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Showing posts with label Algorithms. Show all posts
Showing posts with label Algorithms. Show all posts

Free Download - Algorithms and Complexity : By Herbert S. Wilf


Title      :  Algorithms and Complexity
Author  :  Herbert S. Wilf,
               University of Pennsylvania,
               Philadelphia.

BOOK Length : 139 pages
BOOK File Format : PDF
BOOK Language : English


BOOK Description :

Table of Content :

  • Chapter - 1 : Mathematical Preliminaries
1.1 : Orders of magnitude
1.2 : Positional number systems
1.3 : Manipulations with series
1.4 : Recurrence relations
1.5 : Counting
1.6 : Graphs
  • Chapter - 2 : Recursive Algorithms
2.1 : Introduction
2.2 : Quick sort
2.3 : Recursive graph algorithms
2.4 : Fast matrix multiplication
2.5 : The discrete Fourier transform
2.6 : Applications of the FFT
2.7 : Review
  • Chapter - 3 : The Network Flow Problem
3.1 : Introduction
3.2 : Algorithms for the network flow problem
3.3 : The algorithm of Ford and Fulkerson
3.4 : The max-flow min-cut theorem
3.5 : The complexity of the Ford-Fulkerson algorithm
3.6 : Layered networks
3.7 : The MPM Algorithm
3.8 : Applications of network flow
  • Chapter - 4 : Algorithms in the Theory of Numbers
4.1 : Preliminaries
4.2 : The greatest common divisor
4.3 : The extended Euclidean algorithm
4.4 : Primality testing
4.5 : Interlude: the ring of integers modulo n
4.6 : Pseudo primality tests
4.7 : Proof of goodness of the strong pseudo primality test
4.8 : Factoring and cryptography
4.9 : Factoring large integers
4.10 : Proving primality
  • Chapter - 5: NP-completeness
5.1 : Introduction
5.2 : Turing machines
5.3 : Cook's theorem
5.4 : Some other NP-complete problems
5.5 : Half a loaf .
5.6 : Backtracking(I): independent sets
5.7 : Backtracking (II): graph coloring
5.8 : Approximate algorithms for hard problems

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Free Download - Design and Analysis of Algorithms – Course Notes : By Samir Khuller.


Title      :  Design and Analysis of Algorithms – Course Notes
Author  :  Samir Khuller,
               Department of Computer Science,
               University of Maryland.

BOOK Length : 160 pages
BOOK File Format : PDF
BOOK Language : English


BOOK Description : 

Table of Content :
  • Chapter - 1 : Overview of course
  • Chapter - 2 : Splay Trees
  • Chapter - 3 : Amortized Time for Splay Trees
  • Chapter - 4 : Maintaining Disjoint sets
  • Chapter - 5 : Binomial heaps
  • Chapter - 6 : F-heap
  • Chapter - 7 : Minimum spanning Trees
  • Chapter - 8 : Fredman-tarjan MST algorithm
  • Chapter - 9 : Branching problem
  • Chapter - 10 : Light approximate shortest path trees
  • Chapter - 11 : Matchings
  • Chapter - 12 : Hopcroft-Karp Matching Algorithm
  • Chapter - 13 : Two Processor Scheduling
  • Chapter - 14 : Assignment Problem
  • Chapter - 15 : Network Flow - Maximum Flow Problem
  • Chapter - 16 : The Max flow Problem
  • Chapter - 17 : An Max-Flow Algorithm
  • Chapter - 18 : Vertex covers and network flow
  • Chapter - 19 : Planner Graphs
  • Chapter - 20 : Planner Graphs
  • Chapter - 21 : Graph coloring
  • Chapter - 22 : Graph Minor Theorem and other CS collectibles
  • Chapter - 23 : The Min Cost Flow problem
  • Chapter - 24 : Shortest path based algorithm for Min Cost Flows
  • Chapter - 25 : NP - completeness
  • Chapter - 26 : NP - completeness
  • Chapter - 27 : NP - completeness
  • Chapter - 28 : More on NP - completeness
  • Chapter - 29 : Satisfiability
  • Chapter - 30 : Linear Programming
  • Chapter - 31 : Vertex cover
  • Chapter - 32 : Weighted vertex cover
  • Chapter - 33 : Approximation algorithm  for the vertex cover problem
  • Chapter - 34 : Nemhauser-Trotter theorem
  • Chapter - 35 : Approximation algorithms : sets cover
  • Chapter - 36 : Approximation algorithms : sets cover and max coverage
  • Chapter - 37 : Approximation algorithms : K centers
  • Chapter - 38 : Bin Packing
  • Chapter - 39 : Multi-cost Minimum spanning trees
  • Chapter - 40 : Sets and vertex Cover Approximations : Randomized algorithms
  • Chapter - 41 : Steiner tree problem
  • Chapter - 42 : Traveling Salesperson and Chinese Postman Problem
  • Chapter - 43 : Vehicle Routing Problems : Stacker Crane
  • Chapter - 44 : Vehicle routing Problems : capacity bounded vehicles
  • Chapter - 45 : Unit capacity Problem (1-delivery TSP)
  • Chapter - 46 : K-capacity problem
  • Chapter - 47 : Unbounded capacity problem
  • Chapter - 48 : Lower bounds on approximations
  • Chapter - 49 : Lower bounds on approximations
  • Chapter - 50 : Linear Programming : The use of Duality
  • Chapter - 51 : Using duality to analyze (and design) approximation algorithms
  • Chapter - 52 : A general approximation technique for constrained forest pro
  • Chapter - 53 : On Line vs. Off Line : A measure for Quality Evaluation

