
Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications
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An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and
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Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes.
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Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence
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LET THE DICE DECIDE.The rules are down to you. The rules that stop you seducing your neighbour downstairs, that stop you hitting your boss, that stop you leaving your family and leaving the country. The rules that stop you living.The dice don’t do rules; the dice do life.Luke Rhinehart is a
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The ‘bible’ for dice living – for everyone who has been inspired by the cult classic THE DICE MAN.From the author of the cult bestsellers THE DICE MAN and SEARCH FOR THE DICE MAN comes a new book, guaranteed to appeal to the hundreds of thousands of people who continue to be fascinated by the
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The sequel to the cult classic The Dice Man, available in e-book format for the first time.The rules are down to you. The rules that stop you seducing your neighbour downstairs, that stop you hitting your boss, that stop you leaving your family and leaving the country. The rules that stop you
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A systematic introduction to the theories and formulations of the explicit finite element method As numerical technology continues to grow and evolve with industrial applications, understanding the explicit finite element method has become increasingly important, particularly in the areas of
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NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerful new resource Nonlinear Filters: Theory and Applications delivers an insightful view on state and parameter estimation by merging
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Clear, integrated coverage of all aspects of nonlinear optics—phenomena, materials, and devices Coauthored by George Stegeman, one of the most highly respected pioneers of nonlinear optics—with contributions on applications from Robert Stegeman—this book covers nonlinear optics from a combined
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