Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

Nonlinear programming is a numerical technique of computing the "optimum levels" of "activities" for an organization or enterpreneur wishing to maximize an "objective function" (say, profit). While ...

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As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

The proposed framework consists of a learning module named Learning Graph Dynamics with External Contact for deformable linear objects (LG-DEC) and an action generation module. The LG-DEC uses a graph ...

The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a community-driven, open programming specification for graph analysis. The specification makes the development of high-performance graph ...

The GraphBLAS Forum is a world-wide consortium of researchers working to develop a programming specification for graph analysis that will simplify development.