|Listed in category:
This listing sold on Mon, 11 Aug at 12:29 AM.
Intro Discrete Mathematics by VK Balakrishnan | Computer Science Textbook PB LN
Sold
Intro Discrete Mathematics by VK Balakrishnan | Computer Science Textbook PB LN
US $13.99US $13.99
Aug 12, 00:29Aug 12, 00:29
Have one to sell?

Intro Discrete Mathematics by VK Balakrishnan | Computer Science Textbook PB LN

US $13.99
ApproximatelyRM 58.93
Condition:
Like New
Appears to be New & Unread. See pics to evaluate.
    Shipping:
    Free USPS Media MailTM.
    Located in: Warrenton, Oregon, United States
    Delivery:
    Estimated between Wed, 20 Aug and Fri, 22 Aug to 94104
    Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the shipping service selected, the seller's shipping history, and other factors. Delivery times may vary, especially during peak periods.
    Returns:
    60 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
    Coverage:
    Read item description or contact seller for details. See all detailsSee all details on coverage
    (Not eligible for eBay purchase protection programmes)
    Seller assumes all responsibility for this listing.
    eBay item number:306390272097

    Item specifics

    Condition
    Like New
    A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
    Seller Notes
    “Appears to be New & Unread. See pics to evaluate.”
    Educational Level
    Adult & Further Education
    Personalized
    No
    MPN
    Does not apply
    Level
    Intermediate, Advanced, Technical
    Features
    1st Edition
    Country/Region of Manufacture
    United States
    ISBN
    9780486691152

    About this product

    Product Identifiers

    Publisher
    Dover Publications, Incorporated
    ISBN-10
    0486691152
    ISBN-13
    9780486691152
    eBay Product ID (ePID)
    961798

    Product Key Features

    Number of Pages
    256 Pages
    Language
    English
    Publication Name
    Introductory Discrete Mathematics
    Publication Year
    2010
    Subject
    Programming / Algorithms, Reference, Computer Science, Discrete Mathematics
    Type
    Textbook
    Author
    V. K. Balakrishnan
    Subject Area
    Mathematics, Computers
    Series
    Dover Books on Computer Science Ser.
    Format
    Trade Paperback

    Dimensions

    Item Height
    0.5 in
    Item Weight
    13.2 Oz
    Item Length
    9.2 in
    Item Width
    6.5 in

