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Titlebook: Elements of Structural Optimization; Raphael T. Haftka,Zafer Gürdal Textbook 1992Latest edition Springer Science+Business Media Dordrecht

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Linear Programming,he design variables, constraint functions, and the objective function. However, only two of these categories are of interest to us, namely . and . problems (commonly designated as LP and NLP, respectively).
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Textbook 1992Latest editionimbalance between the enormous amount of literature on the subject, and the paucity of applications to practical design problems. This imbalance is being gradually redressed. There is still no shortage of new publications, but there are also exciting applications of the methods of structural optimiz
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story. Douglas Wilde [1] provides an interesting account of the origin of the word optimum and the definition of an optimal design. We will paraphrase Wilde and offer the definition of an optimal design as being ‘the best feasible design according to a preselected quantitative measure of effectiveness’.
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https://doi.org/10.1007/978-94-011-2550-5Vibration; composite material; concrete; design; dynamics; optimization; prestressed concrete; programming;
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Mangroves as Feeding and Breeding Grounds,han linear. That is, if we double the number of design variables in a problem, the cost of solution will typically more than double. Large problems may also require excessive computer memory allocations. For these reasons we often seek ways of breaking a large optimization problem into a series of smaller problems.
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Decomposition and Multilevel Optimization,han linear. That is, if we double the number of design variables in a problem, the cost of solution will typically more than double. Large problems may also require excessive computer memory allocations. For these reasons we often seek ways of breaking a large optimization problem into a series of smaller problems.
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978-0-7923-1505-6Springer Science+Business Media Dordrecht 1992
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Elements of Structural Optimization978-94-011-2550-5Series ISSN 0925-0042 Series E-ISSN 2214-7764
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