**Solving NP-Complete Problems**

by F. D. Lewis

**Publisher**: University of Kentucky 2013**Number of pages**: 123

**Description**:

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

**Computability and Complexity from a Programming Perspective**

by

**Neil D. Jones**-

**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.

(

**8278**views)

**Think Complexity: Complexity Science and Computational Modeling**

by

**Allen B. Downey**-

**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.

(

**6211**views)

**Introduction to Computational Complexity**

by

**Martin Tompa**

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.

(

**6777**views)

**Complexity Theory: A Modern Approach**

by

**Sanjeev Arora, Boaz Barak**-

**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.

(

**13544**views)