Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At ...

Linear Programming and Optimization Problem (via Excel) Biggiesized Mar 4, 2009 Jump to latest Follow Reply ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Topics Geometry of Linear Programming (LP) Polyhedra, extreme points, degeneracy Simplex method Duality Complexity of LP, ellipsoid method Large-scale optimization Network flows Integer linear ...

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

CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance Computing, Intelligent Computing, Scientific Visualization, and Computational ...

Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver.

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

Bomze IM, de Klerk E (2002) Solving standard quadratic optimization problems via linear, semidefinite and copositive programming. J. Global Optim. 24 (2):163–185. Burer S (2009) On the copositive ...