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Ma 391: Topics in Optimization

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A study of deterministic methods employed in operations research. Topics include specific cases of linear programming problems as well as integer and nonlinear programming. Prerequisite(s): Ma 150. 3 Credits.

Spring 2023 Course Information

Recommended Homework:

Textbook Website:  www.mhhe.com/hillier

Be sure you've practiced implementing all algorithms (even if you think you totally understand it).

  • 9.1-2, 9.2-2, 9.2-6, 9.2-20, 9.3-2 (b-f), 9.3-9, 9.4-1
  • 10.3-2, 10.3-7, 10.4-3,  10.5-6 (a), 10.6-5 (a,b and (c or d)) and solve it using the network simplex
  • 12.1-2, 12.1-6, 12.3-4, 12.4-7, 12.5-3, 12.6-3, 12.7-8, 12.8-1, 12.8-8, 12.8-11
  • 13.2-5, 13.2-6 (a-c), 13.4-1 (I would use Excel to compute the function values ...), 13.5-1 (a-b), 13.6-3, 13.7-2 (a), 13.9-8, 13.9-15 (use the SUMT procedure and the gradient method)
  • 14.2-4, 14.2-6

Tentative Schedule:

See Canvas for additional details/updates.

  • Chapter 21:  Jan 11 - 13
  • Chapter 9:  Jan 13 - 20
  • Chapter 10:  Jan 23 - Feb 6
  • Chapter 12:  Feb 8 - 27
  • Chapters 13:  March 1 - 17
  • Chapter 20/Simulation:  March 27 - April 10
  • Multicriteria and Additional Topics:  April 14 - 28

 Assignments/Case Studies:

Assignments

These case studies give students the opportunity to develop the following professional competencies: