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Discrete Algorithmic Mathematics


Discrete Algorithmic Mathematics
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Discrete Algorithmic Mathematics Third Edition


Discrete Algorithmic Mathematics Third Edition
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Author : Stephen B. Maurer
language : en
Publisher: CRC Press
Release Date : 2005-01-21

Discrete Algorithmic Mathematics Third Edition written by Stephen B. Maurer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-21 with Mathematics categories.


Thoroughly revised for a one-semester course, this well-known and highly regarded book is an outstanding text for undergraduate discrete mathematics. It has been updated with new or extended discussions of order notation, generating functions, chaos, aspects of statistics, and computational biology. Written in a lively, clear style that talks to the reader, the book is unique for its emphasis on algorithmics and the inductive and recursive paradigms as central mathematical themes. It includes a broad variety of applications, not just to mathematics and computer science, but to natural and social science as well. A manual of selected solutions is available for sale to students; see sidebar. A complete solution manual is available free to instructors who have adopted the book as a required text.



Selected Solutions For Discrete Algorithmic Mathematics


Selected Solutions For Discrete Algorithmic Mathematics
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Author : Stephen B. Maurer
language : en
Publisher:
Release Date : 1992

Selected Solutions For Discrete Algorithmic Mathematics written by Stephen B. Maurer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computer science categories.




Discrete Algorithmic Mathematics Second Edition


Discrete Algorithmic Mathematics Second Edition
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Author : Stephen B. Maurer
language : en
Publisher: A K Peters/CRC Press
Release Date : 1998

Discrete Algorithmic Mathematics Second Edition written by Stephen B. Maurer and has been published by A K Peters/CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.


What is discrete algorithmic mathematics. Mathematical preliminaries. Algorithms. Mathematical induction. Graphs and trees. Fundamental counting methods. Difference equations. Probability. An introduction to mathematical logic. Algorithmic linear algebra. Infinite processes in discrete mathematics. Sorting things out with sorting.



Complete Solutions For Discrete Algorithmic Mathematics


Complete Solutions For Discrete Algorithmic Mathematics
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Author : Stephen B. Maurer
language : en
Publisher:
Release Date : 1999

Complete Solutions For Discrete Algorithmic Mathematics written by Stephen B. Maurer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.




Complete Solutions For Discrete Algorithmic Mathematics


Complete Solutions For Discrete Algorithmic Mathematics
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Author : Stephen B. Maurer
language : en
Publisher:
Release Date : 1992

Complete Solutions For Discrete Algorithmic Mathematics written by Stephen B. Maurer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computer science categories.




Discrete Mathematics With Algorithms


Discrete Mathematics With Algorithms
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Author : Michael O. Albertson
language : en
Publisher:
Release Date : 1988-08-05

Discrete Mathematics With Algorithms written by Michael O. Albertson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-08-05 with Mathematics categories.


This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in English, in a format compatible with the Pascal programming language. Contains many exercises, with answers at the back of the book (detailed solutions being supplied for difficult problems).



Fundamentals Of Discrete Math For Computer Science


Fundamentals Of Discrete Math For Computer Science
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Author : Tom Jenkyns
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-28

Fundamentals Of Discrete Math For Computer Science written by Tom Jenkyns and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-28 with Computers categories.


This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.



Discrete Mathematics For Computer Science


Discrete Mathematics For Computer Science
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Author : Jon Pierre Fortney
language : en
Publisher: CRC Press
Release Date : 2020-12-23

Discrete Mathematics For Computer Science written by Jon Pierre Fortney and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-23 with Mathematics categories.


Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics course for computer science majors. It covers many important mathematical topics essential for future computer science majors, such as algorithms, number representations, logic, set theory, Boolean algebra, functions, combinatorics, algorithmic complexity, graphs, and trees. Features Designed to be especially useful for courses at the community-college level Ideal as a first- or second-year textbook for computer science majors, or as a general introduction to discrete mathematics Written to be accessible to those with a limited mathematics background, and to aid with the transition to abstract thinking Filled with over 200 worked examples, boxed for easy reference, and over 200 practice problems with answers Contains approximately 40 simple algorithms to aid students in becoming proficient with algorithm control structures and pseudocode Includes an appendix on basic circuit design which provides a real-world motivational example for computer science majors by drawing on multiple topics covered in the book to design a circuit that adds two eight-digit binary numbers Jon Pierre Fortney graduated from the University of Pennsylvania in 1996 with a BA in Mathematics and Actuarial Science and a BSE in Chemical Engineering. Prior to returning to graduate school, he worked as both an environmental engineer and as an actuarial analyst. He graduated from Arizona State University in 2008 with a PhD in Mathematics, specializing in Geometric Mechanics. Since 2012, he has worked at Zayed University in Dubai. This is his second mathematics textbook.



A Logical Approach To Discrete Math


A Logical Approach To Discrete Math
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Author : David Gries
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

A Logical Approach To Discrete Math written by David Gries and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.


This text attempts to change the way we teach logic to beginning students. Instead of teaching logic as a subject in isolation, we regard it as a basic tool and show how to use it. We strive to give students a skill in the propo sitional and predicate calculi and then to exercise that skill thoroughly in applications that arise in computer science and discrete mathematics. We are not logicians, but programming methodologists, and this text reflects that perspective. We are among the first generation of scientists who are more interested in using logic than in studying it. With this text, we hope to empower further generations of computer scientists and math ematicians to become serious users of logic. Logic is the glue Logic is the glue that binds together methods of reasoning, in all domains. The traditional proof methods -for example, proof by assumption, con tradiction, mutual implication, and induction- have their basis in formal logic. Thus, whether proofs are to be presented formally or informally, a study of logic can provide understanding.



Probabilistic Methods For Algorithmic Discrete Mathematics


Probabilistic Methods For Algorithmic Discrete Mathematics
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Author : Michel Habib
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-08-19

Probabilistic Methods For Algorithmic Discrete Mathematics written by Michel Habib and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-19 with Computers categories.


The book gives an accessible account of modern pro- babilistic methods for analyzing combinatorial structures and algorithms. Each topic is approached in a didactic manner but the most recent developments are linked to the basic ma- terial. Extensive lists of references and a detailed index will make this a useful guide for graduate students and researchers. Special features included: - a simple treatment of Talagrand inequalities and their applications - an overview and many carefully worked out examples of the probabilistic analysis of combinatorial algorithms - a discussion of the "exact simulation" algorithm (in the context of Markov Chain Monte Carlo Methods) - a general method for finding asymptotically optimal or near optimal graph colouring, showing how the probabilistic method may be fine-tuned to explit the structure of the underlying graph - a succinct treatment of randomized algorithms and derandomization techniques