kashmir, reduced tourism and cultural exchange, and nuclear threats between the two nations. Collaboration and peace are needed instead of further war.
Ad
Similar to mmmmmmm (20)
35 algorithm-types
35 algorithm-typesashish bansal This document discusses different types of algorithms. It provides examples of:
- Simple recursive algorithms that solve base cases and recursively call simpler subproblems.
- Backtracking algorithms that use depth-first search and backtrack when choices lead to dead ends.
- Divide and conquer algorithms that divide problems into subproblems, solve the subproblems recursively, and combine the solutions.
- Dynamic programming algorithms that store and reuse solutions to overlapping subproblems to optimize problems.
- Greedy algorithms that make locally optimal choices at each step to hopefully find a global optimum.
- Branch and bound algorithms that construct a search tree and prune suboptimal branches.
- Brute force algorithms that exhaustively check all possibilities until finding a solution
algorithm-types.ppt
algorithm-types.pptTusharSharma759024 This document discusses different types of algorithms. It describes 8 categories: simple recursive algorithms, backtracking algorithms, divide and conquer algorithms, dynamic programming algorithms, greedy algorithms, branch and bound algorithms, brute force algorithms, and randomized algorithms. For each type, it provides 1-2 examples to illustrate the approach, such as using recursion to count elements in a list, backtracking to solve a map coloring problem, and dynamic programming to calculate Fibonacci numbers faster.
35-algorithm-types.ppt
35-algorithm-types.pptHarikumarRajandran1 This document discusses different types of algorithms. It describes 8 categories: simple recursive algorithms, backtracking algorithms, divide and conquer algorithms, dynamic programming algorithms, greedy algorithms, branch and bound algorithms, brute force algorithms, and randomized algorithms. For each type, it provides 1-2 examples to illustrate the approach, such as using recursion to count elements in a list, backtracking to solve a map coloring problem, and dynamic programming to calculate Fibonacci numbers faster.
35 algorithm-types
35 algorithm-typesEducationalJunction This document discusses different types of algorithms. It provides examples of:
- Simple recursive algorithms that solve base cases and recursively call simpler subproblems.
- Backtracking algorithms that use depth-first search and backtrack when choices lead to dead ends.
- Divide and conquer algorithms that divide problems into subproblems, solve the subproblems recursively, and combine the solutions.
- Dynamic programming algorithms that store and reuse solutions to overlapping subproblems to optimize problems.
- Greedy algorithms that make locally optimal choices at each step to hopefully find a global optimum.
- Branch and bound algorithms that construct a search tree and prune suboptimal branches.
- Brute force algorithms that exhaustively check all possibilities until finding a solution
Types of Algorithms.ppt
Types of Algorithms.pptALIZAIB KHAN This document provides a summary of an algorithms course taught by Ali Zaib Khan. It includes the course code, title, instructor details, term, duration, and course contents which cover various algorithm design techniques. It also lists the required textbooks and discusses advance algorithm analysis. Finally, it categorizes different types of algorithms such as recursive, backtracking, divide-and-conquer, dynamic programming, greedy, branch-and-bound, brute force, and randomized algorithms.
Types of algorithms
Types of algorithmsAmelita Martinez This document discusses different types of algorithms. It provides a short list of algorithm categories including simple recursive, backtracking, divide and conquer, dynamic programming, greedy, branch and bound, brute force, and randomized algorithms. For each type, it provides examples and brief descriptions of how they work at a high level.
Algorithm types
Algorithm typesJavariaIbrahim Types of algorithms can be classified into several categories including:
- Recursive algorithms that break problems into smaller subproblems.
- Dynamic programming algorithms that store results of subproblems to avoid recomputing them.
- Greedy algorithms that make locally optimal choices at each step to find a global optimum.
- Divide and conquer algorithms that divide problems into subproblems, solve the subproblems recursively, and combine the results.
- Backtracking algorithms that incrementally build candidates and abandon partial candidates ("backtrack") that cannot lead to valid solutions.
