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Business Database Technology provides essential knowledge of database technology for four-year college/university business students who study information technology and data resource management. Students will learn basic data structure techniques in databases, relational database model, design and implementation of relational databases, normalization, SQL, physical relational database design techniques, database administration, relational databases in computer networks, data warehouses, overview of OLAP (online analytical processing), and introduction to NoSQL databases.
This book is an introduction to a comprehensive and unified dynamic transition theory for dissipative systems and to applications of the theory to a range of problems in the nonlinear sciences.
This book introduces a general principle of dynamic transitions for dissipative systems, establishes a systematic dynamic transition theory, and explores the physical implications of applications of the theory to a range of problems in the nonlinear sciences.
In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs).
This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations.
Presents a working knowledge of the major programming languages, including COBOL, C++, Java, and HTML, JavaScript, VB.NET, VBA, ASP.NET, Perl, PHP, XML, SQL, used in the business computing environment. This book examines the concepts shared by these languages and also details the features of each.
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