    Additional Product Features

    Intended Audience
    College Audience
    LCCN
    95-052384
    Dewey Edition
    20
    Illustrated
    Yes
    Dewey Decimal
    511
    Table Of Content
    Preface 0 Set Theory and Logic 0.1 Introduction to Set Theory 0.2 Functions and Relations 0.3 Inductive Proofs and Recursive Definitions 0.4 The Language of Logic 0.5 Notes and References 0.6 Exercises 1 Combinatorics 1.1 Two Basic Counting Rules 1.2 Permutations 1.3 Combinations 1.4 More on Permutations and Combinations 1.5 The Pigeonhole Principle 1.6 The Inclusion-Exclusion Principle 1.7 Summary of Results in Combinatorics 1.8 Notes and References 1.9 Exercises 2 Generating Functions 2.1 Introduction 2.2 Ordinary Generating Functions 2.3 Exponential Generating Functions 2.4 Notes and References 2.5 Exercises 3 Recurrence Relations 3.1 Introduction 3.2 Homogeneous Recurrence Relations 3.3 Inhomogeneous Recurrence Relations 3.4 Recurrence Relations and Generating Functions 3.5 Analysis of Alogorithms 3.6 Notes and References 3.7 Exercises 4 Graphs and Digraphs 4.1 Introduction 4.2 Adjacency Matrices and Incidence Matrices 4.3 Joining in Graphs 4.4 Reaching in Digraphs 4.5 Testing Connectedness 4.6 Strong Orientation of Graphs 4.7 Notes and References 4.8 Exercises 5 More on Graphs and Digraphs 5.1 Eulerian Paths and Eulerian Circuits 5.2 Coding and de Bruijn Digraphs 5.3 Hamiltonian Paths and Hamiltonian Cycles 5.4 Applications of Hamiltonian Cycles 5.5 Vertex Coloring and Planarity of Graphs 5.6 Notes and References 5.7 Exercises 6 Trees and Their Applications 6.1 Definitions and Properties 6.2 Spanning Trees 6.3 Binary Trees 6.4 Notes and References 6.5 Exercises 7 Spanning Tree Problems 7.1 More on Spanning Trees 7.2 Kruskal's Greedy Algorithm 7.3 Prim's Greedy Algorithm 7.4 Comparison of the Two Algorithms 7.5 Notes and References 7.6 Exercises 8 Shortest Path Problems 8.1 Introduction 8.2 Dijkstra's Algorithm 8.3 Floyd-Warshall Algorithm 8.4 Comparison of the Two Algorithms 8.5 Notes and References 8.6 Exercises Appendix What is NP-Completeness? A.1 Problems and Their Instances A.2 The Size of an Instance A.3 Algorithm to Solve a Problem A.4 Complexity of an Algorithm A.5 "The "Big Oh" or the O(·) Notation" A.6 Easy Problems and Difficult Problems A.7 The Class P and the Class NP A.8 Polynomial Transformations and NP-Completeness A.9 Coping with Hard Problems Bibliography Answers to Selected Exercises Index
    Edition Description
    Reprint,New Edition
    Synopsis
    Concise, undergraduate-level text focuses on combinatorics, graph theory with applications to some standard network optimization problems, and algorithms to solve these problems. Applications are emphasized and more than 200 exercises help students test their grasp of the material. Appendix. Bibliography. Answers to Selected Exercises., This concise, undergraduate-level text focuses on combinatorics, graph theory with applications to some standard network optimization problems, and algorithms. More than 200 exercises, many with complete solutions. 1991 edition., This concise, undergraduate-level text focuses on combinatorics, graph theory with applications to some standard network optimization problems, and algorithms. Geared toward mathematics and computer science majors, it emphasizes applications, offering more than 200 exercises to help students test their grasp of the material and providing answers to selected exercises. 1991 edition., This concise text offers an introduction to discrete mathematics for undergraduate students in computer science and mathematics. Mathematics educators consider it vital that their students be exposed to a course in discrete methods that introduces them to combinatorial mathematics and to algebraic and logical structures focusing on the interplay between computer science and mathematics. The present volume emphasizes combinatorics, graph theory with applications to some stand network optimization problems, and algorithms to solve these problems. Chapters 03 cover fundamental operations involving sets and the principle of mathematical induction, and standard combinatorial topics: basic counting principles, permutations, combinations, the inclusion-exclusion principle, generating functions, recurrence relations, and an introduction to the analysis of algorithms. Applications are emphasized wherever possible and more than 200 exercises at the ends of these chapters help students test their grasp of the material. Chapters 4 and 5 survey graphs and digraphs, including their connectedness properties, applications of graph coloring, and more, with stress on applications to coding and other related problems. Two important problems in network optimization the minimal spanning tree problem and the shortest distance problem are covered in the last two chapters. A very brief nontechnical exposition of the theory of computational complexity and NP-completeness is outlined in the appendix., This concise text offers an introduction to discrete mathematics for undergraduate students in computer science and mathematics. Mathematics educators consider it vital that their students be exposed to a course in discrete methods that introduces them to combinatorial mathematics and to algebraic and logical structures focusing on the interplay between computer science and mathematics. The present volume emphasizes combinatorics, graph theory with applications to some stand network optimization problems, and algorithms to solve these problems. Chapters 0-3 cover fundamental operations involving sets and the principle of mathematical induction, and standard combinatorial topics: basic counting principles, permutations, combinations, the inclusion-exclusion principle, generating functions, recurrence relations, and an introduction to the analysis of algorithms. Applications are emphasized wherever possible and more than 200 exercises at the ends of these chapters help students test their grasp of the material. Chapters 4 and 5 survey graphs and digraphs, including their connectedness properties, applications of graph coloring, and more, with stress on applications to coding and other related problems. Two important problems in network optimization the minimal spanning tree problem and the shortest distance problem are covered in the last two chapters. A very brief nontechnical exposition of the theory of computational complexity and NP-completeness is outlined in the appendix.
    LC Classification Number
    QA39.2.B35

    Item description from the seller

    About this seller

    Northwest Coast Discoveries

    100% positive feedback2.0K items sold

    Joined May 2002
    Small family business located on the Northwest Oregon coast by Astoria . We sell a bit of everything....

    Detailed Seller Ratings

    Average for the last 12 months
    Accurate description
    5.0
    Reasonable shipping cost
    4.9
    Shipping speed
    5.0
    Communication
    5.0

    Seller feedback (638)

    All ratings
    Positive
    Neutral
    Negative