This book presented theoretical methods to achieve correct software or hardware systems, including both functional and non ...
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This book constitutes the refereed proceedings of the 18th International Symposium on Automated Technology for Verification ...
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The Automated Technology for Veri?cation and Analysis (ATVA) international symposium series was initiated in 2003, The main ...
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It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing ...
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This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
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This book constitutes the refereed procedings of the 5th International Conference on Autonomic and Trusted Computing, ATC ...
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These proceedingsrecordthe papers presented at the Seventh InternationalC- ference of B Users (B 2007), held in the city ...
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The aim of this dissertation is to examine bargaining power effects in financial contracting. In particular power effects ...
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Covers the construction of larger-scale buildings (primarily residential, commercial and industrial) constructed with load ...
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Based mainly on domestic and residential buildings—and filled with extensive illustrations throughout—this concise text ...
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Presents specific aspects of how fracture mechanics is used to address fatigue crack growth, environment assisted cracking, ...
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Basic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts ...
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Medical researchers including doctors, nurses, medical students and allied health professionals are required to undertake ...
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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 ...
Continue readingThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
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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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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
Continue readingIt is not enough for a business to have the best data if those using it don't understand the right questions to ask or how ...
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