Mixed-integer programming formulation of a data-driven solver in computational elasticity

This paper presents a mixed-integer quadratic programming formulation of an existing data-driven approach to computational elasticity. This formulation is suitable for application of a standard mixed-integer programming solver, which finds a global optimal solution. Therefore, the results obtained b...

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Vydané v:	Optimization letters Ročník 13; číslo 7; s. 1505 - 1514
Hlavný autor:	Kanno, Yoshihiro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2019
Predmet:	Computational Intelligence Mathematics Mathematics and Statistics Numerical and Computational Physics Operations Research/Decision Theory Optimization Original Paper Simulation Model-free computational mechanics Global optimization Data-driven computing Mixed-integer programming Exact solution method
ISSN:	1862-4472, 1862-4480
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