Free Download - Design and Analysis of Computer Algorithms – Lecture Notes : By David M. Mount.

Title      :  Design and Analysis of Computer 
            Algorithms – Lecture Notes
Author  :  David M. Mount,
               Department of Computer Science,
               University of Maryland.

BOOK Length : 135 pages
BOOK File Format : PDF
BOOK Language : English


BOOK Description :

Table of Contents

• Lecture - 1 : Course Introduction
• Lecture - 2 : Mathematical Background
• Lecture - 3 : Review of Sorting and selection
• Lecture - 4 : Dynamic Programming : Longest Common Subsequence
• Lecture - 5 : Dynamic Programming : Chain Matrix Multiplication
• Lecture - 6 : Dynamic Programming : Minimum Weight Triangulation
• Lecture - 7 : Greedy Algorithms : Activity Selection and Fractional Knapack
• Lecture - 8 : Greedy Algorithms : Huffman Coding
• Lecture - 9 : Graphs : Background and Breadth First Search
• Lecture - 10 : Depth - First Search
• Lecture - 11 : Topological Sort and Strong Components
• Lecture - 12 : Minimum Spanning Trees and Kruskal’s Algorithm
• Lecture - 13 : Prim’s and Baruvka’s Algorithms for MSTs 
• Lecture - 14 : Dijkstra’s Algorithm for Shortest Paths
• Lecture - 15 : All-Pairs Shortest Paths
• Lecture - 16 : NP-Completeness : Languages and NP
• Lecture - 17 : NP-Completeness : Reductions
• Lecture - 18 : Cook’s Theorem, 3SAT, and Independent Set
• Lecture - 19 : Clique, Vertex Cover, and Dominating Set
• Lecture - 20 : Subset Sum
• Lecture - 21 : Approximation Algorithms : VC and TSP 
• Lecture - 22 : The k-Center Approximation
• Lecture - 23 : Approximations : Set Cover and Bin Packing
• Lecture - 24 : Final Review
• Supplemental Lecture - 1 : Asymptotic s
• Supplemental Lecture - 2 : Max Dominance
• Supplemental Lecture - 3 : Recurrences and Generating Functions
• Supplemental Lecture - 4 : Medians and Selection
• Supplemental Lecture - 5 : Analysis of Bucket Sort
• Supplemental Lecture - 6 : Long Integer Multiplication
• Supplemental Lecture - 7 : Dynamic Programming : 0–1 Knapsack Problem
• Supplemental Lecture - 8 : Dynamic Programming : Memorization
• Supplemental Lecture - 9 : Articulation Points and Bi-connectivity
• Supplemental Lecture - 10 : Bellman-Ford Shortest Paths
• Supplemental Lecture - 11 : Network Flows and Matching
• Supplemental Lecture - 12 : Hamiltonian Path
• Supplemental Lecture - 13 : Subset Sum Approximation

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