Algorithm designs and its technique.ppt
Algorithm designs and its technique.pptAnchalaSharma4 The document outlines various algorithm strategies for problem-solving, including recursive, backtracking, divide and conquer, dynamic programming, and greedy algorithms. Each approach is described with methods and examples, such as the Fibonacci sequence for dynamic programming and Kruskal's algorithm for greedy solutions. It emphasizes the importance of choosing the right strategy based on problem type and goal, whether to find any satisfactory solution or optimize for the best result.
ADT(Algorithm Design Technique Backtracking algorithm).ppt
ADT(Algorithm Design Technique Backtracking algorithm).pptAnchalaSharma4 The document outlines various algorithm strategies for problem-solving including recursive, backtracking, divide and conquer, dynamic programming, and greedy algorithms. It provides definitions, approaches, and examples for each method, detailing how they function and their applications in real-world scenarios such as the knapsack problem and sorting algorithms like quicksort and mergesort. The overall focus is on understanding these algorithmic strategies to optimize solutions and improve efficiency in computational tasks.
Algo Strategies and explaination ppt.pdf
Algo Strategies and explaination ppt.pdfsayalishivarkar1 The document outlines key algorithmic strategies in data structures, including divide-and-conquer, greedy, and dynamic programming approaches. It emphasizes the importance of classifying algorithms based on their design strategies to better understand and solve problems, providing examples like quicksort, merge sort, and Huffman coding. Additionally, it discusses approximation algorithms used for complex problems where optimal solutions are computationally expensive.
algo classification.pptx
algo classification.pptxShivaniSharma335055 The document discusses different categories of algorithms. It describes 8 types: simple recursive algorithms, backtracking algorithms, divide and conquer algorithms, dynamic programming algorithms, greedy algorithms, branch and bound algorithms, brute force algorithms, and randomized algorithms. For each type, it provides 1-2 examples and explains the general approach, with dynamic programming focusing on storing solutions to overlapping subproblems to solve larger problems efficiently.
Algorithm.pptx
Algorithm.pptxDipayanSadhu1 The document discusses algorithms and their properties. It defines an algorithm as a finite sequence of steps to solve a specific problem. Algorithms must have a defined input and output, and can solve the same problem in different ways. Common algorithm types include recursive, dynamic programming, backtracking, divide and conquer, greedy, brute force, and heuristic algorithms. Efficiency is measured by time and space complexity. Variables are introduced as a way to store input, intermediate results, and output values in algorithms.
algorithm design.pptx
algorithm design.pptxssuserd11e4a This document discusses algorithm design and classifications. It begins with an activity where students are divided into groups to identify classifications of algorithm implementation methods and design methods. Some key classifications discussed include greedy method, divide and conquer, dynamic programming, and backtracking. Implementation methods include recursion/iteration, exact/approximate, and serial/parallel/distributed algorithms. The document emphasizes that classifying algorithms helps with organization, problem solving, performance comparison, reusability, and research. It provides examples to illustrate different classifications. Students then complete an assignment to identify classifications and an evaluation through multiple choice questions.
Unit 2 algorithm
Unit 2 algorithmDabbal Singh Mahara This document provides an overview of algorithms. It begins by discussing the origins and evolution of the term "algorithm" from its Arabic roots in the 9th century to its modern meaning of a well-defined computational procedure. The document then defines algorithms and their key characteristics such as being precise, unambiguous, and terminating after a finite number of steps. Common algorithm design techniques like divide-and-conquer, greedy algorithms, and dynamic programming are introduced. Examples of merge sort and finding the maximum element in a list are used to illustrate algorithm concepts.
Design and Analysis of Algorithm for II year Computer science and Engineering...
Design and Analysis of Algorithm for II year Computer science and Engineering...Kalpana Devi M The document outlines the fundamentals of algorithms, defining an algorithm as a sequence of steps to solve problems efficiently. It discusses various properties such as finiteness, definiteness, and effectiveness, alongside different methods of computing the greatest common divisor using Euclid’s algorithm, among others. Moreover, it emphasizes the importance of algorithm correctness, efficiency analysis through time and space complexity, and introduces various algorithm design techniques and problem types.
