**Planning Algorithms**

by Steven M. LaValle

**Publisher**: Cambridge University Press 2006**ISBN/ASIN**: B003UT48GK**Number of pages**: 842

**Description**:

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.

Download or read it online for free here:

**Download link**

(13.2MB, PDF)

## Similar books

**Algorithmic Mathematics**

by

**Leonard Soicher, Franco Vivaldi**

This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.

(

**11947**views)

**Open Data Structures: An Introduction**

by

**Pat Morin**-

**AU Press**

Offered as an introduction to the field of data structures and algorithms, the book covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs.

(

**9139**views)

**Problems on Algorithms, 2nd edition**

by

**Ian Parberry, William Gasarch**-

**Prentice Hall**

A collection of problems on the design, analysis, and verification of algorithms for practicing programmers who wish to hone and expand their skills, as a supplementary text for students, and as a self-study text for graduate students.

(

**11154**views)

**Algorithms for Clustering Data**

by

**Anil K. Jain, Richard C. Dubes**-

**Prentice Hall**

The book is useful for scientists who gather data and seek tools for analyzing and interpreting data. It will be a reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.

(

**12433**views)