3 edition of Discrete mathematics for computer scientists found in the catalog.
Discrete mathematics for computer scientists
Includes bibliographical references (p. 477-478) and index.
|Statement||Clifford Stein, Robert L. Drysdale, Kenneth Bogart|
|Contributions||Drysdale, Robert L., 1951-, Bogart, Kenneth P.|
|LC Classifications||QA76.9.M35 B64 2011|
|The Physical Object|
|Pagination||xxviii, 495 p. :|
|Number of Pages||495|
|LC Control Number||2010003760|
Facts is your complete guide to Discrete Mathematics for Computer Scientists. In this book, you will learn topics such as Reflections on Logic and Proof, Induction, Recursion, and Recurrences, Probability, and Graphs plus much more. With key Author: CTI Reviews. In addition, they appear in algorithms analysis and in the bulk of discrete mathematics taught to computer scientists. This book is devoted to the background of these methods. It explains how to use relational and graph-theoretic methods systematically in computer science.
Books shelved as discrete-math: Concrete Mathematics: A Foundation for Computer Science by Ronald L. Graham, Discrete Mathematics with Applications by Su. This is the revised edition of . It is intended for use in a first course in discrete mathematics in an undergraduate computer science and mathematics curriculum. The length of the book is just right for the topics. The physical form and writing style of the book are significant. The text is illustrated with many figures and tables.
The aim of this book is to present some the basic mathematics that is needed by computer scientists. The reader is not expected to be a mathematician and we hope will find what follows useful. Just a word of warning. Unless you are one of the irritating minority mathematics is hard. You cannot just read a mathematics book like a novel/5(). Written exclusively with computer science students in mind, Discrete Mathematics for Computer Science provides a comprehensive treatment of standard course topics for the introductory discrete mathematics course with a strong emphasis on the relationship between the concepts and their application to computer science. The book has been crafted to enhance teaching and learning ease Author: David Liben-Nowell.
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He is also the co-author of two textbooks: Discrete Math for Computer Science with Scot Drysdale and Introduction to Algorithms, with T.
Cormen, C. Leiserson and R. Rivest—the best-selling textbook in algorithms, which has been translated into 8 by: 7. I think this book can be completely self-studied by first time learners in discrete mathematics but certainly some expert help will be required while reading this book.
With fair amount of thinking on one's part this book will make a solid base to build upon. This book does not cover the topic of algebraic structures like groups, rings, fields/5(17).
Discrete Mathematics for Computer Scientists (2nd Edition) Only 1 left in stock - order soon. This is a new edition of a successful introduction to discrete mathematics for computer scientists, updated and reorganised to be more appropriate for the modern day undergraduate audience/5(5).
Discrete Mathematics for Computer Scientists book. Read reviews from world’s largest community for readers. This is a new edition of a successful introdu /5. This easy-to-understand and fun-to-read textbook is ideal for an introductory discrete mathematics course for computer science students at the beginning of their studies.
The book assumes no prior mathematical knowledge, and discusses concepts in programming as needed, allowing it to be used in a mathematics course taken concurrently with a student’s first programming by: 1. Discrete Mathematics for Computer Scientists and Mathematicians by Joe L.
Mott, Abraham Kandel is suitable for an introductory course in discrete mathematics in an undergraduate computer science and mathematics curriculum.
It introduces the reader to logical and algebraic structures, combinatorial mathematics/5. A Short Course in Discrete Mathematics. This book consists of six units of study: Boolean Functions and Discrete mathematics for computer scientists book Arithmetic, Logic, Number Theory and Cryptography, Sets and Functions, Equivalence and Order, Induction, Sequences and Series.
Each of this is divided into two sections. Each section contains a representative selection of problems. Discrete Math for Computer Science Students Ken Bogart Dept. of Mathematics Dartmouth College Scot Drysdale Dept. of Computer Science Dartmouth College Cliﬀ Stein Dept.
ofIndustrialEngineering and Operations Research Columbia University. ii c Kenneth. Discrete mathematics uses a range of techniques, some of which is sel-dom found in its continuous counterpart. This course will roughly cover the following topics and speci c applications in computer science.
functions and relations techniques and induction theory a)The math behind the RSA Crypto system. Of these, Prof Truss' "Discrete Mathematics for Computer Scientists" is among the best. The definitions are accurate and the structure of the book is highly intuitive.
This book has proved to be an extremely useful resource for me over the last two years, covering graph theory, ring theory, logic, computability and more/5(6).
Discrete Mathematics for Computer Science Some Notes Jean Gallier Abstract: These are notes on discrete mathematics for computer scientists. The presen-tation is somewhat unconventional. Indeed I begin with a discussion of the basic rules of mathematical reasoning and of the notion of proof formalized in a natural deduction system “a la File Size: 1MB.
Stein/Drysdale/Bogart's "Discrete Mathematics for Computer Scientists" is ideal for computer science students taking the discrete math n specifically for computer science students, this unique textbook directly addresses their needs by providing a foundation in discrete math while using motivating, relevant CS applications/5.
Discrete Mathematics Lecture Notes, Yale University, Spring If you want to become a mathematician, computer scientist, or engineer, this investment is necessary. But if your goal is to develop a feeling for what mathematics is all about, The aim of this book is not to cover “discrete mathematics” in depth (it should be clearFile Size: KB.
This is a great maths book for first year Computer Science undergraduates. It assembles in a single text most of the basic mathematical tools required in the study of Computer Science, ranging from sets and relations, to combinatorics and probabilities, to trees and logic.
A very good textbook for discrete mathematics at an undergraduate level is the Kenneth Rosen book titled Discrete Mathematics and Its Applications.
The book provides solutions to half of the problems. You can also buy the Student's Solutions Guide.I don't own it, but I would suspect that it either provides the answers to the other half of the questions or provides a step-by-step guide to.
texts All Books All Texts latest This Just In Smithsonian Libraries FEDLINK (US) Genealogy Lincoln Collection. National Emergency Library. Top Discrete mathematics for computer scientists Item Preview remove-circle Share or Embed This Item.
EMBED EMBED (for Pages: Whereas learning about such concepts as logic circuits and laptop addition, algorithm analysis, recursive contemplating, computability, automata, cryptography, and combinatorics, school college students uncover that the ideas of discrete arithmetic underlie and are necessary to the science and technology of the laptop age.
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting.
In many computer science departments, discrete mathematics is one of the ﬁrst courses taken by majors. It may even be a prerequisite to the ﬁrst computer science course. In this case instructors are faced with a dilemma— teach the concepts purely mathematically with little or no visible application to computer science, or teach computer File Size: 3MB.
Discrete mathematics • Discrete mathematics – study of mathematical structures and objects that are fundamentally discrete rather than continuous. • Examples of objectswith discrete values are – integers, graphs, or statements in logic.
• Discrete mathematics and computer science. – Concepts from discrete mathematics are useful for. For analysis of algorithms, THE book is Concrete Mathematics: A Foundation for Computer Science (2nd Edition): Ronald L.
Graham, Donald E. Knuth, Oren Patashnik: : Books Some aspects of Discrete mathematics are covered her.There is a book “ Discrete Mathematics And Its Applications” written by Kenneth This book is enough for a computer science student.math or computer science.
For these students the current text hopefully is still of interest, but the intent is not to provide a solid mathematical foundation for computer science, unlike the majority of textbooks on the subject.
Another diﬀerence between this text and most other discrete mathFile Size: 1MB.