Bücher zum Thema „Quadratic programmin“
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Gould, N. I. M. Preprocessing for quadratic programming. Chilton: Rutherford Appleton Laboratory, 2002.
Den vollen Inhalt der Quelle findenKraft, Dieter. A software package for sequential quadratic programming. Koln: DFVLR, 1988.
Den vollen Inhalt der Quelle findenColeman, Thomas F. An interior Newton method for quadratic programming. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1993.
Den vollen Inhalt der Quelle findenSchrage, Linus. Linear, integer, and quadratic programming with LINDO. 3. Aufl. Palo Alto, CA: Scientific Press, 1986.
Den vollen Inhalt der Quelle findenEducation, Alberta Alberta, Hrsg. Mathematics 30: Quadratic relations. 2. Aufl. [Edmonton]: Distance Learning, Alberta Education, 1991.
Den vollen Inhalt der Quelle findenSchrage, Linus. Linear, integer and quadratic programming with LINDO: User's manual. 2. Aufl. Palo Alto, Calif: Scientific Press, 1985.
Den vollen Inhalt der Quelle findenDodu, 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.
Den vollen Inhalt der Quelle findenservice), SpringerLink (Online, Hrsg. Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities. Boston, MA: Springer-Verlag US, 2009.
Den vollen Inhalt der Quelle findenden 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.
Der volle Inhalt der QuelleGould, N. I. M. Numerical methods for large-scale non-convex quadratic programming. Chilton: Rutherford Appleton Laboratory, 2001.
Den vollen Inhalt der Quelle findenAxehill, Daniel. Applications of integer quadratic programming in control and communication. Linko ping: Dept. of Electrical Engineering, Linko ping University, 2005.
Den vollen Inhalt der Quelle findenMachielsen, 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.
Den vollen Inhalt der Quelle findenW, Longman Richard, und Langley Research Center, Hrsg. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Den vollen Inhalt der Quelle findenW, Longman Richard, und Langley Research Center, Hrsg. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Den vollen Inhalt der Quelle findenInstitute for Computer Applications in Science and Engineering., Hrsg. 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.
Den vollen Inhalt der Quelle findenGurwitz, Chaya Bleich. Sequential quadratic programming methods based on approximating a projected Hessian matrix. New York: Courant Institute of Mathematical Sciences, New York University, 1986.
Den vollen Inhalt der Quelle findenZaghloul, Fathia. A comparative analysis of some methods for solving quadratic programming problems. Cairo: Salah Salem St-Nasr Ctty, 1988.
Den vollen Inhalt der Quelle findenHertog, D. den. Interior point approach to linear, quadratic, and convex programming: Algorithms and complexity. Dordrecht: Kluwer Academic Publishers, 1994.
Den vollen Inhalt der Quelle findenMachielsen, 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.
Den vollen Inhalt der Quelle findenSchrage, Linus. User's manual for linear, integer and quadratic programming with LINDO release 5.0. San Francisco: Scientific Press, 1991.
Den vollen Inhalt der Quelle findenHertog, D. Interior Point Approach to Linear, Quadratic and Convex Programming: Algorithms and Complexity. Dordrecht: Springer Netherlands, 1994.
Den vollen Inhalt der Quelle findenPatnaik, Surya N. Structural optimization with approximate sensitivities. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.
Den vollen Inhalt der Quelle findenN, Patnaik Surya, und United States. National Aeronautics and Space Administration., Hrsg. Comparative evaluation of different optimization algorithms for structural design applications. [Washington, DC: National Aeronautics and Space Administration, 1996.
Den vollen Inhalt der Quelle findenA, Gabriele Gary, und United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., Hrsg. 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.
Den vollen Inhalt der Quelle findenA, Gabriele Gary, und United States. National Aeronautics and Space Administration., Hrsg. An investigation of new methods for estimating parameter sensitivities. Troy, N.Y: Dept. of Mechanical Engineering, Aeronautical Engineering & Mechanics, Rensselaer Polytechnic Institute, 1988.
Den vollen Inhalt der Quelle findenLefkoff, 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.
Den vollen Inhalt der Quelle findenMachielsen, Kees Caspert Peter. Numerical Solution of Optimal Control Problems with State Constraints by Sequential Quadratic Programming in Function Space: Proefschrift. Helmond: Dissertatiedrukkerij Wibro, 1987.
Den vollen Inhalt der Quelle findenL, Simon Donald, und NASA Glenn Research Center, Hrsg. Kalman filtering with inequality constraints for turbofan engine health estimation. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.
Den vollen Inhalt der Quelle findenJ, Swetits John, und United States. National Aeronautics and Space Administration., Hrsg. 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.
Den vollen Inhalt der Quelle findenNorman, D. DBase III plus programmes for estimating plant populations and yields from plot quadrat data. Gabarone: Agricultural Technology Improvement Project, 1990.
Den vollen Inhalt der Quelle findenArian, 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.
Den vollen Inhalt der Quelle findenA, Batterman, Sachs E. W und Institute for Computer Applications in Science and Engineering., Hrsg. 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.
Den vollen Inhalt der Quelle findenA, Batterman, Sachs E. W und Institute for Computer Applications in Science and Engineering., Hrsg. 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.
Den vollen Inhalt der Quelle findenservice), SpringerLink (Online, Hrsg. Linear-Quadratic Controls in Risk-Averse Decision Making: Performance-Measure Statistics and Control Decision Optimization. New York, NY: Springer New York, 2013.
Den vollen Inhalt der Quelle finden1957-, Bonnans J. F., Hrsg. Numerical optimization: Theoretical and practical aspects. Berlin: Springer, 2003.
Den vollen Inhalt der Quelle findenOptimal Quadratic Programming Algorithms. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/b138610.
Der volle Inhalt der QuelleBest, Michael J. Quadratic Programming with Computer Programs. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315120881.
Der volle Inhalt der QuelleQuadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenQuadratic Programming with Computer Programs. Taylor & Francis Group, 2023.
Den vollen Inhalt der Quelle findenBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenBest, Michael J. Quadratic Programming with Computer Programs. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenQuadratic Programming and Affine Variational Inequalities. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b105061.
Der volle Inhalt der QuelleLindo: Linear, Integer, and Quadratic Programming. Course Technology, 1998.
Den vollen Inhalt der Quelle findenSchrage, Linus. LINDO (Linear, Integer and Quadratic Programming). 4. Aufl. The Scientific Press, 1989.
Den vollen Inhalt der Quelle findenAl-Saket, Amal Hikmat. An algorithm with degeneracy resolution for solving certain quadratic programming problems. 1985.
Den vollen Inhalt der Quelle findenSchrage, Linus. User's Manual for Linear, Integer, & Quadratic Programming with Lindo. 3. Aufl. Course Technology, 1986.
Den vollen Inhalt der Quelle findenQuadratic Programming and Affine Variational Inequalities: A Qualitative Study. Springer London, Limited, 2005.
Den vollen Inhalt der Quelle findenOptimal Quadratic Programming Algorithms Springer Optimization and Its Applications. Springer, 2010.
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