Results 231 to 240 of about 297,933 (284)

Heterogeneous Integration of Microelectronics by Self-Assembly. [PDF]

Micromachines (Basel)
Ma Y, Böhringer KF.
europepmc   +1 more source

Benders Decomposition Using Graph Modeling and Multi-Parametric Programming. [PDF]

Ind Eng Chem Res
Brahmbhatt P, Cole DL, Zavala VM, Avraamidou S.   +3 more
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Predictive stochastic programming

Computational Management Science, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yunxiao Deng, Suvrajeet Sen
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Stochastic Offline Programming

2009 21st IEEE International Conference on Tools with Artificial Intelligence, 2009
We propose a framework which we call stochastic off-line programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment which helps the developer choose heuristic advisors that guide the search for satisfying or optimal solutions.
Yuri Malitsky, Meinolf Sellmann
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Stochastic program optimization

Communications of the ACM, 2016
The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in high-performance computing. However, the competing constraints of transformation correctness and performance improvement often force even special purpose compilers to produce sub-optimal code.
Eric Schkufza, Rahul Sharma 0001, Alex Aiken   +2 more
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On stochastic integer programming

Zeitschrift für Operations Research, 1975
The probability distribution of the optimum (Z) of an integer linear program is discussed in which the elements of the right-hand-side (RHS) are distributed independently. The assumptions of the asymptotic algorithm ofGomory are supposed to hold for each realization of the RHS.
Hans-Jürgen Zimmermann, Moshe Asher Pollatschek   +1 more
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Stochastic Programs with Recourse

SIAM Journal on Applied Mathematics, 1967
Abstract : So far the study of stochastic programs with recourse has been limited to the case (called by G. Dantzig programming under uncertainty) when only the right-hand sides or resources of the problem are random. In this paper the authors extend the theory to the general case when essentially all the parameters involved are random.
Walkup, D. W., Wets, R. J.-B.
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Periodical Multistage Stochastic Programs

SIAM Journal on Optimization, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Shapiro 0001, Lingquan Ding
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Asymptotic Stochastic Programs

Mathematics of Operations Research, 1995
Consider a stochastic program with unique solution. By the notion of epi-convergence in distribution in local coordinates, we define the asymptotic stochastic program associated to it. Stochastic programs may be classified according to the type of the pertaining asymptotic program.
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Stochastic Programming

Statistica Neerlandica, 1967
SummaryThis report presents an approach to stochastic programming. It treats mainly the difficulties arising in formulating the problem and the possibilities to derive a deterministic problem by which it can be replaced. In a sense the approach of this report unifies different viewpoints on stochastic programming problems as they have been published in
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