Artigo Revisado por pares

Extension of Davidon’s Variable Metric Method to Maximization Under Linear Inequality and Equality Constraints

1969; Society for Industrial and Applied Mathematics; Volume: 17; Issue: 4 Linguagem: Inglês

10.1137/0117067

ISSN

1095-712X

Autores

Donald Goldfarb,

Tópico(s)

Probabilistic and Robust Engineering Design

Resumo

Previous article Next article Extension of Davidon's Variable Metric Method to Maximization Under Linear Inequality and Equality ConstraintsDonald GoldfarbDonald Goldfarbhttps://doi.org/10.1137/0117067PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] M. J. Box, A comparison of several current optimization methods, and the use of transformations in constrained problems, Comput. J., 9 (1966), 67–77 MR0192645 0146.13304 CrossrefISIGoogle Scholar[2] Charles W. Carroll, The created response surface technique for optimizing nonlinear, restrained systems, Operations Res., 9 (1961), 169–185 MR0129020 0111.17004 CrossrefISIGoogle Scholar[3] R. Courant and , D. Hilbert, Methods of mathematical physics. Vol. I, Interscience Publishers, Inc., New York, N.Y., 1953xv+561 MR0065391 0051.28802 Google Scholar[4] W. C. Davidon, Variable metric method for minimization, Atomic Energy Commission Research Development Report, ANL-5990, 1959 Google Scholar[5] Jack B. Dennis, Mathematical programming and electrical networks, The Technology Press of The Massachusetts Institute of Technology, Cambridge, Mass., 1959vi+186 MR0108400 Google Scholar[6] V. N. Faddeeva, Computational methods of linear algebra, Dover Publications Inc., New York, 1959xi+252 MR0100344 0086.10802 Google Scholar[7] A. V. Fiacco and , G. P. McCormick, Programming under nonlinear constraints by unconstrained minimization: A primal-dual method, Tech. Paper, RAC-TP-96, Research Analyses Corporation, 1963 Google Scholar[8] A. V. Fiacco and , G. P. McCormick, The sequential unconstrained minimization technique for nonlinear programming, a primaldual method, Management Sci, 10 (1964), 360–366 CrossrefISIGoogle Scholar[9] A. V. Fiacco and , G. P. McCormick, Computational algorithm for the sequential unconstrained minimization technique for nonlinear programming, Management Sci, 10 (1964), 601–617 CrossrefISIGoogle Scholar[10] A. V. Fiacco and , G. P. McCormick, Extensions of the sequential unconstrained minimization technique (SUMT) for nonlinear programming, presented at the American Meeting of the Institute of Management Sciences, San Francisco, 1965 Google Scholar[11] R. Fletcher and , M. J. D. Powell, A rapidly convergent descent method for minimization, Comput. J., 6 (1963/1964), 163–168 MR0152116 0132.11603 CrossrefISIGoogle Scholar[12] R. Fletcher and , C. M. Reeves, Function minimization by conjugate gradients, Comput. J., 7 (1964), 149–154 10.1093/comjnl/7.2.149 MR0187375 0132.11701 CrossrefISIGoogle Scholar[13] R. Frisch, The multiplex method for linear programming, Memorandum, Universetetets Socialo-konomisk Institute, Oslo, 1958 Google Scholar[14] Saul I. Gass, Linear programming: Methods and applications, Second edition, McGraw-Hill Book Co., New York, 1964xii+280 MR0195573 Google Scholar[15] D. Goldfarb, Masters Thesis, A conjugate gradient method for nonlinear programming, Doctoral thesis, Department of Chemical Engineering, Princeton University, 1966 Google Scholar[16] D. Goldfarb and , L. Lapidus, Conjugate gradient method for nonlinear programming problems with linear constraints, Industrial and Engineering Chemistry Fundamentals, 7 (1968), 142–151 10.1021/i160025a024 CrossrefISIGoogle Scholar[17] G. Hadley, Nonlinear and dynamic programming, Addison-Wesley Publishing Co., Inc., Reading, Mass.