The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

According to a recently released Nielsen report, streaming viewing has surpassed linear TV (broadcasting and cable) for the ...

python optimization ampl linear-programming milp modeling-language nonlinear-optimization nonlinear-programming mip integer-programming mixed-integer-programming linear-optimization ...

We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional subspaces, and ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac {1} {2}x^TQx + c^Tx \qquad \textrm {s.t.}~ \quad L \leq Ax ...