Pairwise influences in dynamic choice: network-based model and application. [PDF]
J Appl Stat, 2021 Nasini S, Martínez-de-Albéniz V.
europepmc +1 more source
Mathematical optimization models for reallocating and sharing health equipment in pandemic situations. [PDF]
Top (Berl), 2023 Blanco V, Gázquez R, Leal M.
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A method for convex black-box integer global optimization
We study the problem of minimizing a convex function on a nonempty, finite subset of the integer lattice when the function cannot be evaluated at noninteger points.
Stefan M. Wild +3 more
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Mathematisches Forschungsinstitut Oberwolfach Report No. 50/2005 Combinatorial Optimization
, 2005 . This report summarizes the meeting on Combinatorial Optimization where new and promising developments in the field were discussed. The lectures show the many connections to other branches in Mathematics, like Combinatorics, Graph Theory, Geometry and ...
Uwe Zimmermann (braunschweig +2 more
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Оптимален избор на фирма при провеждане на търг
, 2011 Силвия К. Баева, Цветана Хр. Недева - Важен аспект в системата на Министерството на регионалното развитие и благоустройство е работата по Оперативна програма “Регионално развитие” с приоритетна ос “Устойчиво и интегрирано градско развитие” по операция ...
Nedeva, Cvetana, Baeva, Silvia
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Second-order cover inequalities Mathematics Subject Classification 90C10 · 90C27
, 2008 We introduce a new class of second-order cover inequalities whose members are generally stronger than the classical knapsack cover inequalities that are commonly used to enhance the performance of branch-and-cut methods for 0-1 integer programming ...
core
Doubly Nonnegative and Semidefinite Relaxations for the Densest k-Subgraph Problem. [PDF]
Entropy (Basel), 2019 Guo CH, Guo Y, Liu BB.
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Flow Separation and Turbulence in Jet Pumps for Thermoacoustic Applications. [PDF]
Flow Turbul Combust, 2017 Oosterhuis JP +4 more
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The Sample Average Approximation Method For Stochastic Discrete Optimization
. In this paper we stud a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and consequentl the expected value function is approximated b the ...
Anton J. Kleywegt, Alexander Shapiro
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Module Anchored Network Inference: A Sequential Module-Based Approach to Novel Gene Network Construction from Genomic Expression Data on Human Disease Mechanism. [PDF]
Int J Genomics, 2017 Muthiah A, Keller SR, Lee JK.
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