MATLAB implementations of various nonlinear programming algorithms. This repository contains MATLAB implementations of a variety of popular nonlinear programming algorithms, many of which can be found ...

textbook-nonlinear-programming Solution trials for Nonlinear Programming: Theory and Algorithms 3rdEd, M.S. Bazaraa et.

Jonathan Eckstein, Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming, Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 202-226 ...

Researchers utilise models that blend bilevel optimisation, mixed-integer nonlinear programming (MINLP) and distributed algorithms such as the alternating direction method of multipliers (ADMM) to ...

This paper shows that a pursuit-evasion problem can be made amenable to solution with nonlinear programming algorithms by operating the pursuer and evader systems in a "discrete" mode of control and ...

The efficient nonlinear programming algorithms are utilized. The initial values for computational procedures are estimated using heuristics and suitable statistical techniques. The proposed ideas are ...

In addition, two algorithms are presented for approximately solving fractional programming (FP) problems. The first algorithm is based on an objective space cut and bound method for solving convex FP ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...