A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
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Updated
Sep 20, 2026 - Python
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
Approximate Dynamic Programming for Portfolio Selection Problem
This repository provides solutions and implementations for Stochastic Dynamic Programming (SDP) problems. It includes theoretical insights, practical coding examples, and detailed explanations for addressing various challenges in decision-making under uncertainty and stochastic processes.
Stochastic dynamic programming for industrial freezer control and compressor selection under time-of-use pricing, demand charges, thermal uncertainty, and safety constraints.
Dynamic state variable model builder for behavioural ecology (Mangel & Clark): solve, simulate, and plot in the browser
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