Optimization Toolbox

Optimization Toolbox Product Description: Solve linear, quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides functions for finding parameters that minimize or maximize objectives while satisfying constraints. The toolbox includes solvers for linear programming, mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find optimal solutions to continuous and discrete problems, perform tradeoff analyses, and incorporate optimization methods into algorithms and applications.

References in zbMATH (referenced in 228 articles )

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  1. Costa, Giulio; Montemurro, Marco; Pailhès, Jér^ome: A general hybrid optimization strategy for curve fitting in the non-uniform rational basis spline framework (2018)
  2. Canahuire, Ruth; Serpa, Alberto Luiz: Reduced order $\Cal H_\infty$ controller design for vibration control using genetic algorithms (2017)
  3. Doltsinis, Ioannis: Plastic limit of structures and energy principles (2017)
  4. Haslinger, Jaroslav; Mäkinen, Raino A.E.; Stebel, Jan: Shape optimization for Stokes problem with threshold slip boundary conditions (2017)
  5. Hussein, M.S.; Kinash, N.; Lesnic, D.; Ivanchov, M.: Retrieving the time-dependent thermal conductivity of an orthotropic rectangular conductor (2017)
  6. Kelly, Matthew: An introduction to trajectory optimization: how to do your own direct collocation (2017)
  7. Medina, Luciano: On the existence of optical vortex solitons propagating in saturable nonlinear media (2017)
  8. Merola, Alessio; Cosentino, Carlo; Colacino, Domenico; Amato, Francesco: Optimal control of uncertain nonlinear quadratic systems (2017)
  9. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
  10. Huang, Chung-Neng; Chung, Aaron: An intelligent design for a PID controller for nonlinear systems (2016)
  11. Kreiberg, David; Söderström, Torsten; Yang-Wallentin, Fan: Errors-in-variables system identification using structural equation modeling (2016)
  12. Nedělková, Zuzana; Lindroth, Peter; Strömberg, Ann-Brith; Patriksson, Michael: Integration of expert knowledge into radial basis function surrogate models (2016)
  13. Pantha, Buddhi; Day, Judy; Lenhart, Suzanne: Optimal control applied in an anthrax epizootic model (2016)
  14. Tromme, Emmanuel; Brüls, Olivier; Duysinx, Pierre: Weakly and fully coupled methods for structural optimization of flexible mechanisms (2016)
  15. Wu, Di; Gao, Wei; Wang, Chen; Tangaramvong, Sawekchai; Tin-Loi, Francis: Robust fuzzy structural safety assessment using mathematical programming approach (2016)
  16. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  17. Andrieux, S.; Baranger, T. N.: Solution of nonlinear Cauchy problem for hyperelastic solids (2015)
  18. Asthana, Kartikey; Jameson, Antony: High-order flux reconstruction schemes with minimal dispersion and dissipation (2015)
  19. Cardoso, João R.; Ziȩtak, Krystyna: On a sub-Stiefel Procrustes problem arising in computer vision. (2015)
  20. Chleboun, Jan; Mikeš, Karel: Identification of parameters in initial value problems for ordinary differential equations. (2015)

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