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The Most Authoritative Resource on the MySQL Database Available! Reviewed by the MySQL Development Team. Get the most out of the MySQL database server--today's most popular open source database--with help from this definitive guide. Take advantage of MySQL's cross-platform support, independent storage engines, advanced permissions and security system, query caching, full-text indexing and searching, and much more. Reviewed by the MySQL database development team, "MySQL: The Complete Reference explains in full detail how to use this customizable RDMS to support robust, reliable, mission-critical applications.Install, configure, and test a MySQL database on Linux/UNIX or WindowsUse MySQL data types, statements, operators, and functionsManage databases and tables with the Data Definition Language (DDL)Add, delete, and query records using the Data Manipulation Language (DML)Take advantage of transactional supportImplement MySQL's five-tiered access control and privilege systemHandle database optimization, backup, recovery, and replicationCreate applications in C, C++, Perl, Java, PHP, and other languagesVikram Vaswani is the founder and CEO of Melonfire, a company specializing in Web design, development, and content creation for a variety of clients. He has also written extensively on open source technologies, including MySQL, Perl, Python, and PHP.

Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela, University of Jyvaskyla, Finland P. Neittaanmaki, University of Jyvaskyla, Finland J. Periaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems.

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