📣 Deal of the Day 📣 Mar 11 Save 45% TODAY ONLY! Fabulous Adventures in Data Structures and Algorithms & selected titles: hubs.la/Q046lRJb0 Author Eric Lippert introduces fabulous solutions using uncommon algorithms and data structures. #algorithms #datastructures #stochasticprogramming #probabilisticprogramming This unique book introduces a collection of amazing algorithms that have the potential to change the way you program. You’ll upend the way you think about lists, learn the algorithms behind powerful developer tools, and rethink how to handle stochastic quantities in modern programming languages.

📣 Deal of the Day 📣 Nov 10 HALF OFF NEW MEAP! Fabulous Adventures in Data Structures and Algorithms & selected titles: hubs.la/Q03Sqm5w0 Learn how to solve programming challenges with lesser-known algorithmic approaches. @ericlippert #datastructures #algorithms #stochasticprogramming #probabilisticprogramming Language designer and C# legend Eric Lippert explores exciting, esoteric, and exotic data structures and algorithms that will expand your programming toolbox, and your horizons.

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!

Subject to: Laureano Escudero (Universidad Rey Juan Carlos, Spain), youtu.be/xopUNBHhm4A, #orms #optimization #Analytics #stochasticprogramming @SEIO_ES @urjc @EWGSO @IBMResearch @iberdrola

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

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/calendar/… #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

#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

#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

Subject to: Francesca Maggioni (University of Bergamo, Italy), youtu.be/DLCIrNKAKTs, #orms #optimization #Analytics #stochasticprogramming #WomenInSTEM @Francy_Maggioni @UniBergamo

Subject to: Andy Philpott (University of Auckland, New Zealand), youtu.be/RBr7NIYMvBU, #orms #optimization #Analytics #stochasticprogramming #energy @AucklandUni

Reflecting on Margarita Castro's enlightening presentation at #MIP2023 titled "Markov Chain-Based Policies for Multi-Stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics." The talk is about a novel Markov chain-based aggregation framework and its accompanying methodologies designed to optimize multi-stage stochastic integer linear programming. Primarily geared towards enhancing decision-making in situations such as disaster relief logistics, the methods balance policy flexibility, solution quality, and computational efficiency. The potential impact could expand to other areas such as unit commitment and economic dispatch within the renewable energy sector. For instance, aggregating distributed energy resources could both boost operational efficiency as well as effective decarbonization planning. As a result, the impact of climate-change-related disasters like hurricanes could be potentially diminished. The strength of Markov chain-based policies generally lies in their capability to handle low-probability, high-impact events, thereby paving the way for the adoption of greener technologies and fostering deeper decarbonization efforts. This can lead to a virtuous cycle: by leveraging these techniques for renewable energy integration and decarbonization, we could potentially reduce the severity of climate-change-induced disasters like hurricanes. Thus, Castro's Markov chain-based policies not only serve to mitigate the impact of such disasters but is also relevant to lessening their occurrence by fostering greener technologies and promoting deeper decarbonization efforts. In other words: Stochastic models and Markov chains rule! #MarkovChain #StochasticProgramming #DisasterRelief #RenewableEnergy

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!

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!

Check out this new video on the #RealLife impact of #StochasticProgramming in the #energy sector! youtube.com/watch?v=TNzC0HQ8…

Check out the C3.ai COVID-19 Grand Challenge, an international public data science competition to combat COVID-19! c3.ai/c3-ai-covid-19-grand-c… The top seven teams will share $200,000 in prize money! #StochasticProgramming #DataScience #SocialImpact

Apply now for this Junior Professor position in “Optimization and Uncertainty in Mobility” at the Carl-Friedrich-Gauß-Fakultät of @tuBraunschweig tu-braunschweig.de/en/vacanc… #OptimizationUnderUncertainty #StochasticProgramming #Mobility #RobustOptimization

Addressing climate change in a post-pandemic world mck.co/2xah29j via @McKQuarterly On this #EarthDay, what lessons can we learn from the pandemic to tackle climate change? #StochasticProgramming will be a key technology for planning our future #SPforSocialImpact