Overview
- Authors:
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Theodore V. Hromadka
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Department of Mathematics, Fullerton, USA
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Chung-Cheng Yen
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Williamson and Schmid, Irvine, USA
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George F. Pinder
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Department of Civil Engineering, Princeton University, Princeton, USA
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Table of contents (7 chapters)
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Front Matter
Pages N2-XIII
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 1-17
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 18-41
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 42-49
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 50-56
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 57-80
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 81-114
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- Theodore V. Hromadka II, Chung-Cheng Yen, George F. Pinder
Pages 115-161
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Back Matter
Pages 162-171
About this book
The most commonly used numerical techniques in solving engineering and mathematical models are the Finite Element, Finite Difference, and Boundary Element Methods. As computer capabilities continue to impro':e in speed, memory size and access speed, and lower costs, the use of more accurate but computationally expensive numerical techniques will become attractive to the practicing engineer. This book presents an introduction to a new approximation method based on a generalized Fourier series expansion of a linear operator equation. Because many engineering problems such as the multi dimensional Laplace and Poisson equations, the diffusion equation, and many integral equations are linear operator equations, this new approximation technique will be of interest to practicing engineers. Because a generalized Fourier series is used to develop the approxi mator, a "best approximation" is achieved in the "least-squares" sense; hence the name, the Best Approximation Method. This book guides the reader through several mathematics topics which are pertinent to the development of the theory employed by the Best Approximation Method. Working spaces such as metric spaces and Banach spaces are explained in readable terms. Integration theory in the Lebesque sense is covered carefully. Because the generalized Fourier series utilizes Lebesque integration concepts, the integra tion theory is covered through the topic of converging sequences of functions with respect to measure, in the mean (Lp), almost uniformly IV and almost everywhere. Generalized Fourier theory and linear operator theory are treated in Chapters 3 and 4.
Authors and Affiliations
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Department of Mathematics, Fullerton, USA
Theodore V. Hromadka
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Williamson and Schmid, Irvine, USA
Chung-Cheng Yen
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Department of Civil Engineering, Princeton University, Princeton, USA
George F. Pinder
