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 293 articles )

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  1. Alosaimi, M.; Lesnic, D.; Niesen, J.: Determination of the thermo-physical properties of multi-layered biological tissues (2021)
  2. Anup Teejo Mathew, Ikhlas Ben Hmida, Costanza Armanini, Frederic Boyer, Federico Renda: SoRoSim: a MATLAB Toolbox for Soft Robotics Based on the Geometric Variable-strain Approach (2021) arXiv
  3. Huntul, M. J.: Identification of the timewise thermal conductivity in a 2D heat equation from local heat flux conditions (2021)
  4. Medina, Luciano: Localized optical vortex solitons in pair plasmas (2021)
  5. Pelliciari, Matteo; Tarantino, Angelo Marcello: Equilibrium and stability of anisotropic hyperelastic graphene membranes (2021)
  6. Rogov, Kirill; Pogromsky, Alexander; Steur, Erik; Michiels, Wim; Nijmeijer, Henk: Detecting coexisting oscillatory patterns in delay coupled Lur’e systems (2021)
  7. Andersen, Tobias S.; Winther, Ole: Regularized models of audiovisual integration of speech with predictive power for sparse behavioral data (2020)
  8. Audoux, Yohann; Montemurro, Marco; Pailhès, Jérôme: Non-uniform rational basis spline hyper-surfaces for metamodelling (2020)
  9. Bartholomew-Biggs, Michael; Beddiaf, Salah; Christianson, Bruce: A comparison of methods for traversing regions of non-convexity in optimization problems (2020)
  10. Chen, Yuan; Voskov, Denis: Optimization of (\mathrmCO_2) injection using multi-scale reconstruction of composition transport (2020)
  11. Cocchi, Guido; Levato, Tommaso; Liuzzi, Giampaolo; Sciandrone, Marco: A concave optimization-based approach for sparse multiobjective programming (2020)
  12. Floryan, Daniel; Rowley, Clarence W.: Distributed flexibility in inertial swimmers (2020)
  13. Gehlot, Hemant; Honnappa, Harsha; Ukkusuri, Satish V.: An optimal control approach to day-to-day congestion pricing for stochastic transportation networks (2020)
  14. Gu, Da-Ke; Zhang, Da-Wei: Parametric control to quasi-linear systems based on dynamic compensator and multi-objective optimization. (2020)
  15. Iannelli, Andrea; Lowenberg, Mark; Marcos, Andrés: Computation of bifurcation margins based on robust control concepts (2020)
  16. Pantha, Buddhi; Day, Judy; Lenhart, Suzanne: Investigating the effects of intervention strategies in a spatio-temporal anthrax model (2020)
  17. Ran, Chunjiang; Yang, Haitian: An efficient numerical method to solve 2-D interval bi-modular problems via orthogonal polynomial expansion (2020)
  18. Siu, Chun Yin; Chan, Hei Long; Lui, Ronald Lok Ming: Image segmentation with partial convexity shape prior using discrete conformality structures (2020)
  19. Stîngă, Florin; Marian, Marius; Selişteanu, Dan: Robust estimation-based control strategies for induction motors (2020)
  20. Xiao, Shiguo; Xia, Pan: Variational calculus method for passive earth pressure on rigid retaining walls with strip surcharge on backfills (2020)

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