The primal-dual-ipm project offers a scientific implementation and evaluation of primal-dual interior point methods for linear programming. This includes Mehrotra’s predictor-corrector algorithm. The ...

A modified version of Generalized Programming is presented for solving convex programming problems. The procedure uses convenient linear approximations of the gradient of the dual in order to ...

Abstract: This work considers the dual gradient-projection algorithm (GPAD), a lightweight quadratic programming (QP) solver for real-time embedded model predictive control (MPC) applications, and ...

Note that the optimal solution to Gonzaga’s problem denoted by (G) is [a, 0] T with an optimal value of the objective function equal to a, a ≥ 10. From the infeasible starting point e = [1, 1] T, the ...

Abstract: Emergency Departments (EDs) must operate in environments characterized by uncertainty and resource constraints. One of their critical challenges is dual-resource scheduling, that is, ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s ...

Allegro MicroSystems, Inc. introduces a new dual analog/PWM output, one-time programmable, linear IC which allows the user to optimize the device in a finished sensor assembly. Allegro MicroSystems, ...