Mathematical
Programming
Course Infomation

Simplex

Twophase

Dijkstra

Prim

Kruskal

Ford-Fulkerson


FAQ
Japanese/English

Instructor:

  • Kenji Ikeda
  • Room : C403
  • Office Hours : Mon. 14:00--17:00

Lectures:

  • Time : Mon. & Fri. 17:55--19:25
  • Room : C20

Course Materials

  • Textbook: No required text
  • Reference book:
    • C. H. Papadimitriou and K. Steiglitz : Combinatorial Optimization -- Algorithms and Complexity, Prentice-Hall (1982)
    • Vasek Chvatal : Linear Programming, W.H.Freeman, New York (1983)
  • Notes: course notes(Sorry! Only in Japanese)
  • Java applets: click on the left margin.

Announcement

Syllabus

    1st Linear Programming (LP) Problem an LP problem
    2nd from Geometric solution to Algebraic solution demo1
    A brief review of linear algebra.
    Basic Solutions. demo2
    3rd Fundamental Theorem
    Simplex Method demo3- 1 , 2
    4th Two Phase Method demo4- 1 , 2
    5th Revised Simplex Algorithm
    6th Duality
    • Duality Theorem
    • Complementary Slackness
    • Farkas' Lemma
    7th A brief review of Graphs and Networks
    8th Shortest Path Problem (Dijkstra's Algorithm ) demo8- 1 , 2, 3, 4
    9th MST Problem (Krukal's Algorithm) demo9- 1 , 2, 3, 4
    MST Problem (Prim's Algorithm) demo10- 1 , 2, 3, 4
    10th Maximum Flow-Minimum Cut Problem demo11- 1 , 2, 3, 4
    11th Maximum Matching - Minimum Cover Problem demo12- 1 , 2, 3, 4
    12th
    • Convex problem
    • LMI
    13th
    • Interior Point Method
    14th Trial exam
    15th Final Exam

    Grading and Exams:

    • Homework and Final Exam

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Last Modified: Thursday, 28-Apr-2022 15:20:02 JST