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Discrete Algorithmic Mathematics

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ISBN-10: 0201155850

ISBN-13: 9780201155853

Edition: 1991

Authors: Stephen B. Maurer, A. Ralston

List price: $79.00
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Description:

Well-known and highly regarded. Discrete Algorithmic Mathematics is an outstanding text for a half- or full-year course in discrete mathematics. Written in a clear and lively style, the book's emphasis is on themes and ideas, making it more coherent and extensive than other discrete mathematics textbooks.
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Book details

List price: $79.00
Copyright year: 1991
Publisher: Addison-Wesley Longman, Incorporated
Binding: Cloth Text 
Pages: 720
Size: 8.00" wide x 9.50" long x 1.50" tall
Weight: 3.278
Language: English

List of Algorithms
Instructor's Prefacep. ix
Student's Prefacep. xiv
Chapter Summariesp. xvii
Pathways Through the Bookp. xx
Problem Difficulty Ratingp. xxii
Symbols, Notation, Abbreviations and Conventionsp. xxiii
Prologue: What Is Discrete Algorithmic Mathematics?p. 1
Mathematical Preliminariesp. 9
Sets, Relations, and Functionsp. 9
Some Important Functionsp. 20
Growth Rates and Order Notationp. 30
Summation and Product Notationp. 40
Matrix Algebrap. 50
The Language and Methods of Reasoningp. 56
Supplementary Problemsp. 69
Algorithmsp. 73
Some Examples of Algorithmsp. 73
Aspects of ALp. 88
Recursive Algorithmsp. 94
Algorithmic Language: Procedures and Functionsp. 105
The Analysis of Algorithmsp. 117
Supplementary Problemsp. 131
Mathematical Inductionp. 135
Introductionp. 135
First Examplesp. 137
Strong Induction and Other Variantsp. 151
Induction and Recursive Algorithmsp. 158
Induction and Iterative Algorithmsp. 168
How to Conjecture What to Provep. 180
Inductive Definitionsp. 194
Faulty Inductionsp. 201
Supplementary Problemsp. 210
Graphs and Treesp. 217
Examples and Terminologyp. 217
Paths, Cycles and the Adjacency Matrixp. 236
Eulerian and Hamiltonian Paths and Cyclesp. 250
Shortest Pathsp. 266
Breadth First Search and Depth First Searchp. 278
Coloring Problemsp. 285
Treesp. 296
Supplementary Problemsp. 311
Fundamental Counting Methodsp. 321
Introductionp. 321
First Examples: The Sum and Product Rulesp. 322
Subtler Examples and Further Rulesp. 329
Permutations and Combinationsp. 341
Combinatorial Identities and Combinatorial Argumentsp. 348
The Binomial Theoremp. 355
Four Common Problems with Balls and Urnsp. 365
Generating Functionsp. 375
Combinatorial Algorithmsp. 385
Algorithmic Pigeonholesp. 399
Supplementary Problemsp. 406
Difference Equationsp. 411
Introductionp. 411
Modeling with Difference Equationsp. 413
Getting Information from Difference Equationsp. 426
Terminology and a Fundamental Theoremp. 433
Constant Coefficient Homogeneous Linear Difference Equationsp. 439
Qualitative Analysisp. 451
Nonhomogeneous Difference Equationsp. 457
Applications to Algorithmsp. 462
Variable Coefficients, Sums, and Recent Advances in Computer Algebrap. 479
Nonlinear Difference Equationsp. 484
Finite Differencesp. 495
Supplementary Problemsp. 508
Probabilityp. 513
Introductionp. 513
Probability Spacep. 517
Conditional Probability, Independence, and Bayes' Theoremp. 527
Random Variables and Distributionsp. 539
Expected Valuep. 557
Variancep. 569
Statistical Estimationp. 577
Applications to Algorithms: Proofs of Prior Claimsp. 586
Recursive Methods in Probabilityp. 595
Supplementary Problemsp. 606
An Introduction to Mathematical Logicp. 611
Introduction and Terminologyp. 611
The Propositional Calculusp. 616
Validity and Tautologyp. 630
Algorithm Verificationp. 637
Boolean Algebrap. 643
The Predicate Calculusp. 663
Algorithm Verification Using the Predicate Calculusp. 676
Theorems and Proofsp. 682
Supplementary Problemsp. 689
Epilogue: Coming Full Circle with Biology and Minimax Theoremsp. 691
DNA Matchingp. 691
Algorithmic Mathematics and Minimax Theoremsp. 707
Final Problemsp. 717
Referencesp. 723
Limitsp. 729
Hints and Answersp. 733
Indexp. 761
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