The Elimination form of the Inverse and its Application to Linear Programming
Management Science
- 주제수리최적화 알고리즘 · 생산·최적화
It is common for matrices in industrial applications of linear programming to have a large proportion of zero coefficients. While every item (raw material, intermediate material, end item, equipment item) in, say, a petroleum refinery may be indirectly related to every other, any particular process uses few of these. Thus the matrix describing petroleum technology has a small percentage of non-zeros. If spacial or temporal distinctions are introduced into the model the percentage of non-zeros generally falls further. The present paper discusses a form of inverse which is especially convenient to obtain and use for matrices with a high percentage of zeros. The application of this form of inverse in linear programming is also discussed.
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- 저널Management Science · 3(3) · 255–269
- 토픽Advanced Control Systems Optimization · Control and Systems Engineering
- DOI10.1287/mnsc.3.3.255
- 저자Harry M. Markowitz