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    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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      Free Download - DESIGN & ANALYSIS OF ALGORITHM : By AICTE Staff


      Title     :  Design & Analysis of Algorithm
      Author :  AICTE Staff Development Program,
                          At Thapar University, Patiala.

      BOOK Length : 329 pages
      BOOK File Format : PDF
      BOOK Language : English


      BOOK Description :

      Table of content :
      • History & Background
      • Algorithm Basics
      • Computational Problems
      • Formal Definitions
      • Algorithm Characteristics
      • Memory Issue
      • Empirical Study
      • Micro Analysis
      • Macro Analysis
      • Types of Input
      • Asymptotic Analysis
      • Primitive Data Structures
      • Array
      • Stack
      • Queue
      • Tree
      • Common Sub-expression Elimination
      • Dead Code Elimination
      • Lazy Computations
      • Euclid Algorithm
      • Sorting
      • Divide and Conquer
      • Master Theorem
      • Integer Multiplication
      • Recursion
      • Greedy Programming
      • Activity Selection
      • Knapsack Problem
      • Minimum Spanning Tree
      • Graphs
      • Hashing
      • Collision
      • Separate Chaining
      • Linear Probing
      • Quadratic Probing
      • Branch and Bound
      • Floyd Warshall Algorithm
      • Knapsack Problem
      • Brute force Algorithm
      • KMP Algorithm
      • P class Problem
      • NP class Problem
      • Decision Problem
      • COOK Theorem

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        Free Download - Introduction to Design and Analysis of Algorithms : By Anany Levitin, Second Edition.


        Author : Anany Levitin
        Edition : SECOND EDITION
        Publisher : Addison Wesley

        ISBN - 10 Number : 0-32-135828-7
        ISBN - 13 Number : 978-0321358288

        BOOK Length : 590 pages
        BOOK File Format : PDF
        BOOK Language : English


        BOOK Description :

        Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, "Introduction to the Design and Analysis of Algorithms" presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual. For those interested in learning more about algorithms.


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        Free Download - Fundamental of Algorithms : By Gilles Brassard & Paul Bratley


        Author : Gilles Brassard and
                     Paul Bratley
        Edition : First Edition
        Publisher : Prentice Hall

        ISBN - 10 Number : 0-13-335068-1
        ISBN - 13 Number : 978-0133350685

        BOOK Length : 381 pages
        BOOK File Format : PDF
        BOOK Language : English


        BOOK Description :

        This is an introductory-level algorithm book. It includes worked-out examples and detailed proofs. Presents Algorithms by type rather than application. 

        KEY TOPICS : 
        Includes structured material by techniques employed, not by the application area, so readers can progress from the underlying abstract concepts to the concrete application essentials. It begins with a compact, but complete introduction to some necessary math. And it approaches the analysis and design of algorithms by type rather than by application.

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        Free Download - Introduction to Algorithms : By Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest & Clifford Stein, Third Edition.


        Author : Thomas H. Cormen,
                     Charles E. Leiserson,
                     Ronald L. Rivest and
                     Clifford Stein
        Edition : THIRD EDITION
        Publisher : The MIT Press

        ISBN - 10 Number : 0-26-203293-7
        ISBN - 13 Number : 978-0262032933

        BOOK Length : 984 pages
        BOOK File Format : CHM (Compiled HTML)
        BOOK Language : English


        BOOK Description :

        Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudo code designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multi threaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.


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        • Click below to free download Solution Manual of Introduction to Algorithms :
          SOLUTION MANUAL    or     SOLUTION MANUAL


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