However, most of the algorithms have high computational costs, making them impractical for real-time applications. To that end, we address this problem by proposing a linear programming (LP)-based ...

This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.

Two methods are shown for the solution of the optimal control problem. One is the variational method, and the other consists of reducing the problem to a linear or nonlinear programming problem. Upon ...

The size and complexity of energy system optimization models have increased significantly in recent years, driven by the availability of high-resolution spatial data. We present complexity reduction ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

Deciding between an Agile and Waterfall methodology for project management? This guide compares the two approaches to help you choose.

Over the past 25 to 30 years, agile innovation methods have greatly increased success rates in software development, improved quality and speed to market, and boosted the motivation and ...

Implementation and visualisation of multiple classical linear calibration methods for a single image.This repo aims to provide as many single image calibration methods as possible for linear pinhole ...

In this paper, we consider nonseparable convex minimization models with quadratic coupling terms arised in many practical applications. We use a majorized indefinite proximal alternating direction ...