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Practical Inverse Analysis in Engineering
This text prsents practical mathematical tools for bridging the gap between real-world measurements and mathematical models. The book demonstrates how to treat "ill-conditioned" inverse analysis problems with the powerful theory of dynamic programming, and it also describes generalized-cross-validation as a useful partner in handling real data. A disk containing DYNAVAL programming software enables the applications of the methods presented.
256 pages, Kindle Edition
First published October 22, 1997
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November 17, 2014
The exposition of dynamic programming by Richard Bellman gave hope those engaged in the analysis of complex systems, but it was said that this hope was diminished by the realization that more problems could be formulated by their technique than could be solved according to Ronald Howard. David Trujillo has made it possible for us to construct more realistic models of physiological processes by explicitly illustrating all details of dynamic programming.
The intent of this book is to provide an analytic structure for a decision-making system that is at the same time both general enough to be descriptive and yet computational feasible. It is based on the Markov process as a system model, and used an iterative technique similar to recurrence formulas as its optimization method.
This book addresses as important area of perceptual theory that will become even more significant in the future--identifying a perceptual system that must be at work that extracts invariant. By combining of external perception (exteroperception) with self coperception (proprioception), in this way, people are able to `tune into' their environment fairly automatically.
The intent of this book is to provide an analytic structure for a decision-making system that is at the same time both general enough to be descriptive and yet computational feasible. It is based on the Markov process as a system model, and used an iterative technique similar to recurrence formulas as its optimization method.
This book addresses as important area of perceptual theory that will become even more significant in the future--identifying a perceptual system that must be at work that extracts invariant. By combining of external perception (exteroperception) with self coperception (proprioception), in this way, people are able to `tune into' their environment fairly automatically.
Displaying 1 of 1 review