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 ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse after every step of the method.

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

We developed spreadsheet linear-programming models for planning shipments of finished goods between vendors, manufacturing plants, warehouses, and customers to minimize overall cost subject to maximum ...

Instructor Fall 2016: Sriram SankaranarayananPrerequisitesCalculus I,II + Algorithms + Linear Algebra.Topics CoveredRoughly, we will cover the following topics (some of them may be skipped depending ...