Parameterized algorithms for block-structured integer programs with large entries [PDF]
TheoretiCSWe study two classic variants of block-structured integer programming. Two-stage stochastic programs are integer programs of the form $\{A_i \mathbf{x} + D_i \mathbf{y}_i = \mathbf{b}_i\textrm{ for all }i=1,\ldots,n\}$, where $A_i$ and $D_i$ are bounded ...
Jana Cslovjecsek +4 more
doaj +1 more source
Stability and sensitivity analysis of stochastic programs with second order dominance constraints [PDF]
, 2010 In this paper we present stability and sensitivity analysis of a stochastic optimization problem with stochastic second order dominance constraints. We consider perturbation of the underlying probability measure in the space of regular measures equipped ...
Xu, Huifu +3 more
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Neutral vs. non-neutral genetic footprints of Plasmodium falciparum multiclonal infections.
PLoS Computational Biology, 2023 At a time when effective tools for monitoring malaria control and eradication efforts are crucial, the increasing availability of molecular data motivates their application to epidemiology.
Frédéric Labbé +8 more
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Are quasi-Monte Carlo algorithms efficient for two-stage stochastic programs? [PDF]
, 2016 Quasi-Monte Carlo algorithms are studied for designing discrete approximations of two-stage linear stochastic programs with random right-hand side and continuous probability distribution.
Leövey, Hernan +2 more
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A two-stage stochastic programming with recourse model for determining robust planting plans in horticulture [PDF]
, 2000 A two-stage stochastic programming with recourse model for the problem of determining optimal planting plans for a vegetable crop is presented in this paper.
Darby-Dowman, K +3 more
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Constraint generation for risk averse two-stage stochastic programs [PDF]
, 2021 A significant share of stochastic optimization problems in practice can be cast as two-stage stochastic programs. If uncertainty is available through a finite set of scenarios, which frequently occurs, and we are interested in accounting for risk ...
García-Bertrand, Raquel +2 more
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Sampling-Based Algorithms for Two-Stage Stochastic Programs and Applications [PDF]
, 2021 In this dissertation, we present novel sampling-based algorithms for solving two-stage stochastic programming problems. Sampling-based methods provide an efficient approach to solving large-scale stochastic programs where uncertainty is possibly defined ...
Tabrizian, Siavash
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Oscillating Cosmological Solutions in the Modified Theory of Induced Gravity
Advances in Astronomy, 2019 This work is the extension of author’s research, where the modified theory of induced gravity (MTIG) is proposed. In the framework of the MTIG, the mechanism of phase transitions and the description of multiphase behavior of the cosmological scenario are
Farkhat Zaripov
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Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources
Energies, 2019 The integration of renewable energy resources (RES) (such as wind and photovoltaic (PV)) on large or small scales, in addition to small generation units, and individual producers, has led to a large variation in energy production, adding uncertainty to ...
Gerardo J. Osório +4 more
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A Numerical Method for Two-Stage Stochastic Programs under Uncertainty [PDF]
, 2011 Motivated by problems coming from planning and operational management in power generation companies, this work extends the traditional two-stage linear stochastic program by adding probabilistic constraints in the second stage.
Paul Bosch
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