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 ...

Linear programming is one of the most widely applied solutions to optimization problems. This paper presents a privacy-preserving solution to linear programming for two parties when the cost, or ...

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 ...

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 ...

Choosing the right method for robust and non-linear PCA and FA depends on several factors, such as the type and amount of outliers and noise, the degree and form of non-linearity, the number 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 ...

SCIP: Solving Constraint Integer Programs Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming ...