Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Mixed integer programming modeling for the satellite three-dimensional component assignment and layout optimization problem Article Publication Date 22-Jan-2025 ...

Introduction to mathematical optimization and its applications, linear optimization models, Simplex Algorithm, sensitivity analysis, mixed-integer optimization models, branch-and-bound algorithm, ...

Mathematically optimizing traffic lights ... in favor of a relatively coarse piecewise linear approximation and apply the technically well-developed tool of mixed-integer linear programming, ...

The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method, Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm.

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

Learn more about the Dynamic Programming, Greedy Algorithms course here including a course overview, cost information, related jobs and more.

The MS Business Analytics degree focuses on the exciting and fast-growing field of big data. Designed to teach students how to translate data into strategic business decisions, this robust technical ...