23 edition of Computer science with Mathematica found in the catalog.
Includes bibliographical references (p. 345-349) and index.
|Statement||Roman E. Maeder.|
|LC Classifications||QA76.95 .M34 2000|
|The Physical Object|
|Pagination||xx, 389 p. :|
|Number of Pages||389|
|ISBN 10||0521631726, 0521663954|
|LC Control Number||99038932|
Sedgewick and Flajolet’s Analytic Combinatorics (link: Analytic Combinatorics) covers the analysis of combinatorial structures at a fairly mathematical level. Understanding the underlying theory of machine learning (computational learning theory). By analogy, in Mathematics, we believe a scientist, engineer or mathematician must be able to read and understand mathematical codes (e.g., Maple, Mathematica) in their head without having to execute the problem.” ― Inna K. Shingareva, Maple and Mathematica: A Problem Solving Approach for Mathematics.
Get a hands-on introduction to Mathematica with examples and exercises for interactive learning.» Wolfram Demonstrations Project. Choose from thousands of fully functional, interactive Demonstrations and their full source code on subjects ranging from math and science to geography and music.» Mathematica and Wolfram Language Books. Applied Mathematics» Calculus and Analysis» Chemistry» Computer Science» Courseware» Differential Equations» Discrete Mathematics» Earth Sciences» Economics and Finance» Engineering» Geometry» Graphics» Life Sciences» Modeling and Simulation» Number Theory» Physics» Probability and Statistics» Programming.
Get this from a library! Computer science with Mathematica: theory and practice for science, mathematics, and engineering. [Roman Maeder] -- "This book shows how computer-aided mathematics has reached a level where it can support effectively many of the computations in science and engineering." "A valuable text for introductory courses in. The Mathematica GuideBook series provides a comprehensive, step-by-step development of the Mathematica programming, graphics, numerics, and symbolics capabilities to solve contemporary, real-world problem. The series contains an enormous collection of examples and worked exercises, thousands of references, a fully hyperlinked index. Each volume comes with a DVD-ROM of all .
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Besides treating traditional computer science topics, he demonstrates how scientists and engineers can use these computer-based tools to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book will also prove useful to Mathematica users at all by: 6.
Besides treating traditional computer science topics, he demonstrates how scientists and engineers can use these computer-based tools to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book will also prove useful to Mathematica users at all : $ 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. This book demonstrates that Mathematica is a powerful tool in the study of algorithms, allowing the behavior of each algorithm to be studied separately.
Examples from mathematics, all types of science, and engineering are included, as well as computer science topics. Computer science with Mathematica book This book is also useful for Mathematica users at all levels.
Contents. Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and by: Computing with Mathematica, Second Edition is engaging and interactive.
It is designed to teach readers how to use Mathematica efficiently for solving problems arising in fields such as mathematics, computer science, physics, and engineering. The text moves from simple to complex, often following a specific example on a number of different levels.
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(). The Relationship between Mathematics and Computer Science.
Mathematics is abstract in nature. Most concepts of maths are taught through abstract language. On the other hand, one of the things that are covered in computer science is the study of programming languages.
Most of these languages are also abstract in nature. Large collection of Mathematica and Wolfram Language-based books and references written by leading experts. Search by topic or language. Wolfram Science Technology-enabling science of the computational universe. Computer Science. In the interest of completeness, Wellin's An Introduction to Programming in Mathematica is also worth mentioning here (nice section on front-end programming and provides example of a complete DSL implementation in Mma) in addition to Maeder's Computer Science with Mathematica (especially helpful for those trying to use Mma in a OOP style.
Computer science is the study of computation and information. Computer science deals with theory of computation, algorithms, computational problems and the design of computer systems hardware, software and applications. Computer science addresses both human-made and natural information processes, such as communication, control, perception, learning and intelligence especially in human.
The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra.
( views) An Architecture for Combinator Graph Reduction by Philip J. Koopman, Jr. - Academic Press. Mathematics The goal of computational mathematics, put simply, is to ﬁnd or develop algo-rithms that solve mathematical problems computationally (ie.
using comput-ers). In particular, we desire that any algorithm we develop fulﬁlls four primary properties: • Accuracy. An accurate algorithm is able to return a. This book is for Computer Science and Engineering undergraduate students which is simple to comprehend and is especially written in the format these students would enjoy reading and benefit from learning the foundation concepts of Software Engineering.
For a more advanced treatment, we suggest Mathematics for Computer Science, the book-length lecture notes for the MIT course of the same name. That course’s video lectures are also freely available, and are our recommended video lectures for discrete math.
Buy Computer Science with MATHEMATICA ®: Theory and Practice for Science, Mathematics, and Engineering by Maeder, Roman E. (ISBN: ) from Amazon's Book Store.
Everyday low prices and free delivery on eligible orders. Avi Wigderson Mathematics and Computation Draft: Ma Acknowledgments In this book I tried to present some of the knowledge and understanding I acquired in my four decades in the eld.
The main source of this knowledge was the Theory of Computation commu-nity, which has been my academic and social home throughout this period. - Buy DISCRETE MATHEMATICAL STRUCTURES WITH APPLICATIONS TO COMPUTER SCIENCE book online at best prices in India on Read DISCRETE MATHEMATICAL STRUCTURES WITH APPLICATIONS TO COMPUTER SCIENCE book reviews & author details and more at Free delivery on qualified s: Starting from first principles, this example-driven text contains material from disciplines as varied as linguistics, bioinformatics, geometry, computer science, and many more.
About the Author Paul Wellin worked for Wolfram Research from the mids through directing the Mathematica® training efforts with the Wolfram Education Group/5(14). This text for the first or second year undergraduate in mathematics, logic, computer science, or social sciences, introduces the reader to logic, proofs, sets, and number theory.
It also serves as an excellent independent study reference and resource for instructors.5/5(1). The book serves as an outstanding tool and a main information source for a large public in applied mathematics, discrete mathematics and computer science, including researchers, teachers, graduate students and engineers.
It provides an overview of the current questions in computer science and the related modern and powerful mathematical methods.Mathematics for Computer Science. revised Monday th.
May,Eric Lehman. Google Inc. F Thomson Leighton. Department of Mathematics and the Computer Science and AI Laboratory, Massachussetts Institute of Technology; Akamai Technologies. Albert R Meyer.
Department of Electrical Engineering and Computer Science.1 Mathematics for Computer Science revised May 9,minutes Prof. Albert R Meyer Massachusets Institute of Technology Creative CommonsProf.
Albert R. Meyer.