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This is the dynamic programming, branch and bound and branch and bound low memory solver to solve large instances of the knapsack problem. This was written as part of the course Discrete Optimizati…
Solving 2048 using Deep Reinforcement Learning
This repository contains the development version of the adjoint suite that is used to evaluate adjoint code generators
This is an illustration of reverse automatic differentiation. It was written as part of a proposal for GSOC 2009 and was accepted and successfully completed.
This is an octave implementation of the basic algorithm to compute speed of moving entities over a network having varying speed restrictions and acceleration/deceleration patterns
Parallel Finite Element Solver
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