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Interior-Point Methods

In: Linear and Nonlinear Optimization

Author

Listed:
  • Richard W. Cottle

    (Stanford University)

  • Mukund N. Thapa

    (Optical Fusion, Inc.)

Abstract

This chapter discusses interior-point methods for linear programming as promised in Chap. 7. Their placement here is justified by the fact that they rely on the theory and methods of nonlinear optimization for which they were originally developed.

Suggested Citation

  • Richard W. Cottle & Mukund N. Thapa, 2017. "Interior-Point Methods," International Series in Operations Research & Management Science, in: Linear and Nonlinear Optimization, chapter 0, pages 517-536, Springer.
    • Handle: RePEc:spr:isochp:978-1-4939-7055-1_14
    DOI: 10.1007/978-1-4939-7055-1_14
    as

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