-London, 1964xi+484 MR0173543 0179.24601 Google Scholar[18] Paul R. Halmos, Finite-dimensional vector spaces, The University Series in Undergraduate Mathematics, D. Van Nostrand Co., Inc., Princeton-Toronto-New York-London, 1958viii+200 MR0089819 0107.01404 Google Scholar[19] H. W. Kuhn and , A. W. Tucker, Nonlinear programming, Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, 1950, University of California Press, Berkeley and Los Angeles, 1951, 481–492 MR0047303 0044.05903 Google Scholar[20] C. E. Lemke, The constrained gradient method of linear programming, J. Soc. Indust. Appl. Math., 9 (1961), 1–17 10.1137/0109001 MR0121247 0112.12302 LinkISIGoogle Scholar[21] Clair E. Miller, R. L. Graves and , P. Wolfe, The simplex method for local separable programmingRecent advances in mathematical programming, McGraw-Hill, New York, 1963, 89–100 MR0171624 0232.90060 Google Scholar[22] M. J. D. Powell, An iterative method for finding stationary values of a function of several variables, Comput. J, 5 (1962), 147–151 0104.34303 CrossrefGoogle Scholar[23] M. J. D. Powell, An efficient method for finding the minimum of a function of several variables without calculating derivatives, Comput. J., 7 (1964), 155–162 10.1093/comjnl/7.2.155 MR0187376 0132.11702 CrossrefISIGoogle Scholar[24] J. B. Rosen, The gradient projection method for nonlinear programming. I. Linear constraints, J. Soc. Indust. Appl. Math., 8 (1960), 181–217 10.1137/0108011 MR0112750 0099.36405 LinkISIGoogle Scholar[25] H. H. Rosenbrock, An automatic method for finding the greatest or least value of a function, Comput. J., 3 (1960/1961), 175–184 10.1093/comjnl/3.3.175 MR0136042 CrossrefISIGoogle Scholar[26] H. A. Spang, III, A review of minimization techniques for nonlinear functions, SIAM Rev., 4 (1962), 343–365 10.1137/1004089 MR0145642 0112.12205 LinkISIGoogle Scholar[27] B. V. Shah, , R. J. Buehler and , O. Kempthorne, The method of parallel tangents (Partan) for finding an optimum, Rep., NR-042-207, Office of Naval Research, 1961 Google Scholar[28] C. Witzgall, Gradient projection methods for linear programming, Tech. Rep., 2, Princeton-IBM Mathematics Research Project, 1960 Google Scholar[29] G. Zoutendijk, Methods of feasible directions: A study in linear and non-linear programming, Elsevier Publishing Co., Amsterdam-London-New York-Princeton, N.J., 1960ii+127 MR0129119 0097.35408 Google Scholar[30] G. Zoutendijk, Nonlinear programming: A numerical survey, SIAM J. Control, 4 (1966), 194–210 10.1137/0304019 MR0189832 0146.13303 LinkGoogle Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Exoskeleton kinematic design robustness: An assessment method to account for human variability4 November 2020 | Wearable Technologies, Vol. 1 Cross Ref FreePSI: an alignment-free approach to estimating exon-inclusion ratios without a reference transcriptome9 November 2017 | Nucleic Acids Research, Vol. 46, No. 2 Cross Ref A scaled three-term conjugate gradient method for unconstrained optimization13 December 2016 | Journal of Inequalities and Applications, Vol. 2016, No. 1 Cross Ref An active-set projected trust region algorithm for box constrained optimization problems28 November 2014 | Journal of Systems Science and Complexity, Vol. 28, No. 5 Cross Ref SOLVING A SPECIAL CLASS OF MULTIPLE OBJECTIVE LINEAR FRACTIONAL PROGRAMMING PROBLEMS9 October 2014 | The ANZIAM Journal, Vol. 56, No. 1 Cross Ref A New Procedure for Solving Integer 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