Optimization in MATLAB: An Introduction to Quadratic Program

Files used in "An Introduction to Quadratic Programming" Webinar

Version 1.8.0 (102 ko)
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23 avr. 2021

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A control strategy for optimal operation of a hydroelectric dam is found through nonlinear and quadratic programming techniques. We use symbolic math to formulate an original model of the hydroelectric dam and then optimize the operation schedule using FMINCON. We then show how improvements can be made to the optimization process and end up with a quadratic programming problem that can be solved efficiently using the large-scale "interior-point-convex" algorithm with the QUADPROG solver.
These files go along with the "An Introduction to Quadratic Programming" webinar, which can be found here: http://www.mathworks.com/videos/optimization-in-matlab-an-introduction-to-quadratic-programming-81868.html

Citation pour cette source

Seth DeLand (2026). Optimization in MATLAB: An Introduction to Quadratic Program (https://fr.mathworks.com/matlabcentral/fileexchange/35856-optimization-in-matlab-an-introduction-to-quadratic-program), MATLAB Central File Exchange. Extrait(e) le .

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En savoir plus sur Quadratic Programming and Cone Programming dans Help Center et MATLAB Answers

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec les versions R2011b et ultérieures

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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Version Publié le Notes de version
1.8.0

Added a live script HydroelectricDamOptimization_ProblemBased.mlx that uses the new problem-based framework to make setting up the optimization problem much cleaner.
1.7.0.1

Updated license
Updated use of "sym" to clarify that variables are 'real'.
1.7.0.0

Updated 3 files with copyright information
1.0.0.0