Abstract
We propose two linearly convergent descent methods for finding a minimizer of a convex quadratic spline and establish global error estimates for the iterates. One application of such descent methods is to solve convex quadratic programs, since they can be reformulated as problems of unconstrained minimization of convex quadratic splines. In particular, we derive several new linearly convergent algorthms for solving convex quadratic programs. These algorithms could be classified as row-action methods, matrix-splitting methods, and Newton-type methods.
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References
Wolfe, P.,Convergence Conditions for Ascent Methods, SIAM Review, Vol. 11 pp. 226–235, 1969.
Goldfarb, D.,Curvilinear Path Steplength Algorithms for Minimization Algorithms Which Use Directions of Negative Curvature, Mathematical Programming, Vol. 18, pp. 31–40, 1980.
Dennis, J. E., Jr., andSchnabel, R. B.,Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Englewood Cliffs, New Jersey, pp. 118–121, 1983.
Luo, Z. Q., andTseng, P.,On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization, SIAM Journal on Control and Optimization, Vol. 30, pp., 408–425, 1992.
Li, W., Pardalos, P., andHan, C. G.,Gauss-Seidel Method for Least Distance Problems, Journal of Optimization Theory and Applications, Vol. 75, pp. 487–500, 1992.
Li, W., andSwetits, J.,A Newton Method for Convex Regression, Data Smoothing, and Quadratic Programming with Bounded Constraints, SIAM Journal on Optimization, Vol. 3, pp. 466–488, 1993.
Li, W., andSwetits, J.,A New Algorithm for Strictly Convex Quadratic Programs, SIAM Journal on Optimization (to appear).
Hageman, L. A., andYoung, D. M.,Applied Iterative Methods, Academic Press, New York, New York, 1981.
Varga, R. S.,Matrix Iterative Analysis, Prentice-Hall, Englewood Cliffs, New Jersey, 1962.
Young, D. M.,Iterative Solution of Large Linear Systems, Academic Press, New York, New York, 1971.
Keller, H. B.,On the Solution of Singular and Semidefinite Linear Systems by Iteration, SIAM Journal on Numerical Analysis, Vol. 2, pp. 281–290, 1965.
Li, W.,Remarks on Convergence of Matrix—Splitting Algorithm for the Symmetric Linear Complementarity Problem, SIAM Journal on Optimization, Vol. 3, pp. 155–163, 1993.
Lin, Y. Y., andPang, J. S.,Iterative Methods for Large Quadratic Programs: A Survey, SIAM Journal on Control and Optimization, Vol. 25, pp. 383–411, 1987.
Luo, Z. Q., andTseng, P.,Error Bound and Convergence Analysis of Matrix—Splitting Algorithms for the Affine Variational Inequality Problem, SIAM Journal on Optimization, Vol. 2, pp. 43–54, 1992.
Luo, Z. Q., andTseng, P.,On the Convergence of a Matrix—Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problem, SIAM Journal on Control and Optimization, Vol. 29, pp. 1037–1060, 1991.
Mandel, J.,Convergence of the Cyclical Relaxation Method for Linear Inequalities, Mathematical Programming, Vol. 30, pp. 218–228, 1984.
Mangasarian, O. L.,Solution of Symmetric Linear Complementarity Problems by Iterative Methods, Journal of Optimization Theory and Applications, Vol. 22, pp. 465–485, 1977.
Mangasarian, O. L.,Convergence of Iterates of an Inexact Matrix—Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problems, SIAM Journal on Optimization, Vol. 1, pp. 114–122, 1991.
Pang, J. S.,Necessary and Sufficient Conditions for the Convergence of Iterative Methods for the Linear Complementarity Problem, Journal of Optimization Theory and Applications, Vol. 42, pp. 1–17, 1984.
Pang, J. S.,More Results on the Convergence of Iterative Methods for the Symmetric Linear Complementarity Problems, Journal of Optimization Theory and Applications, Vol. 49, pp. 107–134, 1986.
Ortega, J. M., andRheinboldt, W. C.,Iterative Solution of Nonlinear Equations in Several Variables, Academic Press, New York, New York, 1970.
Robinson, S. M.,Some Continuity Properties of Polyhedral Multifunctions, Mathematical Programming Study, Vol. 14, pp. 206–214, 1981.
Li, W.,Error Bounds for Piecewise Convex Quadratic Programs and Applications, SIAM Journal on Control and Optimization (to appear).
Pardalos, P. M., andKovoor, N.,An Algorithm for a Singly Constrained Class of Quadratic Programs Subject to Upper and Lower Bounds, Mathematical Programming, Vol. 46, pp. 321–328, 1990.
Bertsekas, D. P.,Constrained Optimization and Lagrange Multiplier Methods, Academic Press, New York, New York, 1982.
Di Pillo, G., andGrippo, L.,Exact Penalty Functions in Constrained Optimization, SIAM Journal on Control and Optimization, Vol. 27, pp. 1333–1360, 1989.
Di Pillo, G., Facchinei, F., andGrippo, L.,An RQP Algorithm Using a Differentiable Exact Penalty Function for Inequality Constrained Problems, Mathematical Programming, Vol. 55, pp. 49–68, 1992.
Grippo, L., andLucidi, S.,On the Solution of a Class of Quadratic Programs Using a Differentiable Exact Penalty Function, Lecture Notes in Control and Information Sciences, Springer, Berlin, Germany, Vol. 143, pp. 764–773, 1990.
Grippo, L., andLucidi, S.,A Differentiable Exact Penalty Function for Bound—Constrained Quadratic Programming Problems, Optimization, Vol. 22, pp. 557–578, 1991.
Fukushima, M.,Equivalent Differentiable Optimization Problems and Descent Methods for Asymmetric Variational Inequality Problems, Mathematical Programming, Vol. 53, pp. 99–110, 1992.
Censor, Y.,Row-Action Method for Huge and Sparse Systems and Its Applications, SIAM Review, Vol. 23, pp. 444–464, 1981.
Cryer, C. W.,The Solution of a Quadratic Programming Problem Using Systematic Overrelaxation, SIAM Journal on Computing, Vol. 9, pp. 385–392, 1971.
Iusem, A., andDe Pierro, A.,On the Convergence Properties of Hildreth's Quadratic Programming Algorithm, Mathematical Programming, Vol. 47, pp. 37–51, 1990.
Lent, A., andCensor, Y.,Extensions of Hildreth's Row-Action Method for Convex Programming, SIAM Journal on Control and Optimization, Vol. 18, pp. 444–454, 1980.
Goldstein, A. A.,Convex Programming in Hilbert Space, Bulletin of the American Mathematical Society, Vol. 70, pp. 709–710, 1965.
Levitin, E. S., andPolyak, B. T.,Constrained Minimization Methods, USSR Computational and Mathematical Physics, Vol. 6, pp. 1–50, 1965.
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Li, W. Linearly convergent descent methods for the unconstrained minimization of convex quadratic splines. J Optim Theory Appl 86, 145–172 (1995). https://doi.org/10.1007/BF02193464
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DOI: https://doi.org/10.1007/BF02193464