Logo

Think Complexity: Complexity Science and Computational Modeling

Large book cover: Think Complexity: Complexity Science and Computational Modeling

Think Complexity: Complexity Science and Computational Modeling
by

Publisher: Green Tea Press
ISBN/ASIN: 1449314635
Number of pages: 146

Description:
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. The 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.

Home page url

Download or read it online for free here:
Download link
(1.2MB, PDF)

Similar books

Book cover: Lecture Notes on Computational ComplexityLecture Notes on Computational Complexity
by
Notes from a graduate courses on Computational Complexity. The first 15 lectures cover fundamentals, the remaining is advanced material: Hastad's optimal inapproximability results, lower bounds for parity in bounded depth-circuits, and more.
(9962 views)
Book cover: Introduction to Complexity TheoryIntroduction to Complexity Theory
by
Complexity theory is the study of the intrinsic complexity of computational tasks. The book is aimed at exposing the students to the basic results and research directions in the field. The focus was on concepts, complex technical proofs were avoided.
(5418 views)
Book cover: Complexity TheoryComplexity Theory
by
This set of notes gives the broad picture of modern complexity theory, defines the basic complexity classes, gives some examples of each complexity class and proves the most standard relations. The author emphasizes the ideas involved in the proofs.
(10707 views)
Book cover: Computability and Complexity from a Programming PerspectiveComputability and Complexity from a Programming Perspective
by - The MIT Press
The author builds a bridge between computability and complexity theory and other areas of computer science. Jones uses concepts familiar from programming languages to make computability and complexity more accessible to computer scientists.
(6452 views)