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.

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.

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

In this paper simulation techniques are used to evaluate the use of linear programming in regression analysis. The experiments demonstrate that, in certain cases, minimizing the sum of the absolute ...

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

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...