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