"A short and knowledgeable concept about Algorithm "
"A short and knowledgeable concept about Algorithm "CHANDAN KUMAR This document discusses algorithms and their properties. It defines an algorithm as a finite set of well-defined instructions to solve a problem. There are five criteria for writing algorithms: they must have inputs and outputs, be definite, finite, and effective. Algorithms use notation like step numbers, comments, and termination statements. Common algorithm types are dynamic programming, greedy, brute force, and divide and conquer. An example algorithm calculates the average of four numbers by reading inputs, computing the sum, calculating the average, and writing the output. Key patterns in algorithms are sequences, decisions, and repetitions.
Design and Analysis Algorithms.pdf
Design and Analysis Algorithms.pdfHarshNagda5 This document provides information about an algorithms course, including the course syllabus and topics that will be covered. The course topics include introduction to algorithms, analysis of algorithms, algorithm design techniques like divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound. It also covers NP-hard and NP-complete problems. The syllabus outlines 5 units that will analyze performance, teach algorithm design methods, and solve problems using techniques like divide and conquer, dynamic programming, and backtracking. It aims to help students choose appropriate algorithms and data structures for applications and understand how algorithm design impacts program performance.
Design and Analysis of algorithms unit 1 notes
Design and Analysis of algorithms unit 1 notessangeja1 The document outlines the syllabus for a course on design and analysis of algorithms, covering various units such as problem-solving methods, array techniques, sorting and searching, and text processing. It emphasizes the development and efficiency analysis of algorithms, and contains prescribed textbooks and examination patterns. Additionally, the document details the objectives, techniques of problem-solving, and the importance of modularity, documentation, and testing in programming.
ADA complete notes
ADA complete notesVinay Kumar C 1. An algorithm is a sequence of unambiguous instructions to solve a problem within a finite amount of time. It takes an input, processes it, and produces an output.
2. Designing an algorithm involves understanding the problem, choosing a computational model and problem-solving approach, designing and proving the algorithm's correctness, analyzing its efficiency, coding it, and testing it.
3. Important algorithm design techniques include brute force, divide and conquer, decrease and conquer, transform and conquer, dynamic programming, and greedy algorithms.
Algorithms
AlgorithmsRamy F. Radwan This document discusses algorithms and their applications in computer science. It begins with acknowledging those who helped with a course on algorithms. It then provides an introduction to algorithms, describing them as step-by-step procedures for solving general problems. The document provides examples of algorithms for finding the maximum value in a list, searching for a value linearly, and sorting values with bubble sort. It concludes by describing a Java program that uses an algorithm to search for a value within an array.
Ad
More from Kawsar Ahmed (7)
Computer virus
Computer virusKawsar Ahmed The document discusses computer viruses, how they spread and affect systems. It describes how the first virus, called "Creeper, was created in 1970s and outlines common ways viruses enter systems like through email attachments. Different virus types are outlined like memory resident viruses, boot sector viruses and macro viruses that hide in various parts of the system. Symptoms of virus infection and basic prevention tips are provided.
System software is creating a modern world
System software is creating a modern world Kawsar Ahmed System software is a type of computer program that runs a computer's hardware and allows it to run application programs. The most well-known example of system software is the operating system, which manages other programs and resources. Windows, developed by Microsoft, is a powerful system software that provides a graphical user interface and platform to run applications. It was first released in 1985 and has continued evolving through various versions to its current form, with over 1 billion users worldwide.
Algorithm Design Presentation
Algorithm Design PresentationKawsar Ahmed This document discusses algorithm design and provides information on various algorithm design techniques. It begins with definitions of an algorithm and algorithm design. It then discusses the importance of algorithm design and some common algorithm design techniques including dynamic programming, graph algorithms, divide and conquer, backtracking, greedy algorithms, and using flowcharts. It also provides brief descriptions and examples of each technique. The document concludes by listing some advantages of designing algorithms such as ease of use, performance, scalability, and stability.
