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Introductory Computer Mathematics Im Sup

Introductory Computer Mathematics Im Sup PDF Author: Cook
Publisher:
ISBN: 9780130452801
Category :
Languages : en
Pages : 16

Book Description


Introductory Computer Mathematics Im Sup

Introductory Computer Mathematics Im Sup PDF Author: Cook
Publisher:
ISBN: 9780130452801
Category :
Languages : en
Pages : 16

Book Description


Introductory Computer Mathematics

Introductory Computer Mathematics PDF Author: Nigel P. Cook
Publisher:
ISBN: 9780130452894
Category : Computer science
Languages : en
Pages : 0

Book Description
Best-selling author Nigel Cook's new second edition of Introductory Computers Mathematics provides a complete math course for those learning computer technology. Employing an “integrated math applications” approach, this book reinforces all math topics with extensive applications to show readers the value of math as a tool. Specific chapters in the section on Basic Math discuss fractions; decimal numbers; positive and negative numbers; exponents and the metric system; algebra, equations and formulas; geometry and trigonometry; and logarithms and graphs. Computer Math topics cover analog to digital, number systems and codes, logic gates, Boolean expressions and algebra, binary arithmetic, and an introduction to computers and programming. For individuals preparing for a career in computer technology.

Introductory Computer Mathematics

Introductory Computer Mathematics PDF Author: Nigel Cook
Publisher: Prentice Hall
ISBN: 9780130165466
Category :
Languages : en
Pages :

Book Description


Mathematics for Computer Science

Mathematics for Computer Science PDF Author: Eric Lehman
Publisher:
ISBN: 9789888407064
Category : Business & Economics
Languages : en
Pages : 988

Book Description
This book 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 principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Electronics Computer Math Im Sup

Electronics Computer Math Im Sup PDF Author: Deem
Publisher:
ISBN: 9780130911285
Category :
Languages : en
Pages : 400

Book Description


Concise Computer Mathematics

Concise Computer Mathematics PDF Author: Ovidiu Bagdasar
Publisher: Springer Science & Business Media
ISBN: 3319017519
Category : Computers
Languages : en
Pages : 115

Book Description
Adapted from a modular undergraduate course on computational mathematics, Concise Computer Mathematics delivers an easily accessible, self-contained introduction to the basic notions of mathematics necessary for a computer science degree. The text reflects the need to quickly introduce students from a variety of educational backgrounds to a number of essential mathematical concepts. The material is divided into four units: discrete mathematics (sets, relations, functions), logic (Boolean types, truth tables, proofs), linear algebra (vectors, matrices and graphics), and special topics (graph theory, number theory, basic elements of calculus). The chapters contain a brief theoretical presentation of the topic, followed by a selection of problems (which are direct applications of the theory) and additional supplementary problems (which may require a bit more work). Each chapter ends with answers or worked solutions for all of the problems.

Mathematical Computing

Mathematical Computing PDF Author: David Betounes
Publisher: Springer Science & Business Media
ISBN: 1461300673
Category : Computers
Languages : en
Pages : 419

Book Description
This book teaches introductory computer programming using Maple, offering more mathematically oriented exercises and problems than those found in traditional programming courses, while reinforcing and applying concepts and techniques of calculus. Includes case studies.

Special Topics in Mathematics for Computer Scientists

Special Topics in Mathematics for Computer Scientists PDF Author: Ernst-Erich Doberkat
Publisher: Springer
ISBN: 3319227505
Category : Mathematics
Languages : en
Pages : 735

Book Description
This textbook addresses the mathematical description of sets, categories, topologies and measures, as part of the basis for advanced areas in theoretical computer science like semantics, programming languages, probabilistic process algebras, modal and dynamic logics and Markov transition systems. Using motivations, rigorous definitions, proofs and various examples, the author systematically introduces the Axiom of Choice, explains Banach-Mazur games and the Axiom of Determinacy, discusses the basic constructions of sets and the interplay of coalgebras and Kripke models for modal logics with an emphasis on Kleisli categories, monads and probabilistic systems. The text further shows various ways of defining topologies, building on selected topics like uniform spaces, Gödel’s Completeness Theorem and topological systems. Finally, measurability, general integration, Borel sets and measures on Polish spaces, as well as the coalgebraic side of Markov transition kernels along with applications to probabilistic interpretations of modal logics are presented. Special emphasis is given to the integration of (co-)algebraic and measure-theoretic structures, a fairly new and exciting field, which is demonstrated through the interpretation of game logics. Readers familiar with basic mathematical structures like groups, Boolean algebras and elementary calculus including mathematical induction will discover a wealth of useful research tools. Throughout the book, exercises offer additional information, and case studies give examples of how the techniques can be applied in diverse areas of theoretical computer science and logics. References to the relevant mathematical literature enable the reader to find the original works and classical treatises, while the bibliographic notes at the end of each chapter provide further insights and discussions of alternative approaches.

Introduction To Computational Mathematics (2nd Edition)

Introduction To Computational Mathematics (2nd Edition) PDF Author: Xin-she Yang
Publisher: World Scientific Publishing Company
ISBN: 9814635804
Category : Mathematics
Languages : en
Pages : 342

Book Description
This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

An Introduction to Modern Mathematical Computing

An Introduction to Modern Mathematical Computing PDF Author: Jonathan M. Borwein
Publisher: Springer Science & Business Media
ISBN: 1461442532
Category : Mathematics
Languages : en
Pages : 237

Book Description
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Mathematica and other similar tools are worth knowing, assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an "experimental mathematician" while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation.