JNTU-K B.TECH R19 3-2 Syllabus For Design and analysis of algorithms PDF 2022
January 31, 2022 2022-01-31 20:27JNTU-K B.TECH R19 3-2 Syllabus For Design and analysis of algorithms PDF 2022
JNTU-K B.TECH R19 3-2 Syllabus For Design and analysis of algorithms PDF 2022
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You will be able to find information about Design and analysis of algorithms along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Design and analysis of algorithms after reading this blog. Design and analysis of algorithms has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Design and analysis of algorithms can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.
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Design and analysis of algorithms Unit One
Introduction
Introduction: Algorithm Definition, Algorithm Specification, performance Analysis, Performance measurement, Asymptotic notation, Randomized Algorithms.Sets &Disjoint set union: introduction, union and find operations.Basic Traversal & Search Techniques: Techniques for Graphs, connected components and Spanning Trees, Bi-connected components and DFS.
Design and analysis of algorithms Unit Two
Divide and Conquer
Divide and Conquer: General Method, Defective chessboard, Binary Search, finding the maximum and minimum, Merge sort, Quick sort.The Greedy Method: The general Method, container loading, knapsack problem, Job sequencing with deadlines, minimum-cost spanning Trees.
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Design and analysis of algorithms Unit Three
Dynamic Programming
Dynamic Programming:The general method, multistage graphs, All pairs-shortest paths, single-source shortest paths: general weights, optimal Binary search trees, 0/1 knapsack, reliability Design, The traveling salesperson problem, matrix chain multiplication.
Design and analysis of algorithms Unit Four
Backtracking
Backtracking:The General Method, The 8-Queens problem, sum of subsets, Graph coloring, Hamiltonian cycles, knapsack problem.Branch and Bound: FIFO Branch-and-Bound, LC Branch-and-Bound, 0/1 Knapsack problem, Traveling salesperson problem.
Design and analysis of algorithms Unit Five
NP-Hard and NP-Complete
NP-Hard and NP-Complete problems: Basic concepts, Cook’s Theorem.String Matching: Introduction, String Matching-Meaning and Application, NaÏve String Matching Algorithm, Rabin-Karp Algorithm, Knuth-Morris-Pratt Automata, Tries, Suffix Tree.
Design and analysis of algorithms Course Objectives
Toprovideanintroductiontoformalismstounderstand,analyzeanddenote time complexities ofalgorithmsTo introduce the different algorithmic approaches for problem solving through numerous exampleproblemsToprovidesometheoreticalgroundingintermsoffindingthelowerbounds of algorithms and theNP-completeness
Design and analysis of algorithms Course Outcomes
DescribeasymptoticnotationusedfordenotingperformanceofalgorithmsAnalyze the performance of a given algorithm and denote its time complexityusingtheasymptoticnotationforrecursiveandnon-recursive algorithmsList and describe various algorithmicapproachesSolveproblemsusingdivideandconquer,greedy,dynamicprogramming, backtracking and branch and bound algorithmicapproachesApply graph search algorithms to real worldproblemsDemonstrate an understanding of NP-Completeness theory and lower boundtheory
Design and analysis of algorithms Text Books
1)Ellis Horowitz, Sartaj Sahni,Sanguthevar Rajasekaran, “ Fundamentals of Computer Algorithms”, 2ndEdition, Universities Press.2)Harsh Bhasin, “ Algorithms Design & Analysis”, Oxford University Press.
Design and analysis of algorithms Reference Books
1)Horowitz E. Sahani S: “Fundamentals of Computer Algorithms”, 2ndEdition, Galgotia Piblications, 2008.2)S. Sridhar, “Design and Analysis of Algorithms”, Oxford University Press.
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