Flow chart
Flow chartKawsar Ahmed This presentation introduces flowcharts and their uses. It discusses that a flowchart represents a workflow or process through boxes and arrows. It then provides an example flowchart and describes different types of flowcharts from the perspectives of managers, analysts, and clerks. The presentation lists the symbols used in flowcharts and their advantages for communication, analysis, and documentation. It also discusses how flowcharts guide coding, debugging, and maintenance while noting their disadvantages for complex logic, alterations, and reproduction.
Computer Networking
Computer NetworkingKawsar Ahmed A network consists of two or more connected computers that share resources like files, printers, and communication. Computers can be connected through cables, phone lines, wireless transmission, satellites, or infrared light. Depending on the geographic area covered, networks are classified as local area networks (LANs), metropolitan area networks (MANs), wide area networks (WANs), personal area networks (PANs), or campus area networks. A LAN connects computers within a building or home, while a MAN spans a city or large campus and a PAN connects devices within a few meters of an individual.
Application software
Application softwareKawsar Ahmed The document discusses application software and provides details about types of application software. It lists group members and then defines application software as programs designed to help users perform specific tasks, unlike system software which manages computer capabilities. It provides examples of application software types like information worker software including accounting and spreadsheet programs, as well as educational, simulation, media development, and product engineering software. The document also notes the importance of application software and provides examples of free application programs.
Computer security
Computer securityKawsar Ahmed Computer security involves protecting computing systems and data from unauthorized access or modification. It aims to ensure integrity, confidentiality, reliability, and authentication of data. Complete security is impossible as networks carry both legitimate and malicious traffic, making computer security an ongoing challenge similar to crime prevention. Common security threats include password guessing, phishing, spoofing, backdoors, buffer overflows, and denial of service attacks. Protecting computers requires techniques like encryption, secure networks, antivirus software, firewalls, and safe computing practices for users.
mmmmmmm
- 2. Nabia Rahman Farjana Sarmin Name of Group Members MD. Osman Goni Sumayea Musarat
- 3. An algorithm is a procedure or formula for solving a problem. Derives from the mathematician, Mohammed ibn-Musa al-Khwarizmi. Al-Khwarizmi's work is the likely source for the word algebra as well.
- 4. In mathematics and computer science, an algorithm is a step-by-step procedure for calculations. Algorithms are used for calculation, data processing, and automated reasoning. A program is one type of algorithm All programs are algorithms Not all algorithms are programs!
- 5. Using a similar problem-solving approach can be grouped together The purpose is not to be able to classify an algorithm as one type or another, but to highlight the various ways in which a problem can be attacked.
- 6. • Simple recursive algorithms • Backtracking algorithms • Divide and conquer algorithms • Dynamic programming algorithms • Greedy algorithms • Branch and bound algorithms • Brute force algorithms • Randomized algorithms
- 7. A simple recursive algorithm: Solves the base cases directly Recurs with a simpler sub problem Does some extra work to convert the solution to the simpler sub problem into a solution to the given problem I call these “simple” because several of the other algorithm types are inherently recursive
- 9. Given a list, find a specific element in the list We will see two types Linear search Binary search
- 12. Given a list, put it into some order We will see Three types Bubble sort Selection sort Quick sort
- 16. In computer science, divide and conquer is an important algorithm design paradigm based on multi-branched recursion. It works by recursively breaking down a problem into two or more sub-problems.
- 17. It is a method for solving complex problems by breaking them down into simpler sub problems.
- 18. It is a general algorithm for finding optimal solutions of various optimization problems. A branch-and-bound algorithm consists of a systematic calculation of all candidate solutions.
- 19. A brute force algorithm simply tries all possibilities until a satisfactory solution is found - Such an algorithm can be: Optimizing - Example: Finding the best path for a travelling salesman Satisfying - Example: Finding a travelling salesman path that is within 10% of optimal
- 20. A randomized algorithm uses a random number at least once during the computation to make a decision Example: In Quicksort, using a random number to choose a pivot Example: Trying to factor a large prime by choosing random numbers as possible divisors