Lattice Gas Methods For Partial Differential Equations (Proceedings Volume in the Santa Fe Institute Studies in the Sciences of Complexity, V. 4.)

Science & Math

Wolfram, Stephen

Doolen, Gary

Frisch, Muriel

Hasslacher, Brosl

Orszag, Steven

Santa Fe Instit

Mathematics

Westview Press

1988 1st Ed Pbk 2nd Print BCDEFGHIJ-DO-898

Mathematica: A System for Doing Mathematics by Computer

Computers & Technology

Programming

Penguin Books Australia Ltd.

Mathematica - A System for Doing Mathematics by Computer

Mathematica - A System for Doing Mathematics by Computer

Longman Higher Education

This authoritative reference guide for Mathematica, Version 2 is designed for convenient reference while users work with the Mathematica program. Mathematicians, scientists, engineers, and programmers using Mathematica will find the reference easy to handle, easy to carry, and packed with essential information.

Mathematica: Reference Guide/for Mathematica Version 2

Computer Science

Addison-Wesley

This book will be released simultaneously with Release 2.0 of Mathematica and will cover all the new features of Release 2.0. This new edition maintains the format of the original book and is the single most important user guide and reference for Mathematica--all users of Mathematica will need this edition. Includes 16 pages of full-color graphics.

Adapted from Stephen Wolfram's definitive work Mathematica: A System for Doing Mathematics by Computer, 2nd Ed., this is the beginning student's ideal road map and guidebook to Mathematica. This adaptation addresses the student's need for more concise and accessible information. Beck has trimmed to book to half its original size, focusing on the functions and topics likely to be encountered by students.

Mathematica: The Student Book

Beck, George

Certification

Cellular Automata And Complexity: Collected Papers

Are mathematical equations the best way to model nature? For many years it had been assumed that they were. But in the early 1980s, Stephen Wolfram made the radical proposal that one should instead build models that are based directly on simple computer programs. Wolfram made a detailed study of a class of such models known as cellular automata, and discovered a remarkable fact: that even when the underlying rules are very simple, the behavior they produce can be highly complex, and can mimic many features of what we see in nature. And based on this result, Wolfram began a program of research to develop what he called ?A Science of Complexity.?The results of Wolfram's work found many applications, from the so-called Wolfram Classification central to fields such as artificial life, to new ideas about cryptography and fluid dynamics. This book is a collection of Wolfram's original papers on cellular automata and complexity. Some of these papers are widely known in the scientific community; others have never been published before. Together, the papers provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science and many other areas.

Politics & Social Sciences

Social Sciences

CRC-Press

Are mathematical equations the best way to model nature? For many years it had been assumed that they were. But in the early 1980s, Stephen Wolfram made the radical proposal that one should instead build models that are based directly on simple computer programs. Wolfram made a detailed study of a class of such models known as cellular automata, and discovered a remarkable fact: that even when the underlying rules are very simple, the behavior they produce can be highly complex, and can mimic many features of what we see in nature. And based on this result, Wolfram began a program of research to develop what he called A Science of Complexity.”The results of Wolfram's work found many applications, from the so-called Wolfram Classification central to fields such as artificial life, to new ideas about cryptography and fluid dynamics. This book is a collection of Wolfram's original papers on cellular automata and complexity. Some of these papers are widely known in the scientific community; others have never been published before. Together, the papers provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science and many other areas.

Basic Books

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