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Performance of Neural Algorithms for Maximum-Cut Problems.
Kiichi Urahama
Published in:
J. Circuits Syst. Comput. (1992)
Keyphrases
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optimization problems
orders of magnitude
neural network
problems in computer vision
related problems
run times
computational geometry
benchmark problems
test problems
greedy algorithms
theoretical guarantees
difficult problems
times faster
computational cost
computationally efficient
approximate solutions
convex optimization problems
computational problems
specific problems
significant improvement
combinatorial optimization
combinatorial problems
convex optimization
theoretical analysis
heuristic methods
bio inspired
computational complexity
benchmark datasets
integer programming
reinforcement learning
hard problems
inference problems
genetic algorithm