Announcing Mathematica 7: Parallel Computing - 508 New Features - 12 new Application areas - 1 Highly Integrated System -
Mathematica seamlessly integrates a numeric and symbolic computational engine, graphics system, programming language, documentation system, and advanced connectivity to other applications. It is this range of capabilities--many world-leading in their own right--that makes Mathematica uniquely capable as a \"one-stop shop\" for you or your organization s technical work.
Author: Stephen Wolfram
Publisher: Addison-Wesley, 1994
ISBN: 0201627167 (Hardcover/596 pages)
Before creating Mathematica , Stephen Wolfram was well known in the scientific community for his groundbreaking work in the study of complexity and cellular automata. His work in the early 1980s has been the basis for thousands of papers in the scientific literature as well as for several popular books. This book is a collection of his original papers on cellular automata and complexity, many of which have never been published before.
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Author: Phillip Kent, Philip Ramsden, John Wood
Publisher: (Imperial College Press, 1996)
Publisher: Imperial College Press, 1996
ISBN: 1860940277 (Hardcover/300 pages)
ISBN: 1860940285 (Paperback/300 pages)
Includes diskette
Contains Mathematica -based learning modules on topics traditionally covered in the A-level syllabus of English and Welsh schools. Suitable for freshman level college calculus courses in North America.
The topics covered in the book roughly correspond to those traditionally studied in the English and Welsh mathematics A-level school syllabus. The first year undergraduate with mathematics A-level will find the book most useful for revision. In North American terms, the book is suitable for freshman calculus. An electronic supplement by Phillip Kent is included.
Author: Colin Williams, Scott H. Clearwater
Publisher: TELOS/Springer-Verlag, 1998
ISBN: 038794768X (Hardcover/307 pages)
Includes CD-ROM
Explains the burgeoning developments in quantum computing theory in simple terms and describes the key technological hurdles that must be overcome in order to make quantum computers a reality. Companion CD-ROM contains Mathematica notebook providing simulations and tutorials on the topics covered
CONTENT:
Computer Technology Meets Quantum Reality | The Capabilities of Computing Machinery | Quantum Mechanics and Computers | Simulating a Simple Quantum Computer | The Effects of Imperfections | Breaking Unbreakable Codes | True Randomness | Quantum Cryptography | Quantum Teleportation | Quantum Error Correction | How to Make a Quantum Computer | Appendix [top]
Graphica 1 consists of unique and unusual color illustrations created using Mathematica . The creation of the illustrations was made possible by the use of the symbolic computation capabilities of Mathematica , combined with its numeric andgraphic routines. This unique and beautiful book will be both an inspiration and a reference work for designers, artists, and architects--as well as for people working incomputer graphics, scientific visualization, electronic media design, and mathematics. [top]
Graphica 2 consists of unique and unusual color illustrations created usingMathematica. The creation of the illustrations was made possible by the use of the symbolic computation capabilities of Mathematica , combined with its numeric andgraphic routines. This unique and beautiful book will be both an inspiration and a reference work for designers, artists, and architects--as well as for people working in computer graphics, scientific visualization, electronic media design, and mathematics. [top]
Author: Joseph L. Zachary
Publisher: TELOS/Springer-Verlag, 1998
ISBN: 0387982507 (Hardcover/433 pages)
Includes diskette
Teaches beginning science and engineering students how to solve the computational problems they will encounter during their academic and professional careers. Requires no specific scientific training nor any prior knowledge of Mathematica or C. Written specifically for Mathematica Version 3. Each chapter presents a common problem, develops a mathematical model of the problem, devises a computational method for solving the model, creates an implementation, and assesses the solution. All code is included on diskette and other supporting material is available on the Web.
CONTENT:
Computational Science | Population Density: Computational Properties of Numbers | Eratosthenes: Significant Digits and Interval Arithmetic | Stairway to Heaven: Accumulation of Roundoff Error | Kitty Hawk: Programmer-defined Functions | Baby Boom: Symbolic Computation | Ballistic Trajectories: Scientific Visualization | The Battle for Leyte Gulf: Symbolic Mathematics | Old MacDonald's Cow: Imperative Programming | Introduction to C | Robotic Weightlifting: Straight-Line Programs | Sliding Blocks: Conditionals and Functions | Rod Stacking: Designing with Functions | Newton's Beam: Repetition | Corrugated Sheets: Multiple-File Programs | Harmonic Oscillation: Structures and Abstract Datatypes | Heat Transfer in a Rod: Arrays | Visualizing Heat Transfer: Arrays as Parameters | Appendix A: Mathematica Capabilities | Appendix B: Mathematica Functions and Constants | Appendix C: C Library Functions | Appendix D: Using Mathematica 2.2 [top]
Intended as a text for an introductory level statistics course. Integrates traditional statistical data analysis with new computational simulation and experimental techniques. Explores the concepts of scientific and engineering statistical analysis within the context of the ideas and the methods of chaotic behavior in nonlinear systems. Provides numerous exercises, examples, Mathematica experiments, and real-world data sets.
