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Maria Bazotte (@MBazotte), one of our brilliant PhD students at the SCALE-AI Chair at @polymtl, has just been awarded the Dupačová-Prékopa Best Student Paper Prize in #StochasticProgramming at #ICSP2025!

vidalthi's tweet image. Maria Bazotte (@MBazotte), one of our brilliant PhD students at the SCALE-AI Chair at @polymtl, has just been awarded the Dupačová-Prékopa Best Student Paper Prize in #StochasticProgramming at #ICSP2025!

Plenary talk Jim Luedtke (@jim_luedtke) U. Wisconsin-Madison (@UWMadison), USA "Generator Expansion to Improve Power Grid Resiliency and Efficiency: A Case Study in Location Analysis Under Uncertainty" #StochasticProgramming #NonLinearOpt #MachineLearning

iwoloca's tweet image. Plenary talk

Jim Luedtke (@jim_luedtke)

U. Wisconsin-Madison (@UWMadison), USA

"Generator Expansion to Improve Power Grid Resiliency and Efficiency: A Case Study in Location Analysis
Under Uncertainty"

#StochasticProgramming #NonLinearOpt #MachineLearning
iwoloca's tweet image. Plenary talk

Jim Luedtke (@jim_luedtke)

U. Wisconsin-Madison (@UWMadison), USA

"Generator Expansion to Improve Power Grid Resiliency and Efficiency: A Case Study in Location Analysis
Under Uncertainty"

#StochasticProgramming #NonLinearOpt #MachineLearning

Dr Michael A H Dempster: "Bill Ziemba's legacy consists of a wide range of contributions to the literature ranging from pure mathematics and theoretical physics to engineering, economics, politics, finance and professional baseball." #StochasticProgramming #RiskManagement


Dive into the World of Multistage Stochastic Programs 📊: Ever heard of Epi-convergent Discretizations? 🔄 These cutting-edge techniques ensure convergence to optimal solutions, providing a robust framework for decision-making under uncertainty. #StochasticProgramming

JordanJamesEtem's tweet image. Dive into the World of Multistage Stochastic Programs 📊: Ever heard of Epi-convergent Discretizations? 🔄 These cutting-edge techniques ensure convergence to optimal solutions, providing a robust framework for decision-making under uncertainty. #StochasticProgramming…

The 2nd Copenhagen PhD School of Stochastic Programming will take place during the days before EURO 2024. Guest lecturers: - @Francy_Maggioni - Asgeir Tomasgard - Alois Pichler - Michal Kaut Info and registration math.ku.dk/english/calend… #StochasticProgramming #Optimization


#ODS2023 #Day4 #StochasticProgramming Daniele Manerba talks about a VRP with divisible delivery and pickups where the optional return demand is subject to uncertain positive variations as in realistic scenarios in the context of reverse logistics @ODS2023 #orms

AIROyoung's tweet image. #ODS2023 #Day4 #StochasticProgramming
Daniele Manerba talks about a VRP with divisible delivery and pickups where the optional return demand is subject to uncertain positive variations as in realistic scenarios in the context of reverse logistics @ODS2023 #orms

#ODS2023 #Day4 #StochasticProgramming Andrea Spinelli uses a rolling-horizon approach to tackle a multi-stage stochastic model for the waste collection problem @ODS2023 #orms

AIROyoung's tweet image. #ODS2023 #Day4 #StochasticProgramming
Andrea Spinelli uses a rolling-horizon approach to tackle a multi-stage stochastic model for the waste collection problem @ODS2023 #orms

#ODS2023 #Day4 #StochasticProgramming Sara Stoia shows how to frame into a Markov Decision Process a Dynamic Pickup and Delivery Problem with crowd-shipping and time-dependent travel times in order to apply Approximate Dynamic Programming @ODS2023 #orms

AIROyoung's tweet image. #ODS2023 #Day4 #StochasticProgramming
Sara Stoia shows how to frame into a Markov Decision Process a Dynamic Pickup and Delivery Problem with crowd-shipping and time-dependent travel times in order to apply Approximate Dynamic Programming @ODS2023 #orms

#ODS2023 #Day4 #StochasticProgramming Dario Bezzi shows a two-stage stochastic programming formulation for the Electric Vehicle VRP with stochastic energy consumption and presents a heuristic based on a threshold recourse policy @ODS2023 #orms

AIROyoung's tweet image. #ODS2023 #Day4 #StochasticProgramming
Dario Bezzi shows a two-stage stochastic
programming formulation for the Electric Vehicle VRP with stochastic energy consumption and presents a heuristic based on a threshold recourse policy @ODS2023 #orms

We are pleased to announce the triennial Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming which will be given in recognition of the most outstanding student-authored paper(s) in #StochasticProgramming to be awarded at ICSP @ucdavis!

StoProgSociety's tweet image. We are pleased to announce the triennial Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming which will be given in recognition of the most outstanding student-authored paper(s) in #StochasticProgramming to be awarded at ICSP @ucdavis!

#Daily_Share 📢 Welcome to read the Top Cited Papers in 2022 (mdpi.com/journal/algori…) 📗 "A Review on the Performance of Linear and Mixed Integer Two-Stage #StochasticProgramming Software" #Views: 1551 #Citations: 5 mdpi.com/1999-4893/15/4… via @ComSciMath_Mdpi

Algorithms_MDPI's tweet image. #Daily_Share 

📢 Welcome to read the Top Cited Papers in 2022 
(mdpi.com/journal/algori…)

 📗 "A Review on the Performance of Linear and Mixed Integer Two-Stage #StochasticProgramming Software"

 #Views: 1551
 #Citations: 5

mdpi.com/1999-4893/15/4… via @ComSciMath_Mdpi

Join us this summer for the flagship conference on #StochasticProgramming @ucdavis ! Amazing lineup of plenary and keynote speakers! We will also have a day of tutorials on end-to-end learning / contextual stochastic optimization!

The keynote and plenary speakers for the 2023 XVI International Conference on Stochastic Programming taking place @ucdavis have been announced! #ICSP2023 na.eventscloud.com/website/40825/



Today is the deadline for submitting your abstracts to the @INFORMS Optimization Society Conference @InformsOS! Submit here: cecas.clemson.edu/informs-confer… to present in the Optimization under Uncertainty Cluster #StochasticProgramming #RobustOptimization #ReinforcementLearning

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Tidak ada hasil untuk "#stochasticprogramming"
Tidak ada hasil untuk "#stochasticprogramming"
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