Unbalanced Distribution System Expansion and Energy Storage Planning Under Wildfire Risk
IEEE Access, 2023 Reducing the risks of wildfire ignition has become a major concern for many electric utilities. In recent years, they have relied on Public Safety Power Shutoff (PSPS) programs to de-energize select power lines to prevent wildfire risks. A cost-effective
Augusto Zanin Bertoletti +1 more
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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
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Entropic approximation for mathematical programs with robust equilibrium constraints [PDF]
, 2014 In this paper, we consider a class of mathematical programs with robust equilibrium constraints represented by a system of semi-infinite complementarity constraints (SIC C). We propose a numerical scheme for tackling SICC.
Azé D. +6 more
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Quantitative stability analysis of stochastic generalized equations [PDF]
, 2014 We consider the solution of a system of stochastic generalized equations (SGE) where the underlying functions are mathematical expectation of random set-valued mappings.
Dentcheva D. +8 more
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A comment on "computational complexity of stochastic programming problems" [PDF]
, 2015 Although stochastic programming problems were always believed to be computationally challenging, this perception has only recently received a theoretical justification by the seminal work of Dyer and Stougie (Math Program A 106(3):423–432, 2006). Amongst
Hanasusanto, GA, Kuhn, D, Wiesemann, W
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Neur2SP: Neural Two-Stage Stochastic Programming
, 2022 Stochastic Programming is a powerful modeling framework for decision-making under uncertainty. In this work, we tackle two-stage stochastic programs (2SPs), the most widely used class of stochastic programming models. Solving 2SPs exactly requires optimizing over an expected value function that is computationally intractable.
Dumouchelle, Justin +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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Inexact stochastic mirror descent for two-stage nonlinear stochastic programs [PDF]
Mathematical Programming, 2020 We introduce an inexact variant of Stochastic Mirror Descent (SMD), called Inexact Stochastic Mirror Descent (ISMD), to solve nonlinear two-stage stochastic programs where the second stage problem has linear and nonlinear coupling constraints and a nonlinear objective function which depends on both first and second stage decisions.
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Multiplier Stabilization Applied to Two-Stage Stochastic Programs [PDF]
Journal of Optimization Theory and Applications, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clara Lage +2 more
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Decision Rule Bounds for Two-Stage Stochastic Bilevel Programs [PDF]
SIAM Journal on Optimization, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yanikoglu, Ihsan, Kuhn, Daniel
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