CONTENT:
Why One Needs to Analyze Data | Data Representation and Compression | Analytic Representation of Random Experimental Data | Algorithmic Complexity and Random Strings | Statistical Independence and Kolmogorov's Probability Theory | Chaos in Dynamical Systems: How Uncertainty Arises in Scientific and Engineering Phenomena | General Principles of Statistical Analysis | Statistical Inference for Normal Populations | Analysis of Variance | Appendices [top]
Author: Robert L. Zimmerman, Fredrick I. Olness
Publisher: Addison-Wesley, 2002
ISBN: 0805387005 (Paperback/645 pages)
This revised and updated book is intended for undergraduates, graduate students, and practicing physicists who want to learn new Mathematica techniques for solving a general class of physics problems. The experimental activities included are designed to deepen and broaden the reader's understanding of physics. The book assumes some familiarity with Mathematica , but the focus is on physics rather than on rudimentary Mathematica techniques.
CONTENT:
Getting Started | General Physics | Oscillating Systems | Nonlinear Oscillating Systems | Discrete Dynamical Systems | Langrangians and Hamiltonians | Orbiting Bodies | Electrostatics | Quantum Mechanics | Relativity and Cosmology | Index [top]
Author: Tom Wickham-Jones
Publisher: TELOS/Springer-Verlag, 1994
ISBN: 0387940472 (Hardcover/713 pages)
Includes DOS diskette
Book/diskette combination that deals solely with Mathematica graphics. Offers step-by-step instruction on how to create computer graphics with Mathematica . Contains a vast range of carefully chosen and organized examples of Mathematica graphics. Also includes 32 pages of full-color demonstrations.
The available electronic supplement provides functions that include the plotting of surfaces and contours over random data sets, labelling of contour lines, plotting contours subject to a constraint, smoothing contours, plotting field lines, a collection of geometric functions in two and three dimensions, as well as the ubiquitous fractal plot. Some of the functions require MathLink binaries, which are available in source code and are compiled for Macintosh (classic) and Windows computers.
Part I: The Built-in Functions
Introduction to Mathematica | A Tour of Plotting | Graphics Options | Interfacing with the Rest of Mathematica | Animating Graphics | The Mathematica Front End Part II: Graphics Programming Mathematica Programming | Two-Dimensional Graphical Primitives | Three-Dimensional Graphical Primitives | Coordinate Systems | Color | Combining and Converting Graphics | Programming Examples Part III: Applications in Visualization and Computer Graphics
The Design of Effective Graphics | Labeling Contour Plots | Two-Dimensional Geometry | Three-Dimensional Geometry | Visualizing Numeric Data | Visualizing Vectors Part IV: A Reference to Graphics in Mathematica
Graphics Reference | Graphics3D Reference | SurfaceGraphics Reference | ContourGraphics Reference | DensityGraphics Reference | GraphicsArray Reference | Rendering and Exporting Graphics Appendices
ExtendGraphics Installation | ExtendGraphics Reference | Loading Mathematica Packages | Bibliography | Index [top]
Two decades in the making, this long-awaited work from one of the world's most respected scientists presents a series of dramatic discoveries never before made public. Starting from a collection of simple computer experiments--illustrated in the book by striking computer graphics--Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
Wolfram uses his approach to tackle a remarkable array of fundamental problems in science: from the origin of the Second Law of Thermodynamics to the development of complexity in biology, the computational limitations of mathematics, the possibility of a truly fundamental theory of physics, and the interplay between free will and determinism.
Written with exceptional clarity and illustrated by more than a thousand original pictures, this seminal book allows scientists and nonscientists alike to participate in what promises to be a major intellectual revolution.
CONTENT:
Preface | The Foundations for a New Kind of Science | The Crucial Experiment | The World of Simple Programs | Systems Based on Numbers | Two Dimensions and Beyond | Starting from Randomness | Mechanisms in Programs and Nature | Implications for Everyday Systems | Fundamental Physics | Processes of Perception and Analysis | The Notion of Computation | The Principle of Computational Equivalence | Notes | Index [top]