This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Mathematical Programming with Vanishing Constraints Publication Trend The graph below shows the total number of publications each year in Mathematical Programming with Vanishing Constraints.

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 ...

A federal judge said work must stop for 14 days while she considered arguments that building and operating the immigration detention facility would harm the environment. By Patricia Mazzei Readers ...

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 ...

We then demonstrate that if the system satisfies standard Euler-Lagrange systems properties then our construction can also handle constraints on the allowable control inputs. We finally show the ...

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