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 its ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

Journal of Computational Mathematics, Vol. 31, No. 4 (July 2013), pp. 335-354 (20 pages) In this paper, we consider the solution of the standard linear programming (LP). A remarkable result in LP ...

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

This is a preview. Log in through your library . Abstract In this note we use the concept of intersection cut, introduced by Balas for integer programming problems, to develop a cutting-plane ...

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling.

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.<BR><BR>I've done several other problems already, but ...