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math.OC2021
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen, Xiaohan Chen, Wuyang Chen +4
Learning to optimize (L2O) is an emerging approach that leverages machine learning to develop optimization methods, aiming at reducing the laborious iterations of hand engineering.…
math.OC2018
Asynchronous Sequential Inertial Iterations for Common Fixed Points Problems with an Application to Linear Systems
Howard Heaton, Yair Censor
The common fixed points problem requires finding a point in the intersection of fixed points sets of a finite collection of operators. Quickly solving problems of this sort is of g…
math.OC2018
Derivative-free superiorization with component-wise perturbations
Yair Censor, Howard Heaton, Reinhard Schulte
Superiorization reduces, not necessarily minimizes, the value of a target function while seeking constraints-compatibility. This is done by taking a solely feasibility-seeking algo…