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A Course in Discrete Structures. A Short Course in Discrete Mathematics.
Introductory Discrete Mathematics by V.K. Balakrishnan | Waterstones
A Spiral Workbook for Discrete Mathematics. An Introduction to Combinatorics and Graph Theory. Applied Combinatorics. Applied Discrete Structures, Version 3.
Discrete Math for Computer Science Students. Discrete Mathematics.
Discrete Mathematics, Second Edition. Foundations of Combinatorics with Applications. Foundations of Computation, Second Edition. Foundations of Computer Science: C Edition.
[P.D.F D0WNL0AD] Introductory Discrete Mathematics (Dover Books on Computer Science) [[P.D.F]
Lecture Notes in Discrete Mathematics. Toggle navigation FreeTechBooks. Discrete Mathematics The study of mathematical structures that are fundamentally discrete, in the sense of not supporting or requiring the notion of continuity. All categories Follow Books under this sub-category 20 books. A Short Course in Discrete Mathematics Post date : 23 Aug The first part of the two series of book, used to teach discrete mathematics that includes Boolean arithmetic, combinatorics, elementary logic, induction, graph theory and finite probability in the University of California, San Diego.
Best Discrete Mathematics books for mathematics education, and computer science majors
Publisher : Dover Publications Publication date : 01 Dec A Spiral Workbook for Discrete Mathematics Post date : 19 Oct Covers the standard topics in a sophomore-level course in discrete mathematics: logic, sets, proof techniques, basic number theory, functions, relations, and elementary combinatorics, with an emphasis on motivation.
Applied Combinatorics Post date : 28 Apr This textbook covers the fundamental enumeration techniques permutations, combinations, subsets, pigeon hole principle , recursion and mathematical induction, more advanced enumeration techniques, discrete structures, and discrete optimization. Discrete Math for Computer Science Students Post date : 25 Jun This text teaches all the math, with the exception of linear algebra, that is needed to succeed in computer science. 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 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. A very brief nontechnical exposition of the theory of computational complexity and NP-completeness is outlined in the appendix. Introductory Graph Theory. Set Theory and Logic.
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A Short Course in Discrete Mathematics. Combinatorial Optimization: Algorithms and Complexity. Computability and Unsolvability. Introduction to Graph Theory. Boolean Algebra and Its Applications.