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Institution:
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Haverford College
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Subject:
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Description:
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NA/QU (Cross-listed in Computer Science and Economics) L.Butler Covers in depth the mathematics of optimization problems with a finite number of variables subject to constraints. Applications of linear programming to the theory of matrix games and network flows are covered, as well as an introduction to nonlinear programming and hidden Markov models. Emphasis is on the structure of optimal solutions, algorithms to find them, and the underlying theory that explains both. This course is designed for students interested in computer science, economics, or mathematics. Prerequisite: MATH 121 and instructor consent, or MATH 215. Typically offered in alternate years.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(610) 896-1000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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