Handbook of Knowledge Representation
by Frank van Harmelen, Vladimir Lifschitz, Bruce Porter
Publisher: Elsevier Science 2008
Number of pages: 1035
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.
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by Victor Eijkhout - University of Texas
A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.
by Ilkka Kokkarinen - Ryerson University
The book is an introduction to Wolfram Mathematica written in computer science spirit, using this language not just for mathematics and equation solving but for all sorts of computer science examples and problems from the standard CS101 exercises...
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- Educational Testing Service
This book contains one actual, full-length GRE Computer Science Test and test-taking strategies. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on diagrams, graphs, and program fragments.