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This book details research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving... Læs mere
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This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed... Læs mere
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This new textbook will prepare readers to continue to develop analytical and numerical skills, through the study of a variety of mathematical techniques. The statistical element of this textbook enhances the readers’ ability to organize and interpret data.
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It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.Alan King is a Research Staff Member at IBM's Thomas J.
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The book discusses nature-inspired algorithms, deep learning methods, applications of... Læs mere
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This book comprehensively discusses nature-inspired algorithms, deep learning... Læs mere
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A hands-on Python-based guide to mathematical optimization for undergraduates and graduates in applied mathematics, industrial engineering and operations... Læs mere
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Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are comprehensively reviewed.
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Currently, the techniques of operation research are widely used in every aspect of day-to-day life. This book discusses a variety of problems that... Læs mere