This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
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Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning ...
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Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this book ...
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The autonomic communication paradigm has been defined mainly through the Autonomic Communications Forum (ACF) and particularly ...
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The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present ...
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Autonomy Oriented Computing explores the important theoretical and practical issues in AOC, by analyzing methodologies and ...
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This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance ...
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These proceedingsrecordthe papers presented at the Seventh InternationalC- ference of B Users (B 2007), held in the city ...
WeiterlesenExpands on Building Information Modeling, showing its applicability to a range of design-oriented projects. It emphasizes ...
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This book constitutes the thoroughly refereed post-conference proceedings of the Second IFIP TC 2 Central and East Conference ...
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The discrete numerical methods of aerodynamics/aerothermodynamics permit now - what was twenty years ago not imaginable - ...
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The contents of this book builds further on the contents of the first volume in the Philips Research Book Series, Battery ...
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R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
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Learning to design objects effectively with Java is the goal of Beginning Java Objects: From Concepts to Code, Second Edition. ...
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Beginning Object-Oriented Programming with VB 2005 is a comprehensive resource of correct coding procedures. Author Daniel ...
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This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
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