New Perspectives on Microsoft Office Word 2007, Comprehensive
Author: S Scott Zimmerman
Following the critical thinking, problem-solving approach of the New Perspectives Series learners will gain a comprehensive understanding of Microsoft Word 2007, including the new features of the software. The case-based tutorials challenge learners to apply what they are learning to real-life tasks, preparing them to easily transfer skills to new situations. With the New Perspectives Series approach, learners understand why they're learning what they're learning, and are better situated to retain skills.
Book about: Photoshop Elements 5 or The Incredible Hulk Official Strategy Guide
The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation
Author: Gary William Flak
Honorable Mention, 1998, category of Computer Science, Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc.
In this book Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing "agents" (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as "beautiful" and "interesting." From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation.
Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.
Table of Contents:
Preface | ||
1 | Introduction | 1 |
I | Computation | 9 |
2 | Number Systems and Infinity | 11 |
3 | Computability and Incomputability | 23 |
4 | Postscript: Computation | 51 |
II | Fractals | 59 |
5 | Self-Similarity and Fractal Geometry | 61 |
6 | L-Systems and Fractal Growth | 77 |
7 | Affine Transformation Fractals | 93 |
8 | The Mandelbrot Set and Julia Sets | 111 |
9 | Postscript: Fractals | 129 |
III | Chaos | 137 |
10 | Nonlinear Dynamics in Simple Maps | 139 |
11 | Strange Attractors | 159 |
12 | Producer-Consumer Dynamics | 181 |
13 | Controlling Chaos | 203 |
14 | Postscript: Chaos | 221 |
IV | Complex Systems | 229 |
15 | Cellular Automata | 231 |
16 | Autonomous Agents and Self-Organization | 261 |
17 | Competition and Cooperation | 281 |
18 | Natural and Analog Computation | 307 |
19 | Postscript: Complex Systems | 327 |
V | Adaptation | 337 |
20 | Genetics and Evolution | 339 |
21 | Classifier Systems | 361 |
22 | Neural Networks and Learning | 383 |
23 | Postscript: Adaptation | 415 |
Epilogue | 425 | |
24 | Duality and Dichotomy | 427 |
Source Code Notes | 435 | |
Glossary | 443 | |
Bibliography | 469 | |
Index | 483 |
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