Learn Design and Analysis of Algorithms

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.

Features:

✓ Basics of Algorithms: Introduction,Analysis of Algorithms,Methodology of Analysis,Asymptotic Notations & Apriori Analysis,Space Complexities

✓ Design Strategies: Divide & Conquer,Max-Min Problem,Merge Sort,Binary Search,Strassen’s Matrix Multiplication,Greedy Method,Fractional Knapsack,Job Sequencing with Deadline,Optimal Merge Pattern,Dynamic Programming,0-1 Knapsack,Longest Common Subsequence

✓ Graph Theory: Spanning Tree, Shortest Paths, Multistage Graph,Travelling Salesman Problem,Optimal Cost Binary Search Trees

✓ Heap Algorithms: Binary Heap,Insert Method,Heapify Method,Extract Method

✓ Sorting Methods: Bubble Sort,Insertion Sort,Selection Sort,Quick Sort,Radix Sort

✓ Complexity Theory: Deterministic vs. Nondeterministic Computations,Max Cliques,Vertex Cover,P and NP Class,Cook’s Theorem,NP Hard & NP-Complete Classes,Hill Climbing Algorithm

✓ Includes more tutorial videos.

✓ Ability to learn on your own time from anywhere when you can’t access the internet.

✓ Optimized for most Android supported devices with enhanced graphics and design

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