Results 231 to 240 of about 715,075 (267)

Stochastic Discrete Optimization

SIAM Journal on Control and Optimization, 1992
Summary: A stochastic search method is proposed for finding a global solution to the stochastic discrete optimization problem in which the objective function must be estimated by Monte Carlo simulation. Although there are many practical problems of this type in the fields of manufacturing engineering, operations research, and management science, there ...
Yan, Di, Mukai, H.
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Discrete optimization

Computational Mathematics and Mathematical Physics, 2007
Summary: A survey of some theoretical concepts in discrete optimization is given.
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Discrete Multivariate Optimal Control

Journal of Optimization Theory and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreea Bejenaru, Monica Pîrvan
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Almost Robust Discrete Optimization

European Journal of Operational Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Opher Baron, Oded Berman, Mohammad M. Fazel-Zarandi, Vahid Roshanaei   +3 more
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Optimal Assumptions for Discreteness

Archive for Rational Mechanics and Analysis, 2012
The authors disprove a natural conjecture concerning the topological properties of Sobolev maps in Euclidean spaces. Consider a map \(f:\Omega\to\mathbb R^n\) of Sobolev class \(W^{1,n}\), where \(\Omega\) is a domain in \(\mathbb R^n\). If there exists a finite function \(K\) such that \(\|Df(x)\|^n\leq K(x)\det Df(x)\) for a.e.
Hencl, Stanislav, Rajala, Kai
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Discrete structural optimization

Computer Methods in Applied Mechanics and Engineering, 1985
The paper deals with minimum weight design of elastic structures under constraints imposed upon stresses, displacements and maximum and minimum cross-section dimensions. The structures may be designed from rolled profiles and sheets. The proposed method is based on the simultaneous solution of nonlinear equations and inequalities resulting from the ...
Gutkowski, Witold, Bauer, Jacek, Iwanow, Zdzisław   +2 more
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Discrete Structural Optimization

Journal of the Structural Division, 1981
A new method for solving discrete structural optimization problems is presented. An interior penalty function is used to convert the original constrained problem into an unconstrained parametric problem. Then the search for the optimal solution to the parametric problem is based on a discrete direction gradient. Solving an appropriate sequence of these
Judith S. Liebman, Visarn Chanaratna, Narbey Khachaturian   +2 more
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Optimal Scaling: Discretization

2012
In clinical trials the research question is often measured with multiple variables, and multiple regression is commonly used for analysis. The problem with multiple regression is that consecutive levels of the variables are assumed to be equal, while in practice this is virtually never true.
Ton J. Cleophas, Aeilko H. Zwinderman
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