Optimization Theory 2

ENG EC 674

This course is an introduction to optimization problems and algorithms emphasizing problem formulation, basic methodologies and the underlying mathematical structures. We will cover the classical theory as well as the state of the art. The major topics we will cover are: 1. Theory and algorithms for linear programming. 2. Introduction to combinatorial problems and methods for handling intractable problems. 3. Introduction to nonlinear programming. 4. Introduction to network optimization. Optimization techniques have many applications in science and engineering. To name a few: * Optimal routing in communication networks. * Transmission scheduling and resource allocation in sensor networks. * Production planning and scheduling in manufacturing systems. * Fleet management. * Air traffic flow management by airlines. * Optimal resource allocation in manufacturing and communication systems. * Optimal portfolio selection. * Analysis and optimization of fluxes in metabolic networks. * Protein docking. Prerequisites: Working knowledge of Linear Algebra and some degree of mathematical maturity. Same as ENG EC 674, ENG SE 524, ENG EC 674. Students may not receive credits for both.

FALL 2025 Schedule

Section Instructor Location Schedule Notes
A1 Castanon EPC 209 TR 3:30 pm-5:15 pm

FALL 2025 Schedule

Section Instructor Location Schedule Notes
B1 Castanon PHO 201 F 4:30 pm-6:15 pm PhD Stdent Only Mts w/ENG SE674 Mts w/ENG EC524 Mts w/ENG SE524

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.