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 233 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. De Vincenzo, Ilario; Massari, Giovanni F.; Giannoccaro, Ilaria; Carbone, Giuseppe; Grigolini, Paolo: Mimicking the collective intelligence of human groups as an optimization tool for complex problems (2018)
  3. Kumar, G. Naresh; Ikram, Mohammad; Sarkar, A. K.; Talole, S. E.: Hypersonic flight vehicle trajectory optimization using pattern search algorithm (2018)
  4. Yagci Sokat, Kezban; Dolinskaya, Irina S.; Smilowitz, Karen; Bank, Ryan: Incomplete information imputation in limited data environments with application to disaster response (2018)
  5. Yamchi, Mohammad Hosseinzadeh; Esfanjani, Reza Mahboobi: A decentralized receding horizon optimal approach to formation control of networked mobile robots (2018)
  6. Canahuire, Ruth; Serpa, Alberto Luiz: Reduced order $\Cal H_\infty$ controller design for vibration control using genetic algorithms (2017)
  7. Doltsinis, Ioannis: Plastic limit of structures and energy principles (2017)
  8. Haslinger, Jaroslav; Mäkinen, Raino A. E.; Stebel, Jan: Shape optimization for Stokes problem with threshold slip boundary conditions (2017)
  9. Hussein, M. S.; Kinash, N.; Lesnic, D.; Ivanchov, M.: Retrieving the time-dependent thermal conductivity of an orthotropic rectangular conductor (2017)
  10. Kelly, Matthew: An introduction to trajectory optimization: how to do your own direct collocation (2017)
  11. Medina, Luciano: On the existence of optical vortex solitons propagating in saturable nonlinear media (2017)
  12. Merola, Alessio; Cosentino, Carlo; Colacino, Domenico; Amato, Francesco: Optimal control of uncertain nonlinear quadratic systems (2017)
  13. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
  14. Huang, Chung-Neng; Chung, Aaron: An intelligent design for a PID controller for nonlinear systems (2016)
  15. Kreiberg, David; Söderström, Torsten; Yang-Wallentin, Fan: Errors-in-variables system identification using structural equation modeling (2016)
  16. Nedělková, Zuzana; Lindroth, Peter; Strömberg, Ann-Brith; Patriksson, Michael: Integration of expert knowledge into radial basis function surrogate models (2016)
  17. Pantha, Buddhi; Day, Judy; Lenhart, Suzanne: Optimal control applied in an anthrax epizootic model (2016)
  18. Tromme, Emmanuel; Brüls, Olivier; Duysinx, Pierre: Weakly and fully coupled methods for structural optimization of flexible mechanisms (2016)
  19. Wang, Zi-Peng; Wu, Huai-Ning: Finite dimensional guaranteed cost sampled-data fuzzy control for a class of nonlinear distributed parameter systems (2016)
  20. Wu, Di; Gao, Wei; Wang, Chen; Tangaramvong, Sawekchai; Tin-Loi, Francis: Robust fuzzy structural safety assessment using mathematical programming approach (2016)

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