Article Title Mixed integer programming modeling for the satellite three-dimensional component assignment and layout optimization problem ...

Given the recent success of machine learning in solving computational tasks previously thought unsolvable, we propose to develop methods that apply Bayesian learning to perform meta-learning to speed ...

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.

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design.

Course Description This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; ...

Optimization without calculus; geometric programming; convex sets and convex functions; review of linear algebra; linear programming and the simplex method; convex programming; iterative ...

Geometric programming (GP) is a new technique that appears to have significant potential in marketing. Researchers have avoided optimization models in marketing, partially because empirical estimates ...

We present a complete mathematical model describing the various interactions in a wastewater treatment plant. The optimal design of the plant is studied by first reformulating the model as a signomial ...