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Abstract: Linear programming is one of the most widely applied solutions to optimization problems. This paper presents ... equations are known only to the other party. An algorithm based on revised ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP ... HiGHS has primal and dual revised simplex solvers, originally written by Qi Huangfu and further developed by ...

This article presents a numerical model based on the finite difference method for the physical and geometric non-linear analysis of a one-dimensional consolidation problem regarding a saturated, ...

Herein, through modeling and experiments, we demonstrate the general design strategy for single-component platinum micromotors that, in the presence of hydrogen peroxide, can execute a variety of ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...