Mosek

MOSEK is a tool for solving mathematical optimization problems. Some examples of problems MOSEK can solve are linear programs, quadratic programs, conic problems and mixed integer problems. Such problems occurs frequently in Financial applications e.g. portfolio management, Supply chain management, Analog chip design, Forestry and farming, Medical and hospital management, Power supply and network planning, Logistics, TV commercial scheduling, Structural engineering. Due the strengths of the linear and conic optimizers in MOSEK, then MOSEK is currently employed widely in the financial industry. MOSEK has also been employed extensively in energy and forestry industry due to its powerful interior-point optimizer.


References in zbMATH (referenced in 393 articles )

Showing results 321 to 340 of 393.
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  1. Ketabchi, Saeed; Salahi, Maziar: Correcting inconsistency in linear inequalities by minimal change in the right hand side vector (2009)
  2. Le, Canh V.; Gilbert, Matthew; Askes, Harm: Limit analysis of plates using the EFG method and second-order cone programming (2009)
  3. Luss, Ronny; d’Aspremont, Alexandre: Support vector machine classification with indefinite kernels (2009)
  4. Muñoz, J. J.; Bonet, J.; Huerta, A.; Peraire, J.: Upper and lower bounds in limit analysis: Adaptive meshing strategies and discontinuous loading (2009)
  5. Neitzel, Ira; Prüfert, Uwe; Slawig, Thomas: Strategies for time-dependent PDE control with inequality constraints using an integrated modeling and simulation environment (2009)
  6. Prüfert, Uwe; Schiela, Anton: The minimization of a maximum-norm functional subject to an elliptic PDE and state constraints (2009)
  7. Raithatha, A.; Duncan, S. R.: Rigid plastic model of incremental sheet deformation using second-order cone programming (2009)
  8. Salahi, Maziar: Nonnegative ill-conditioned linear systems and GMRES method (2009)
  9. Salahi, Maziar; Terlaky, Tamás: A hybrid adaptive algorithm for linear optimization (2009)
  10. Belotti, Pietro; Pınar, Mustafa ç.: Optimal oblivious routing under linear and ellipsoidal uncertainty (2008)
  11. Bourke, Chris; Deng, Kun; Scott, Stephen D.; Schapire, Robert E.; Vinodchandran, N. V.: On reoptimizing multi-class classifiers (2008) ioport
  12. Cariou, Sophie; Ulm, Franz-Josef; Dormieux, Luc: Hardness-packing density scaling relations for cohesive-frictional porous materials (2008)
  13. Derenick, Jason C.; Mansley, Christopher R.; Spletzer, John R.: Efficient motion planning strategies for large-scale sensor networks (2008)
  14. El Karoui, Noureddine: Spectrum estimation for large dimensional covariance matrices using random matrix theory (2008)
  15. Fampa, Marcia; Anstreicher, Kurt M.: An improved algorithm for computing Steiner minimal trees in Euclidean (d)-space (2008)
  16. Füssl, J.; Lackner, R.; Eberhardsteiner, J.; Mang, H. A.: Failure modes and effective strength of two-phase materials determined by means of numerical limit analysis (2008)
  17. Kunis, Stefan; Rauhut, Holger: Random sampling of sparse trigonometric polynomials. II: Orthogonal matching pursuit versus basis pursuit (2008)
  18. Makrodimopoulos, A.; Martin, C. M.: Upper bound limit analysis using discontinuous quadratic displacement fields (2008)
  19. Pınar, Mustafa Ç.: Sharpe-ratio pricing and hedging of contingent claims in incomplete markets by convex programming (2008)
  20. Setzer, S.; Steidl, G.; Teuber, T.: Restoration of images with rotated shapes (2008)

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