Think Complexity

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Название:Think Complexity

Автор: Allen B. Downey

Год:2012

SBN: 1449314635

Издательство:ORM

Формат: pdf

Страниц: 158

Язык: английский

Размер: 8,83 мб

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.

You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables

Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines

Get starter code and solutions to help you re-implement and extend original experiments in complexity

Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics

Examine case studies of complex systems submitted by students and readers

Table of Contents

Chapter 1. Complexity Science

Chapter 2. Graphs

Chapter 3. Analysis of Algorithms

Chapter 4. Small World Graphs

Chapter 5. Scale-Free Networks

Chapter 6. Cellular Automata

Chapter 7. Game of Life

Chapter 8. Fractals

Chapter 9. Self-Organized Criticality

Chapter 10. Agent-Based Models

Chapter 11. Case Study: Sugarscape

Chapter 12. Case Study: Ant Trails

Chapter 13. Case Study: Directed Graphs and Knots

Chapter 14. Case Study: The Volunteer’s Dilemma