Ebook: Inverse Analyses with Model Reduction: Proper Orthogonal Decomposition in Structural Mechanics
Author: Vladimir Buljak (auth.)
- Tags: Appl.Mathematics/Computational Methods of Engineering, Computational Science and Engineering, Simulation and Modeling, Structural Mechanics
- Series: Computational Fluid and Solid Mechanics
- Year: 2012
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses. It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.
Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.
In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses.
It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.
Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.
In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses.
It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.
Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.
Content:
Front Matter....Pages i-xiv
Inverse Analysis: Introduction....Pages 1-18
Optimization Algorithms....Pages 19-83
Proper Orthogonal Decomposition and Radial Basis Functions for Fast Simulations....Pages 85-139
Inverse Analyses in Structural Problems: Putting All the Pieces Together....Pages 141-184
Modern Approach to Inverse Analyses....Pages 185-201
Back Matter....Pages 203-204
In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses.
It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.
Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.
Content:
Front Matter....Pages i-xiv
Inverse Analysis: Introduction....Pages 1-18
Optimization Algorithms....Pages 19-83
Proper Orthogonal Decomposition and Radial Basis Functions for Fast Simulations....Pages 85-139
Inverse Analyses in Structural Problems: Putting All the Pieces Together....Pages 141-184
Modern Approach to Inverse Analyses....Pages 185-201
Back Matter....Pages 203-204
....