Dr. Rader currently focuses his research in the areas of nonlinear 0-1 optimization, computational integer programming, and exam time timetabling.

A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too ...

The computational results on problems with up to 2750 variables strongly confirm our hypothesis that a combination of problem preprocessing, cutting planes, and clever branch-and-bound techniques ...

Assignments will include conceptual multiple-choice questions as well as problem solving assignments that will involve programming and testing algorithms. Learning Outcomes Formulate linear and ...

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, ...

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

Advanced AI-based techniques scale-up solving complex combinatorial optimization problems Date: June 10, 2024 Source: University of California - San Diego Summary: A framework based on advanced AI ...