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Interior Point Method: Solving LP Problems Efficiently

Discover the Interior Point Method for solving Linear Programming problems in polynomial time, proven faster than the Simplex method for large problems. Learn the basic idea, issues addressed, transformation process, example applications, and stopping rules.

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Interior Point Method: Solving LP Problems Efficiently

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  1. Linear Programming – Interior Point Method Big News!! 1984, N. K. Karmarkar of AT&T Bell Labs discovers new method of solving LP problems. The method is coined “Interior Point Method”. Method proved to solve in polynomial time, whereas Simplex method is non-polynomial. In otherwords, for large problems, interior point method should be faster than simplex method.

  2. Interior Point Method - Outline • Basic Idea • Issues to Overcome • Transformation • Example • Stopping Rule

  3. Interior Point Method See Shu-Cherng Fang notes

  4. Interior Point Method Stopping Rules – Another Time, Another Place

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