ML time predictor combined with simulated annealing optimizes variable orderings to accelerate Boolean Characteristic Set solving of equation systems, with probabilistic complexity bounds derived.
An elimination method for polynomial systems.Journal of Symbolic Computation, 16(2):83– 114, 1993
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Variables Ordering Optimization in Boolean Characteristic Set Method Using Simulated Annealing and Machine Learning-based Time Prediction
ML time predictor combined with simulated annealing optimizes variable orderings to accelerate Boolean Characteristic Set solving of equation systems, with probabilistic complexity bounds derived.