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by
Romero, Carlos, 1946-
Format:
Excerpt:
application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily
by
Martello, Silvano.
ScienceDirect http://www.sciencedirect.com/science/book/9780444701367
ScienceDirect http://www.sciencedirect.com/science/publication?issn=03040208&volume=132
ScienceDirect http://www.sciencedirect.com/science/bookseries/03040208/132
ScienceDirect https://www.sciencedirect.com/science/book/9780444701367
https://www.sciencedirect.com/science/bookseries/03040208/132
ScienceDirect http://www.sciencedirect.com/science/publication?issn=03040208&volume=132
ScienceDirect http://www.sciencedirect.com/science/bookseries/03040208/132
ScienceDirect https://www.sciencedirect.com/science/book/9780444701367
https://www.sciencedirect.com/science/bookseries/03040208/132
Format:
Excerpt:
examined include theoretical and computational aspects (Boolean Programming, Probabilistic Analysis of
by
Ross, Sheldon M.
ScienceDirect https://www.sciencedirect.com/science/book/9780125984201
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Excerpt:
Successive Approximations; 4. Policy Improvement; 5. Solution by Linear Programming.
by
Beltrami, Edward J.
ScienceDirect http://www.sciencedirect.com/science/book/9780120855650
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Excerpt:
: Linear Programming; LINEAR PROGRAMS; FEASIBLE SETS AND OPTIMIZATION; THE SIMPLEX METHOD; ARTIFICIAL
by
Alt, Franz L.
ScienceDirect https://www.sciencedirect.com/science/book/9780120121021
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Excerpt:
. Linear Programming Applications; 6. Summary of Progress in Related Fields; 7. Linear Programming
by
Liu, Sijie, author.
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-interval multi-objective linear programming (MOLPs) algorithms are presented in Chapter 4. Numerical examples are
by
Lopez, Henry R. Moncada, author.
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programming. For the parallel code, we use the FFTW (Fastest Fourier Transform in the West) for handling the
by
Hall, Georgina, author.
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sequence of linear or second order cone programs generated in an adaptive fashion. We then focus on the
by
Davis, Dylan A.P., author.
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programming and heuristic solutions for provisioning survivable sets of routes from any number of consumers to
by
Zhou, Sen, author. (orcid)0000-0002-4245-3935
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-insensitive loss function to formulate the estimation process into a semi-infinite linear programming optimization
by
Habib, Abdulelah, author.
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framework of mixed integer linear programming. Reliability metrics increased significantly through power
by
Saghezchi, Firooz Bashashi, author.
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Integer Linear Programming (MILP) or Quadratic Programming (QP) problem, which optimally schedule their