Practical Inverse Analysis in Engineering
Author - David M. Trujillo
TRUCOMP, Fountain Valley, California
Henry R. Busby
Department of Mechanical Engineering, The Ohio State University
Description | Features |
Contents | Audience | Publication Information and Price
Powerful tools for formulating and solving inverse problems
A Volume in the Mechanical Engineering Series
Series Editor Frank Kulacki
Improve your models by transforming mathematical ideas into practical computer programs
Continuing advances in computer technology have made it possible for engineers and scientists to construct increasingly realistic models of physical processes. Practical Inverse Analysis in Engineering addresses an important area of engineering th
at will become even more significant to engineers and scientists -- combining measurements with engineering models. This self-contained text presents applied mathematical tools for bridging the gap between real-world measurements and mathematical models.
The book demonstrates how to treat "ill-conditioned" inverse analysis problems - those problems where the solution is extremely sensitive to the data -- with the powerful theory of dynamic programming. A second theory, generalized-cross-validation, is als
o discussed as a useful partner in handling real data. The material in the book, much of it published for the first time, presents theories in a general unified setting, so readers can apply the information to their models. A disk containing DYNAVAL progr
amming software lets readers try the methods presented in the text.
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- Presents practical mathematical tools for bridging the gap
between real-world measurements and mathematical models
- Covers "ill-conditioned" problems in inverse analysis
- Examines the theories of dynamic programming and
generalized-cross-validation
- Incorporates practical examples
- Includes DYNAVAL programming software
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- Upper-level and graduate students in engineering and mathematics
- Practicing engineers
- Research scientists
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- Dynamic Programming System
- Introduction
- The Simplest Exchange
- Bellman's Principle of Optimality
- First-Order Dynamic System
- General Multidimensional System
- Optimal Control as a Multistage Decision Process
- Matrices and Differential Equations
- Introduction
- Vector-Matrix Calculus
- The Exponential Matrix
- Approximations to the Exponential Matrix
- Eigenvalue Reduction
- The General Inverse Problem
- Introduction
- Generalized Cross Validation
- Dynamic Programming and Generalized Cross Validation
- Chandrasekhar Equations
- The Inverse Heat Conduction Problem
- Introduction
- One-Dimensional Example
- Two-Dimensional Example
- Eigenvalue Reduction Technique
- L-Curve Analysis
- The Inverse Structural Dynamics Problem
- Introduction
- Single-Degree-of-Freedom
- Cantilever Beam Problem
- Two-Dimensional Plate Problem
- Smoothing and Differentiating Noisy Data
- Introduction
- Polynomial Approximation
- Filtering a 60 Hz Signal
- Frequency Analysis
- Two-Dimensional Smoothing
- Nonlinear Systems
- Introduction
- Linearization Methods
- Nonlinear Inverse Heat Conduction
- Nonlinear Spring Example
- Successive Approximation in Policy Space
- Sequential Estimation and System Identification
- Introduction
- Sequential Estimation
- Multidimensional Sequential Estimation
- Extended Levenberg-Marquardt's Method
- Bibliography
- Appendix A. DYNAVAL:
A Computer Program for the Solution of the General Inverse Problem Using Dynamic Programming and Generalized Cross-Validation
- Index
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Catalog number 9659
July 1997, 256 pp., 6x9, ISBN: 0-8493-9659-X
U.S. $119.95
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