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Cranfield University (United Kingdom). School of Engineering. degree granting institution.

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European Federation of Chemical Engineering. Working Party on Computer Aided Process Engineering.

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European Symposium on Computer Aided Process Engineering (10th : 2000 : Florence, Italy)

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Hong Kong University of Science and Technology (Hong Kong). Industrial Engineering and Logistics Management. degree granting institution.

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Huang, Ximin. author.

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IBM Deutschland.

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International Business Machines Corporation.

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International Food Policy Research Institute.

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International Mathematical Programming Symposium (10th : 1979 : Montréal, Québec)

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International Symposium on Interval Mathematics (2nd : 1980 : Universität Freiburg)

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Electronic books.

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Elsevier E-Book Collections

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Special Collection Sercan-İlhan Gülsün (2. Floor)

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Cover image for Multiple criteria analysis for agricultural decisions

Multiple criteria analysis for agricultural decisions

121.

Multiple criteria analysis for agricultural decisions

by

Romero, Carlos, 1946-

ScienceDirect http://www.sciencedirect.com/science/book/9780444503435
ScienceDirect http://www.sciencedirect.com/science/bookseries/09265589/11

Format:

Excerpt:

application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily

Cover image for Surveys in combinatorial optimization

Surveys in combinatorial optimization

122.

Surveys in combinatorial optimization

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

Format:

Excerpt:

examined include theoretical and computational aspects (Boolean Programming, Probabilistic Analysis of

Cover image for Introduction to stochastic dynamic programming

Introduction to stochastic dynamic programming

123.

Introduction to stochastic dynamic programming

by

Ross, Sheldon M.

ScienceDirect https://www.sciencedirect.com/science/book/9780125984201

Format:

Excerpt:

Successive Approximations; 4. Policy Improvement; 5. Solution by Linear Programming.

Cover image for Models for public systems analysis

Models for public systems analysis

124.

Models for public systems analysis

by

Beltrami, Edward J.

ScienceDirect http://www.sciencedirect.com/science/book/9780120855650

Format:

Excerpt:

: Linear Programming; LINEAR PROGRAMS; FEASIBLE SETS AND OPTIMIZATION; THE SIMPLEX METHOD; ARTIFICIAL

Cover image for Advances in computers. Volume 2

Advances in computers. Volume 2

125.

Advances in computers. Volume 2

by

Alt, Franz L.

ScienceDirect https://www.sciencedirect.com/science/book/9780120121021

Format:

Excerpt:

. Linear Programming Applications; 6. Summary of Progress in Related Fields; 7. Linear Programming

Cover image for Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy

Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy

126.

Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy

by

Habib, Abdulelah, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10642579

Format:

Excerpt:

framework of mixed integer linear programming. Reliability metrics increased significantly through power

Cover image for Estimation of the Risk-neutral Density Function from Option Prices

Estimation of the Risk-neutral Density Function from Option Prices

127.

Estimation of the Risk-neutral Density Function from Option Prices

by

Zhou, Sen, author. (orcid)0000-0002-4245-3935

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10745020

Format:

Excerpt:

-insensitive loss function to formulate the estimation process into a semi-infinite linear programming optimization

Cover image for Many-to-Many Survivability in Content Centric Networks

Many-to-Many Survivability in Content Centric Networks

128.

Many-to-Many Survivability in Content Centric Networks

by

Davis, Dylan A.P., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10836944

Format:

Excerpt:

programming and heuristic solutions for provisioning survivable sets of routes from any number of consumers to

Cover image for Parallelization and Scalability Analysis of the 3D Spatially Variant Lattice Algorithm

Parallelization and Scalability Analysis of the 3D Spatially Variant Lattice Algorithm

129.

Parallelization and Scalability Analysis of the 3D Spatially Variant Lattice Algorithm

by

Lopez, Henry R. Moncada, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824303

Format:

Excerpt:

programming. For the parallel code, we use the FFTW (Fastest Fourier Transform in the West) for handling the

Cover image for Optimization over Nonnegative and Convex Polynomials with and without Semidefinite Programming

Optimization over Nonnegative and Convex Polynomials with and without Semidefinite Programming

130.

Optimization over Nonnegative and Convex Polynomials with and without Semidefinite Programming

by

Hall, Georgina, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824784

Format:

Excerpt:

sequence of linear or second order cone programs generated in an adaptive fashion. We then focus on the

Cover image for Development of Interval and Non-interval Methods for Solving Multi-Objective Optimization Problems

Development of Interval and Non-interval Methods for Solving Multi-Objective Optimization Problems

131.

Development of Interval and Non-interval Methods for Solving Multi-Objective Optimization Problems

by

Liu, Sijie, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10682634

Format:

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-interval multi-objective linear programming (MOLPs) algorithms are presented in Chapter 4. Numerical examples are

Cover image for Economics of Irrigated Crop Choices Using Center Pivot System in Oklahoma Panhandle

Economics of Irrigated Crop Choices Using Center Pivot System in Oklahoma Panhandle

132.

Economics of Irrigated Crop Choices Using Center Pivot System in Oklahoma Panhandle

by

Ramaswamy, Karthik, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10193336

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Integer Linear Programming (MIP) model to obtain long term profit maximizing benefits. To compare the long

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Electronic Resources

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