MARC details
| 000 -LEADER |
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| fixed length control field |
03638nam a2200349 4500 |
| 001 - CONTROL NUMBER |
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| control field |
OTLid0000289 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MnU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20201105133314.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
m o d s |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180907s2012 mnu o 0 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781449314637 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MnU |
| Language of cataloging |
eng |
| Transcribing agency |
MnU |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Downey, Allen B. |
| Relator term |
author |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Think Complexity |
| Remainder of title |
Exploring Complexity Science with Python |
| Statement of responsibility, etc. |
Allen Downey |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
Open Textbook Library |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
Green Tea Press |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Open textbook library. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface -- 1 Complexity Science -- 2 Graphs -- 3 Analysis of algorithms -- 4 Small world graphs -- 5 Scale-free networks -- 6 Cellular Automata -- 7 Game of Life -- 8 Fractals -- 9 Self-organized criticality -- 10 Agent-based models -- 11 Case study: Sugarscape -- 12 Case study: Ant trails -- 13 Case study: Directed graphs and knots -- 14 Case study: The Volunteer's Dilemma |
| 520 0# - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science: Data structures and algorithms: A data structure is a collection that contains data elements organized in a way that supports particular operations. For example, a dictionary organizes key-value pairs in a way that provides fast mapping from keys to values, but mapping from values to keys is generally slower. An algorithm is a mechanical process for performing a computation. Designing efficient programs often involves the co-evolution of data structures and the algorithms that use them. For example, the first few chapters are about graphs, a data structure that is a good implementation of a graph---nested dictionaries---and several graph algorithms that use this data structure. Python programming: This book picks up where Think Python leaves off. I assume that you have read that book or have equivalent knowledge of Python. As always, I will try to emphasize fundmental ideas that apply to programming in many languages, but along the way you will learn some useful features that are specific to Python. Computational modeling: A model is a simplified description of a system that is useful for simulation or analysis. Computational models are designed to take advantage of cheap, fast computation. Philosophy of science: The models and results in this book raise a number of questions relevant to the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, holism and reductionism, and Bayesian epistemology. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. They are often characterized by structure, rules and transitions rather than by equations. They tend to be more abstract than continuous models; in some cases there is no direct correspondence between the model and a physical system. Complexity science is an interdisciplinary field---at the intersection of mathematics, computer science and physics---that focuses on these kinds of models. That's what this book is about. |
| 542 1# - INFORMATION RELATING TO COPYRIGHT STATUS |
|---|
| Copyright statement |
Attribution-NonCommercial-ShareAlike |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
In English. |
| 588 0# - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on online resource |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer Science |
| Form subdivision |
Textbooks |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Open Textbook Library |
| Relator term |
distributor |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://open.umn.edu/opentextbooks/textbooks/289">https://open.umn.edu/opentextbooks/textbooks/289</a> |
| Public note |
Access online version |
