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linprog

linprog: Linear Programming / Optimization. This package can be used to solve Linear Programming / Linear Optimization problems by using the simplex algorithm.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

  • soft constraints
  • generalized scenarios
  • risk measurement
  • UI layout
  • linear programming
  • nonlinear parameter optimization
  • computer language (\mathbbR)
  • linear inequalities
  • nonlinear programming
  • cones
  • non-square matrices
  • tail-value-at-risk
  • worst case scenario
  • user interface (UI) layout
  • random pivot assignment
  • convergence
  • linear relaxation
  • mathematical optimization
  • value-at-risk
  • algorithm
  • exponential premium
  • Hildreth’s algorithm
  • optimization algorithms
  • deterministic pivot assignment

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Arne Henningsen
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Jamil, Noreen; Müller, Johannes; Naeem, M. Asif; Lutteroth, Christof; Weber, Gerald: Extending linear relaxation for non-square matrices and soft constraints (2016)
  2. Jamil, Noreen; Chen, Xuemei; Cloninger, Alexander: Hildreth’s algorithm with applications to soft constraints for user interface layout (2015)
  3. Nash, John C.: Nonlinear parameter optimization using R tools (2014)
  4. Goovaerts, Marc J.; Kaas, Rob; Laeven, Roger J. A.: Worst case risk measurement: back to the future? (2011)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 65 Numerical analysis
      • 68 Computer science
      • 90 Optimization
      • 91 Game theory, economics,...

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