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Sayma Akhter JafrinMastering Optimization with Excel: A Practical Guide to Linear Programming for Business ProblemsOptimization problems are everywhere — from determining how many products to manufacture to managing resources and even planning schedules…6d ago6d ago
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Mayur KoshtiInteger Programming vs. Linear ProgrammingBoth methods help in decision-making processes, they have distinct differences in terms of complexity, application, and problem-solving.1d ago
Will FuksinTowards Data ScienceHow We Optimized The Problem Of Global Containers DistributionUsing Linear Programming to optimize a complete container-based supply chain operation across the globeAug 12
Linh V NguyeninOperations Research BitUsing Data Science for Optimizing Marketing Budget and AttributionWe have 4 different display advertising campaigns (with Markov Chain and Linear Programming).Jun 22
Sayma Akhter JafrinMastering Optimization with Excel: A Practical Guide to Linear Programming for Business ProblemsOptimization problems are everywhere — from determining how many products to manufacture to managing resources and even planning schedules…6d ago
Sejal DuainTowards Data ScienceJet Sweep: Route Optimization to Visit Every NFL Team at HomeSolving the Traveling Salesman Problem with Linear ProgrammingJun 33
Shenggang LiinTowards AISolving Complex Business Problems with Mixed-Integer Linear ProgrammingA Practical Exploration of MILP Applications: From Workforce Optimization to Financial Planning and BeyondSep 171
Hussein FellahiinTowards Data ScienceUncertainty in Markov Decisions Processes: a Robust Linear Programming approachTheoretical derivation of the Robust Counterpart of Markov Decision Processes (MDPs) as a Linear Program (LP)Sep 18
Ryan O'SullivaninTowards Data ScienceUsing Double Machine Learning and Linear Programming to optimise treatment strategiesCausal AI, exploring the integration of causal reasoning into machine learningApr 261