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 253 articles )

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  1. Di Mauro, G.; Spiller, D.; Bevilacqua, R.; D’Amico, S.: Spacecraft formation flying reconfiguration with extended and impulsive maneuvers (2019)
  2. Gratton, S.; Royer, C. W.; Vicente, L. N.; Zhang, Z.: Direct search based on probabilistic feasible descent for bound and linearly constrained problems (2019)
  3. Ji, Hangjie; Li, Longfei: Numerical methods for thermally stressed shallow shell equations (2019)
  4. Otmani, S. El; Rhin, G.; Sac-Épée, Jean-Marc: Finding new limit points of Mahler’s measure by genetic algorithms (2019)
  5. Tyler, Jonathan; Shiu, Anne; Walton, Jay: Revisiting a synthetic intracellular regulatory network that exhibits oscillations (2019)
  6. Wu, Qiong; Wang, Jin-He; Zhang, Hong-Wei; Wang, Shuang; Pang, Li-Ping: Nonsmooth optimization method for (H_\infty) output feedback control (2019)
  7. Costa, Giulio; Montemurro, Marco; Pailhès, Jérôme: A general hybrid optimization strategy for curve fitting in the non-uniform rational basis spline framework (2018)
  8. 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)
  9. Gabelaia, A.: On the adjustment of Arrow-Hurwitz model in the frame of Walras general equilibrium theory (2018)
  10. Kumar, G. Naresh; Ikram, Mohammad; Sarkar, A. K.; Talole, S. E.: Hypersonic flight vehicle trajectory optimization using pattern search algorithm (2018)
  11. 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)
  12. Pantha, Buddhi; Cross, Alan; Lenhart, Suzanne; Day, Judy: Modeling the macrophage-anthrax spore interaction: implications for early host-pathogen interactions (2018)
  13. 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)
  14. Yagci Sokat, Kezban; Dolinskaya, Irina S.; Smilowitz, Karen; Bank, Ryan: Incomplete information imputation in limited data environments with application to disaster response (2018)
  15. Yamchi, Mohammad Hosseinzadeh; Esfanjani, Reza Mahboobi: A decentralized receding horizon optimal approach to formation control of networked mobile robots (2018)
  16. Yan, Tianshun; Zhao, Yanyong; Luo, Shuanghua: Estimation for a second-order jump diffusion model from discrete observations: application to stock market returns (2018)
  17. Canahuire, Ruth; Serpa, Alberto Luiz: Reduced order (\mathcalH_\infty) controller design for vibration control using genetic algorithms (2017)
  18. Curato, Gianbiagio; Gatheral, Jim; Lillo, Fabrizio: Optimal execution with non-linear transient market impact (2017)
  19. Doltsinis, Ioannis: Plastic limit of structures and energy principles (2017)
  20. 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)

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