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Synthesizing topics in mathematical programming with soft computing and proper orthogonal decomposition, this monograph shows with consistency the methods to use and the problems that need tackling in structural analyses. Examples and exercises are included.
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. In the last chapter, examples and exercises 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. In the last chapter, examples and exercises make reader practically familiar with discussed topics.