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linear programming-based solver cplex  (ILOG Inc)

 
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    ILOG Inc linear programming-based solver cplex
    Linear Programming Based Solver Cplex, supplied by ILOG Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/linear+programming+cplex/cplex+solver/pmc01766399-97-59-62
    Average 90 stars, based on 1 article reviews
    linear programming-based solver cplex - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Software:

    Article Title: Concisely expressed combinatorial auction problem solving method
    Article Snippet: It would, therefore, be desirable to utilize conventional optimizing software, such as an integer program (IP) or mixed integer program (MIP) optimization software, such as the well known CPLEX optimizer available from ILOG, Inc., 1080 Linda Vista Avenue, Mountainview, Calif. 94043, to determine an optimal allocation of goods to bids without the need to construct neighboring allocations. .. It would, therefore, be desirable to utilize conventional optimizing software, such as an integer program (IP) or mixed integer program (MIP) optimization software, such as the well known CPLEX optimizer available from ILOG, Inc., 1080 Linda Vista Avenue, Mountainview, Calif. 94043, to determine an optimal allocation of goods to bids without the need to construct neighboring allocations. ..

    Article Title: System and method for conducting combinatorial exchanges
    Article Snippet: Details regarding the MOSEK optimizer, and otherlike optimizing software are well known to those skilled in the art. .. In addition, various optimizing software, such as an integer program (IP) or mixed integer program (MIP) optimization software are available, such as the well known CPLEX optimizer available from ILOG, Inc., 1080 Linda Vista Avenue, Mountainview, Calif. 94043, and the MOSEK optimizer from MOSEK ApS C/O Symbion Science Park Fruebjergvej 3, Box 16 2100 Copenhagen Denmark. ..

    Article Title: Calculating an amount of enterprise resource to be assigned based on received parameters
    Article Snippet: .. For example, the modeling software 106 can be an Optimization Programming Language (OPL) modeling software provided by ILOG, Inc.; and the solver 108 can be the CPLEX solver from ILOG. ..

    Construct:

    Article Title: Concisely expressed combinatorial auction problem solving method
    Article Snippet: It would, therefore, be desirable to utilize conventional optimizing software, such as an integer program (IP) or mixed integer program (MIP) optimization software, such as the well known CPLEX optimizer available from ILOG, Inc., 1080 Linda Vista Avenue, Mountainview, Calif. 94043, to determine an optimal allocation of goods to bids without the need to construct neighboring allocations. .. It would, therefore, be desirable to utilize conventional optimizing software, such as an integer program (IP) or mixed integer program (MIP) optimization software, such as the well known CPLEX optimizer available from ILOG, Inc., 1080 Linda Vista Avenue, Mountainview, Calif. 94043, to determine an optimal allocation of goods to bids without the need to construct neighboring allocations. ..

    other:

    Article Title: Determination method, exposure method and storage medium
    Article Snippet: The mixed integer programming problem can easily be solved using a commercially available solver such as CPLEX developed by ILOG, Inc. More specifically, inputting, into the solver, expression (1) as an objective function for minimization, and expressions (2) to (9) as constraints and boundary conditions, makes it possible to obtain a solution which minimizes the variable t presented in expression (1), among combinations of the variables which simultaneously satisfy the conditions presented in expressions (2) to (9).

    Article Title: Designing minimum total cost networks using iterative rounding approximation methods
    Article Snippet: Such a solution may be obtained by using an LP-solver such as the CPLEX® solver provided by ILOG, Inc. of Sunnyvale, Calif., USA.



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    linear programming cplex  (ILOG Inc)
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    The running time for both the <t>PSAMM</t> overall function (blue) and the PSAMM problem-solving steps (red) were calculated, and the running time for COBRA only included the problem-solving step (green). Each value represents a median of seven simulation runs using the same specifications, and the error bars indicate the 25th and the 75th percentiles.
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    linear programming-based solver cplex  (ILOG Inc)
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    The running time for both the <t>PSAMM</t> overall function (blue) and the PSAMM problem-solving steps (red) were calculated, and the running time for COBRA only included the problem-solving step (green). Each value represents a median of seven simulation runs using the same specifications, and the error bars indicate the 25th and the 75th percentiles.
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    Image Search Results


    The running time for both the PSAMM overall function (blue) and the PSAMM problem-solving steps (red) were calculated, and the running time for COBRA only included the problem-solving step (green). Each value represents a median of seven simulation runs using the same specifications, and the error bars indicate the 25th and the 75th percentiles.

