A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Decomposition and Multilevel Optimization
Abstract The resources required for the solution of an optimization problem typically increase with the dimensionality of the problem at a rate which is more than 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.
Decomposition and Multilevel Optimization
Abstract The resources required for the solution of an optimization problem typically increase with the dimensionality of the problem at a rate which is more than 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.
Decomposition and Multilevel Optimization
Haftka, Raphael T. (author) / Gürdal, Zafer (author) / Kamat, Manohar P. (author)
Second revised edition
1990-01-01
22 pages
Article/Chapter (Book)
Electronic Resource
English
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