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 )

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  1. Koenker, Roger; Mizera, Ivan: Quasi-concave density estimation (2010)
  2. Kumar, M. Arun; Gopal, M.: A hybrid SVM based decision tree (2010)
  3. Le, Canh V.; Askes, Harm; Gilbert, Matthew: Adaptive element-free Galerkin method applied to the limit analysis of plates (2010)
  4. Makrodimopoulos, Athanasios; Bhaskar, Atul; Keane, Andy J.: Second-order cone programming formulations for a class of problems in structural optimization (2010)
  5. Rezanova, Natalia J.; Ryan, David M.: The train driver recovery problem-a set partitioning based model and solution method (2010)
  6. Salahi, M.: New barrier parameter updating technique in Mehrotra-type algorithm (2010)
  7. Salahi, Maziar: Convex optimization approach to a single quadratically constrained quadratic minimization problem (2010)
  8. Salahi, Maziar: Robust least squares solution of linear inequalities (2010)
  9. Salahi, M.; Ketabchi, S.: Correcting an inconsistent set of linear inequalities by the generalized Newton method (2010)
  10. Scutellà, Maria Grazia; Recchia, Raffaella: Robust portfolio asset allocation and risk measures (2010)
  11. Setzer, S.; Steidl, G.; Teuber, T.; Moerkotte, G.: Approximation related to quotient functionals (2010)
  12. Souloumiac, Pauline; Krabbenhøft, Kristian; Leroy, Yves M.; Maillot, Bertrand: Failure in accretionary wedges with the maximum strength theorem: numerical algorithm and 2D validation (2010)
  13. Terazono, Yasushi; Fujimaki, Norio; Murata, Tsutomu; Matani, Ayumu: Point source reconstruction principle of linear inverse problems (2010)
  14. Yu, Shi; Falck, Tillmann; Daemen, Anneleen; Tranchevent, Léon-Charles; Suykens, Johan A. K.; De Moor, Bart; Moreau, Yves: L2-norm multiple kernel learning and its application to biomedical data fusion (2010) ioport
  15. Yu, Shi; Tranchevent, Léon-Charles; De Moor, Bart; Moreau, Yves: Gene prioritization and clustering by multi-view text mining (2010) ioport
  16. Achterberg, Tobias: SCIP: solving constraint integer programs (2009)
  17. Böhringer, Christoph; Rutherford, Thomos F.: Integrated assessment of energy policies: decomposing top-down and bottom-up (2009)
  18. Canale, M.; Fagiano, L.; Milanese, M.: Set membership approximation theory for fast implementation of model predictive control laws (2009)
  19. Derenick, Jason; Spletzer, John; Hsieh, Ani: An optimal approach to collaborative target tracking with performance guarantees (2009)
  20. Garanzha, V. A.; Golikov, A. I.; Evtushenko, Yu. G.; Nguen, M. Kh.: Parallel implementation of Newton’s method for solving large scale linear programs (2009)

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