Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
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Updated
Dec 15, 2024 - Python
Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
Make Better Financial Decisions. Tools and methods that are selected carefully to align with academic consensus, bridging the gap between theoretical knowledge and practical application.
The project involves a review of the current Imserso seat allocation algorithm, aiming to provide a fairer version of the existing process
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