Computer Science 46 - Mathematical Optimization and Modeling

Institution:

Dartmouth College

Subject:

Description:

09S: 11 10S: Arrange Planning, scheduling, and design problems in large organizations, economic or engineering systems can often be modeled mathematically using variables satisfying linear equations and inequalities. This course explores these models: the types of problems that can be handled, their formulation, solution, and interpretation. It introduces the theory underlying linear programming, a natural extension of linear algebra that captures these types of models, and also studies the process of modeling concrete problems, the algorithms to solve these models, and the solution and analysis of these problems using a modeling language. It also discusses the relation of linear programming to the more complex frameworks of nonlinear programming and integer programming. These paradigms broaden linear programming to respectively allow for nonlinear equations and inequalities, or for variables to be constrained to be integers. Prerequisites: Computer Science 3, 8, or 19; Mathematics 8; Mathematics 22 or 24; or permission of the instructor. Dist: TAS. Fleischer.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.dartmouth.edu

Phone Number:

(603) 646-1110

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Quarter

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