Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

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 ...

The problem addressed is that of reducing the set of finite (discrete) multiple-criteria alternatives to a subset of alternatives based on three assumptions: that the (multiattribute) utility function ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

Integer [Linear] Programming Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously.

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

Given the high performance and efficiency of SIMD operations, developers will increasingly look for ways to solve data-driven problems using this approach. The prefix sum problem demonstrates is a ...

CBSE 12th Maths Linear Programming Formulas: Check the list of important formulas of mathematics Class 12 Chapter 12 Linear Programming here with major definitions, theorems and examples.