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 244 articles )

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  1. Costa, Giulio; Montemurro, Marco; Pailhès, Jérôme: 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. Navarro, Maria; Le Maître, Olivier P.; Hoteit, Ibrahim; George, David L.; Mandli, Kyle T.; Knio, Omar M.: Surrogate-based parameter inference in debris flow model (2018)
  5. Pantha, Buddhi; Cross, Alan; Lenhart, Suzanne; Day, Judy: Modeling the macrophage-anthrax spore interaction: implications for early host-pathogen interactions (2018)
  6. Tait, Luke; Wedgwood, Kyle; Tsaneva-Atanasova, Krasimira; Brown, Jon T.; Goodfellow, Marc: Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells (2018)
  7. Yagci Sokat, Kezban; Dolinskaya, Irina S.; Smilowitz, Karen; Bank, Ryan: Incomplete information imputation in limited data environments with application to disaster response (2018)
  8. Yamchi, Mohammad Hosseinzadeh; Esfanjani, Reza Mahboobi: A decentralized receding horizon optimal approach to formation control of networked mobile robots (2018)
  9. Canahuire, Ruth; Serpa, Alberto Luiz: Reduced order (\mathcalH_\infty) controller design for vibration control using genetic algorithms (2017)
  10. Curato, Gianbiagio; Gatheral, Jim; Lillo, Fabrizio: Optimal execution with non-linear transient market impact (2017)
  11. Doltsinis, Ioannis: Plastic limit of structures and energy principles (2017)
  12. Essa, M. El-Sayed M.; Aboelela, Magdy A. S.; Hassan, M. A. M.: Application of fractional order controllers on experimental and simulation model of hydraulic servo system (2017)
  13. Haslinger, Jaroslav; Mäkinen, Raino A. E.; Stebel, Jan: Shape optimization for Stokes problem with threshold slip boundary conditions (2017)
  14. Hussein, M. S.; Kinash, N.; Lesnic, D.; Ivanchov, M.: Retrieving the time-dependent thermal conductivity of an orthotropic rectangular conductor (2017)
  15. Kelly, Matthew: An introduction to trajectory optimization: how to do your own direct collocation (2017)
  16. Medina, Luciano: On the existence of optical vortex solitons propagating in saturable nonlinear media (2017)
  17. Merola, Alessio; Cosentino, Carlo; Colacino, Domenico; Amato, Francesco: Optimal control of uncertain nonlinear quadratic systems (2017)
  18. Alj, Abdelkamel; Jónasson, Kristján; Mélard, Guy: The exact Gaussian likelihood estimation of time-dependent VARMA models (2016)
  19. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
  20. Huang, Chung-Neng; Chung, Aaron: An intelligent design for a PID controller for nonlinear systems (2016)

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