A new Ideal direction is proposed for Gradient Sampling that avoids quadratic programs at each step, satisfies Armijo, and preserves global convergence for nonsmooth nonconvex problems.
John Wiley & Sons, Inc
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A Gradient Sampling method based on Ideal direction for solving nonsmooth nonconvex optimization problems: convergence analysis and numerical experiments
A new Ideal direction is proposed for Gradient Sampling that avoids quadratic programs at each step, satisfies Armijo, and preserves global convergence for nonsmooth nonconvex problems.