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Design and Analysis of Algorithms Tutorial
An Algorithm is a sequence of steps to solve a problem. Design and Analysis of Algorithm is very important for designing algorithm to solve different types of problems in the branch of computer science and information technology. This Learn Design and Analysis of Algorithms introduces the fundamental concepts of Designing Strategies, Complexity analysis of Algorithms, followed by problems on Graph Theory and Sorting methods. The Learn Design and Analysis of Algorithms also includes the basic concepts on Complexity theory.
The Learn Design and Analysis of Algorithms has been designed for students pursuing a degree in any computer science, engineering, and/or information technology related fields. It attempts to help students to grasp the essential concepts involved in algorithm design.
The readers should have basic knowledge of programming and mathematics. The readers should know data structure very well. Moreover, it is preferred if the readers have basic understanding of Formal Language and Automata Theory.
Content this app:
"1.Home",
"2.DAA - Introduction",
"3.DAA - Analysis of Algorithms",
"4.DAA - Methodology of Analysis",
"5.Asymptotic Notations & Apriori Analysis",
"6.DAA - Space Complexities",
"7.DAA - Divide & Conquer",
"8.DAA - Max-Min Problem",
"9.DAA - Merge Sort",
"10.DAA - Binary Search",
"11.Strassen’s Matrix Multiplication",
"12.DAA - Greedy Method",
"13.DAA - Fractional Knapsack",
"14.DAA - Job Sequencing with Deadline",
"15.DAA - Optimal Merge Pattern",
"16.DAA - Dynamic Programming",
"17.DAA - 0-1 Knapsack",
"18.Longest Common Subsequence",
"19.DAA - Spanning Tree",
"20.DAA - Shortest Paths",
"21.DAA - Multistage Graph",
"22.Travelling Salesman Problem",
"23.Optimal Cost Binary Search Trees",
"24.DAA - Binary Heap",
"25.DAA - Insert Method",
"26.DAA - Bubble Sort",
"27.DAA - Selection Sort",
"28.DAA - Quick Sort",
"29.DAA - Max Cliques",
"30.DAA - Vertex Cover",
"31.DAA - P and NP Class",
"32.DAA - Cook’s Theorem",
"33.NP Hard & NP-Complete Classes",
"34.DAA - Hill Climbing Algorithm",
"35.DAA - Quick Guide"
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Last updated on May 8, 2018
An Algorithm is a sequence of steps to solve a problem. Design and Analysis of Algorithm is very important for designing algorithm to solve different types of problems in the branch of computer science and information technology. This tutorial introduces the fundamental concepts of Designing Strategies, Complexity analysis of Algorithms, followed by problems on Graph Theory and Sorting methods. This tutorial also includes the basic concepts on Complexity theory.
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Learn Design and Analysis of Algorithms
1.0 by Free Academic Tutorials
May 8, 2018