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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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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.
Pipeline fault diagnosis techniques is of great significance to improve the efficiency of pipeline transportation. The mechanism model, an important component of the hybrid mechanism-data-driven ...
The rapid expansion of the Internet of Things (IoT) has led to the development of smart homes and automation systems. Trigger-action programming (TAP) has emerged as a prevalent paradigm used in IoT, ...