Solving NP-Complete Problems

Small book cover: Solving NP-Complete Problems

Solving NP-Complete Problems

Publisher: University of Kentucky
Number of pages: 123

This is an on-line textbook on heuristic algorithms. From the table of contents: Classes of Problems; Integer Programming; Enumeration Techniques; Dynamic Programming; Approximate Solutions; Local Optimization; Natural Models.

This document is no more available for free.

Similar books

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.
Book cover: Think Complexity: Complexity Science and Computational ModelingThink Complexity: Complexity Science and Computational Modeling
by - Green Tea Press
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.
Book cover: Introduction to Computational ComplexityIntroduction to Computational Complexity
Lecture notes for a graduate course on computational complexity taught at the University of Washington. Alternating Turing machines are introduced very early, and deterministic and nondeterministic Turing machines treated as special cases.
Book cover: Complexity Theory: A Modern ApproachComplexity Theory: A Modern Approach
by - Cambridge University Press
The book provides an introduction to basic complexity classes, lower bounds on resources required to solve tasks on concrete models such as decision trees or circuits, derandomization and pseudorandomness, proof complexity, quantum computing, etc.