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Spring 2014
Mar 28, 2024
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 52000 - Computational Methods In Optimization
Credit Hours: 3.00. A treatment of numerical algorithms and software for optimization problems with a secondary emphasis on linear and nonlinear systems of equations: unconstrained and constrained optimization; line search methods; trust region methods; Quasi-Newton methods; linear programming; calculating derivatives; quadratic programming; global optimization, including simulated annealing. Typically offered Spring.
3.000 Credit hours

Levels: Graduate, Professional, Undergraduate
Schedule Types: Lecture

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      PU Fort Wayne
      West Lafayette


Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Majors:     
      Computer Science

Prerequisites:
GR-CS 52000 Requisites

General Requirements:

Student Attribute: GR
May not be taken concurrently.  )
or
Rule: 1.: CS 15900 or 17700 for a total of 1 conditions )
CS 15900
Minimum Grade of D-
May not be taken concurrently. CS 17700
Minimum Grade of D-
May not be taken concurrently. End of rule 1.

and
Rule: 2.: MA 35100 or 51100 for a total of 1 conditions MA 35100
Minimum Grade of D-
May not be taken concurrently. MA 51100
Minimum Grade of D-
May not be taken concurrently. End of rule 2.


Short Title: Comput Meth In Optimization

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0

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