Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method
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[1] R. Wittmann. Approximation of fixed points of nonexpansive mappings , 1992 .
[2] P. Lions. Approximation de Points Fixes de Contractions , 1977 .
[3] Patrick L. Combettes,et al. Inconsistent signal feasibility problems: least-squares solutions in a product space , 1994, IEEE Trans. Signal Process..
[4] R. Dykstra,et al. A Method for Finding Projections onto the Intersection of Convex Sets in Hilbert Spaces , 1986 .
[5] Patrick L. Combettes,et al. Hard-constrained inconsistent signal feasibility problems , 1999, IEEE Trans. Signal Process..
[6] I. Yamada. A numerically robust hybrid steepest descent method for the convexly constrained generalized inverse problems , 2002 .
[7] I. Yamada,et al. NON-STRICTLY CONVEX MINIMIZATION OVER THE FIXED POINT SET OF AN ASYMPTOTICALLY SHRINKING NONEXPANSIVE MAPPING , 2002 .
[8] Isao Yamada,et al. Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[9] I. Yamada. The Hybrid Steepest Descent Method for the Variational Inequality Problem over the Intersection of Fixed Point Sets of Nonexpansive Mappings , 2001 .
[10] Gene H. Golub,et al. Matrix computations , 1983 .
[11] Karolos M. Grigoriadis,et al. Application of alternating convex projection methods for computation of positive Toeplitz matrices , 1994, IEEE Trans. Signal Process..
[12] K. Grigoriadis,et al. Alternating convex projection methods for discrete-time covariance control design , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.
[13] I. Yamada,et al. Minimizing certain convex functions over the intersection of the fixed point sets of nonexpansive mappings , 1998 .
[14] Yongyi Yang,et al. Vector Space Projections: A Numerical Approach to Signal and Image Processing, Neural Nets, and Optics , 1998 .
[15] P. L. Combettes. The foundations of set theoretic estimation , 1993 .
[16] I. Ekeland,et al. Convex analysis and variational problems , 1976 .
[17] Patrick L. Combettes,et al. Strong Convergence of Block-Iterative Outer Approximation Methods for Convex Optimization , 2000, SIAM J. Control. Optim..
[18] W. Cheney,et al. Proximity maps for convex sets , 1959 .
[19] Alvaro R. De Pierro,et al. On the convergence of Han's method for convex programming with quadratic objective , 1991, Math. Program..
[20] N. Higham. COMPUTING A NEAREST SYMMETRIC POSITIVE SEMIDEFINITE MATRIX , 1988 .
[21] P. L. Combettes,et al. Foundation of set theoretic estimation , 1993 .
[22] Billy E. Rhoades. Quadratic optimization of fixed points for a family of nonexpansive mappings in Hilbert space , 2004 .
[23] Boris Polyak,et al. The method of projections for finding the common point of convex sets , 1967 .
[24] E. Zeidler. Nonlinear functional analysis and its applications , 1988 .
[25] Heinz H. Bauschke,et al. On Projection Algorithms for Solving Convex Feasibility Problems , 1996, SIAM Rev..