    Journal: PLoS Computational Biology

    Article Title: PSAMM: A Portable System for the Analysis of Metabolic Models

    doi: 10.1371/journal.pcbi.1004732

    Figure Lengend Snippet: The running time for both the PSAMM overall function (blue) and the PSAMM problem-solving steps (red) were calculated, and the running time for COBRA only included the problem-solving step (green). Each value represents a median of seven simulation runs using the same specifications, and the error bars indicate the 25th and the 75th percentiles.

    Article Snippet: The simulations were carried out on the model iJO1366 [ ] with the Cplex linear programming solver for PSAMM (version 0.17) and COBRA (version 12.6, IBM academic release for PSAMM and TOMLAB release for COBRA), and with the MOSEK solver for RAVEN (version 7.1.0.36).

    Techniques: Combined Bisulfite Restriction Analysis Assay

    The five main components include: (1) user interface, (2) model input/output, (3) model representation, (4) linear programming utilities, and (5) model checking/simulation. Connections among these components form the internal workflow of PSAMM.

    Journal: PLoS Computational Biology

    Article Title: PSAMM: A Portable System for the Analysis of Metabolic Models

    doi: 10.1371/journal.pcbi.1004732

    Figure Lengend Snippet: The five main components include: (1) user interface, (2) model input/output, (3) model representation, (4) linear programming utilities, and (5) model checking/simulation. Connections among these components form the internal workflow of PSAMM.

    Article Snippet: The simulations were carried out on the model iJO1366 [ ] with the Cplex linear programming solver for PSAMM (version 0.17) and COBRA (version 12.6, IBM academic release for PSAMM and TOMLAB release for COBRA), and with the MOSEK solver for RAVEN (version 7.1.0.36).

    Techniques:

    List of commands supported in the psamm-model program. Additional parameters can be specified for the commands, for example to select a specific implementation among multiple algorithms, enable/disable thermodynamic constraints, or select linear programming solvers, etc . Details about these parameters are available through the -h or -- help options for each command.

    Journal: PLoS Computational Biology

    Article Title: PSAMM: A Portable System for the Analysis of Metabolic Models

    doi: 10.1371/journal.pcbi.1004732

    Figure Lengend Snippet: List of commands supported in the psamm-model program. Additional parameters can be specified for the commands, for example to select a specific implementation among multiple algorithms, enable/disable thermodynamic constraints, or select linear programming solvers, etc . Details about these parameters are available through the -h or -- help options for each command.

    Article Snippet: The simulations were carried out on the model iJO1366 [ ] with the Cplex linear programming solver for PSAMM (version 0.17) and COBRA (version 12.6, IBM academic release for PSAMM and TOMLAB release for COBRA), and with the MOSEK solver for RAVEN (version 7.1.0.36).

    Techniques:

    (a) This diagram shows an example of the YAML model format, which includes a central model definition (model.yaml) and multiple annotation files. Each box indicates a file with a possible filename indicated above the box, and the text within is a snapshot of the file content. (b) An example showing how changes can be tracked in a PSAMM YAML file (biomass.yaml) using the Git version control system in command line. The text highlighted in red indicates the stoichiometry of the compound arg-L in an old version of the biomass function, while the text highlighted in green indicates the updated value in a new version of the model. Additional examples of applying Git version control on the YAML format are provided in the supplemental materials ( – Texts).

    Journal: PLoS Computational Biology

    Article Title: PSAMM: A Portable System for the Analysis of Metabolic Models

    doi: 10.1371/journal.pcbi.1004732

    Figure Lengend Snippet: (a) This diagram shows an example of the YAML model format, which includes a central model definition (model.yaml) and multiple annotation files. Each box indicates a file with a possible filename indicated above the box, and the text within is a snapshot of the file content. (b) An example showing how changes can be tracked in a PSAMM YAML file (biomass.yaml) using the Git version control system in command line. The text highlighted in red indicates the stoichiometry of the compound arg-L in an old version of the biomass function, while the text highlighted in green indicates the updated value in a new version of the model. Additional examples of applying Git version control on the YAML format are provided in the supplemental materials ( – Texts).

    Article Snippet: The simulations were carried out on the model iJO1366 [ ] with the Cplex linear programming solver for PSAMM (version 0.17) and COBRA (version 12.6, IBM academic release for PSAMM and TOMLAB release for COBRA), and with the MOSEK solver for RAVEN (version 7.1.0.36).

    Techniques: Control