Students must have completed: Probability, Distribution Theory and Inference (ST202) AND Mathematical Methods (MA100) or equivalent. It is assumed students have taken at least a first course in linear ...

ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important ...

Introductory Example: Linear Programming Models: Interior Point algorithm Consider the Linear Programming problem in the "An Introductory Example" section in the chapter on the LP procedure.

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.

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate ...

We developed spreadsheet linear-programming models for planning shipments of finished goods between vendors, manufacturing plants, warehouses, and customers to minimize overall cost subject to maximum ...

Linear programming is a fundamental planning tool. It is often difficult to precisely estimate or forecast certain critical data elements of the linear program. In such cases, it is necessary to ...

Students must have completed: EITHER Probability, Distribution Theory and Inference (ST202) OR Probability and Distribution Theory (ST206) AND Mathematical Methods (MA100) or equivalent. It is assumed ...