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