Asadi, Mansouri and Zangiabadi [2] present a neighborhood following primal-dual interior-point algorithm for solving symmetric cone convex quadratic programming problems, where the objective function ...

ABSTRACT: The Kuhn-Tucker theorem in nondifferential form is a well-known classical optimality criterion for a convex programming problems which is true for a convex problem in the case when a ...

This is a tutorial for D.C. programming (Difference of two convex functions) problem. The conventional solution is derived by Taylor expansion. Stephen Boyd's group has developed a Python package ...

I am now using quadratic programming to solve a trajectory planning problem, and the test scenario is to overtake a vehicle. I try OSQP diresctly and OSQP eigen. OSQP works well, while when i use osqp ...

Time-optimal path following considers the problem of moving along a predetermined geometric path in minimum time. In the case of a robotic manipulator with simplified constraints, a convex ...

Abstract: This paper considers a class of neural networks (NNs) for solving linear programming (LP) problems, convex quadratic programming (QP) problems, and nonconvex QP problems where an indefinite ...