Libros sobre el tema "Quadratic programmin"
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Gould, N. I. M. Preprocessing for quadratic programming. Chilton: Rutherford Appleton Laboratory, 2002.
Buscar texto completoKraft, Dieter. A software package for sequential quadratic programming. Koln: DFVLR, 1988.
Buscar texto completoColeman, Thomas F. An interior Newton method for quadratic programming. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1993.
Buscar texto completoSchrage, Linus. Linear, integer, and quadratic programming with LINDO. 3a ed. Palo Alto, CA: Scientific Press, 1986.
Buscar texto completoEducation, Alberta Alberta, ed. Mathematics 30: Quadratic relations. 2a ed. [Edmonton]: Distance Learning, Alberta Education, 1991.
Buscar texto completoSchrage, Linus. Linear, integer and quadratic programming with LINDO: User's manual. 2a ed. Palo Alto, Calif: Scientific Press, 1985.
Buscar texto completoDodu, J. C. Méthodes de quasi-Newton en optimisation non linéaire. Clamart: Electricité de France, Direction des études et recherches, Service études de réseaux, Département Méthodes d'optimisation et de simulation, 1990.
Buscar texto completoservice), SpringerLink (Online, ed. Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities. Boston, MA: Springer-Verlag US, 2009.
Buscar texto completoden Hertog, D. Interior Point Approach to Linear, Quadratic and Convex Programming. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1134-8.
Texto completoGould, N. I. M. Numerical methods for large-scale non-convex quadratic programming. Chilton: Rutherford Appleton Laboratory, 2001.
Buscar texto completoAxehill, Daniel. Applications of integer quadratic programming in control and communication. Linko ping: Dept. of Electrical Engineering, Linko ping University, 2005.
Buscar texto completoMachielsen, K. C. P. Numerial solution of optimal control problems with state constraints by sequential quadratic programming in function space. Amsterdam, The Netherlands: Centrum voor Wiskunde en Informatica, 1988.
Buscar texto completoW, Longman Richard y Langley Research Center, eds. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Buscar texto completoW, Longman Richard y Langley Research Center, eds. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Buscar texto completoInstitute for Computer Applications in Science and Engineering., ed. An interior point algorithm for the general nonlinear programming problem with trust region globalization. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.
Buscar texto completoGurwitz, Chaya Bleich. Sequential quadratic programming methods based on approximating a projected Hessian matrix. New York: Courant Institute of Mathematical Sciences, New York University, 1986.
Buscar texto completoZaghloul, Fathia. A comparative analysis of some methods for solving quadratic programming problems. Cairo: Salah Salem St-Nasr Ctty, 1988.
Buscar texto completoHertog, D. den. Interior point approach to linear, quadratic, and convex programming: Algorithms and complexity. Dordrecht: Kluwer Academic Publishers, 1994.
Buscar texto completoMachielsen, K. C. P. Numerical solution of optimal control problems with state constraints by sequential quadratic programming function space. Amsterdam: Centrum voor Wiskunde en Informatica, 1988.
Buscar texto completoSchrage, Linus. User's manual for linear, integer and quadratic programming with LINDO release 5.0. San Francisco: Scientific Press, 1991.
Buscar texto completoHertog, D. Interior Point Approach to Linear, Quadratic and Convex Programming: Algorithms and Complexity. Dordrecht: Springer Netherlands, 1994.
Buscar texto completoPatnaik, Surya N. Structural optimization with approximate sensitivities. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.
Buscar texto completoN, Patnaik Surya y United States. National Aeronautics and Space Administration., eds. Comparative evaluation of different optimization algorithms for structural design applications. [Washington, DC: National Aeronautics and Space Administration, 1996.
Buscar texto completoA, Gabriele Gary y United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. An investigation of new methods for estimating parameter sensitivities. [Washington, D.C.?]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.
Buscar texto completoA, Gabriele Gary y United States. National Aeronautics and Space Administration., eds. An investigation of new methods for estimating parameter sensitivities. Troy, N.Y: Dept. of Mechanical Engineering, Aeronautical Engineering & Mechanics, Rensselaer Polytechnic Institute, 1988.
Buscar texto completoLefkoff, Lawrence J. AQMAN: Linear and quadratic programming matrix generator using two-dimensional ground-water flow simulation for aquifer management modeling. Menlo Park, Calif: Dept. of the Interior, U.S. Geological Survey, 1987.
Buscar texto completoMachielsen, Kees Caspert Peter. Numerical Solution of Optimal Control Problems with State Constraints by Sequential Quadratic Programming in Function Space: Proefschrift. Helmond: Dissertatiedrukkerij Wibro, 1987.
Buscar texto completoL, Simon Donald y NASA Glenn Research Center, eds. Kalman filtering with inequality constraints for turbofan engine health estimation. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.
Buscar texto completoJ, Swetits John y United States. National Aeronautics and Space Administration., eds. Automation of reverse engineering process in aircraft modeling and related optimization problems: Progress report for the period ended December 1994. Norfolk, VA: Old Dominion Research Foundation, 1994.
Buscar texto completoNorman, D. DBase III plus programmes for estimating plant populations and yields from plot quadrat data. Gabarone: Agricultural Technology Improvement Project, 1990.
Buscar texto completoArian, Eyal. Approximation of the Newton step by a defect correction process. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Buscar texto completoA, Batterman, Sachs E. W y Institute for Computer Applications in Science and Engineering., eds. Approximation of the Newton step by a defect correction process. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Buscar texto completoA, Batterman, Sachs E. W y Institute for Computer Applications in Science and Engineering., eds. Approximation of the Newton step by a defect correction process. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Buscar texto completoservice), SpringerLink (Online, ed. Linear-Quadratic Controls in Risk-Averse Decision Making: Performance-Measure Statistics and Control Decision Optimization. New York, NY: Springer New York, 2013.
Buscar texto completo1957-, Bonnans J. F., ed. Numerical optimization: Theoretical and practical aspects. Berlin: Springer, 2003.
Buscar texto completoOptimal Quadratic Programming Algorithms. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/b138610.
Texto completoBest, Michael J. Quadratic Programming with Computer Programs. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315120881.
Texto completoQuadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Buscar texto completoBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Buscar texto completoQuadratic Programming with Computer Programs. Taylor & Francis Group, 2023.
Buscar texto completoBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Buscar texto completoBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Buscar texto completoBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Buscar texto completoQuadratic Programming and Affine Variational Inequalities. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b105061.
Texto completoLindo: Linear, Integer, and Quadratic Programming. Course Technology, 1998.
Buscar texto completoSchrage, Linus. LINDO (Linear, Integer and Quadratic Programming). 4a ed. The Scientific Press, 1989.
Buscar texto completoAl-Saket, Amal Hikmat. An algorithm with degeneracy resolution for solving certain quadratic programming problems. 1985.
Buscar texto completoSchrage, Linus. User's Manual for Linear, Integer, & Quadratic Programming with Lindo. 3a ed. Course Technology, 1986.
Buscar texto completoQuadratic Programming and Affine Variational Inequalities: A Qualitative Study. Springer London, Limited, 2005.
Buscar texto completoOptimal Quadratic Programming Algorithms Springer Optimization and Its Applications. Springer, 2010.
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