Isao Yamada

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All published works

Action	Title	Year	Authors
+ PDF Chat	Hierarchical Nash Equilibrium over Variational Equilibria via Fixed-point Set Expression of Quasi-nonexpansive Operator	2024	S. Matsuo Keita Kume Isao Yamada
+ PDF Chat	Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches and Convergence to Optimal Point	2024	Masahiro Yukawa Isao Yamada
+	Computing an Entire Solution Path of a Nonconvexly Regularized Convex Sparse Model	2024	Yi Zhang Isao Yamada
+	Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models	2024	Wataru Yata Isao Yamada
+	A Variable Smoothing for Nonconvexly Constrained Nonsmooth Optimization with Application to Sparse Spectral Clustering	2024	Keita Kume Isao Yamada
+	An inexact proximal linearized DC algorithm with provably terminating inner loop	2024	Yi Zhang Isao Yamada
+ PDF Chat	Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression	2023	Masahiro Yukawa Hiroyuki Kaneko Kyohei Suzuki Isao Yamada
+	An Inexact Proximal Linearized DC Algorithm with Provably Terminating Inner Loop	2023	Yi Zhang Isao Yamada
+	Adaptive Localized Cayley Parametrization for Optimization over Stiefel Manifold	2023	Keita Kume Isao Yamada
+	A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models	2023	Yi Zhang Isao Yamada
+ PDF Chat	A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models	2023	Yi Zhang Isao Yamada
+	A variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering	2023	Keita Kume Isao Yamada
+	Imposing early and asymptotic constraints on LiGME with application to nonconvex enhancement of fused lasso models	2023	Wataru Yata Isao Yamada
+	Computing an Entire Solution Path of a Nonconvexly Regularized Convex Sparse Model	2023	Yi Zhang Isao Yamada
+	Generalized left-localized Cayley parametrization for optimization with orthogonality constraints	2022	Keita Kume Isao Yamada
+	Stable Robust Regression under Sparse Outlier and Gaussian Noise	2022	Masahiro Yukawa Kyohei Suzuki Isao Yamada
+	A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization	2022	Yi Zhang Isao Yamada
+	Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression	2022	Masahiro Yukawa Hiroyuki Kaneko Kyohei Suzuki Isao Yamada
+	A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation	2021	Riku Akema Masao Yamagishi Isao Yamada
+ PDF Chat	A Convexly Constrained LiGME Model and Its Proximal Splitting Algorithm	2021	Wataru Yata Masao Yamagishi Isao Yamada
+	A Convexly Constrained LiGME Model and Its Proximal Splitting Algorithm	2021	Wataru Yata Masao Yamagishi Isao Yamada
+	Approximate-Then-Diagonalize-Simultaneously Algorithm and Tensor CP Decomposition	2020	Riku Akema Masao Yamagishi Isao Yamada
+ PDF Chat	Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation	2020	Riku Akema Masao Yamagishi Isao Yamada
+	Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization	2020	Riku Akema Masao Yamagishi Isao Yamada
+	A Hierarchical Convex Optimization for Multiclass SVM Achieving Maximum Pairwise Margins with Least Empirical Hinge-Loss	2020	Yunosuke Nakayama Masao Yamagishi Isao Yamada
+ PDF Chat	Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition	2019	Jiro Abe Masao Yamagishi Isao Yamada
+	Adaptive Localized Cayley Parametrization Technique for Smooth optimization over the Stiefel Manifold	2019	Keita Kume Isao Yamada
+	Hypercomplex Tensor Completion via Convex Optimization	2019	Takehiko Mizoguchi Isao Yamada
+	Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization	2019	Takehiko Mizoguchi Isao Yamada
+	Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function	2019	Jiro Abe Masao Yamagishi Isao Yamada
+	Hierarchical Convex Optimization by the Hybrid Steepest Descent Method with Proximal Splitting Operators—Enhancements of SVM and Lasso	2019	Isao Yamada Masao Yamagishi
+	Hypercomplex Principal Component Pursuit via Convex Optimization	2018	Takehiko Mizoguchi Isao Yamada
+	A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios	2018	Masahiro Yukawa Isao Yamada
+ PDF Chat	Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks	2018	Konstantinos Slavakis Isao Yamada
+	Hypercomplex Tensor Completion with Cayley-Dickson Singular Value Decomposition	2018	Takehiko Mizoguchi Isao Yamada
+	Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization	2017	Masao Yamagishi Isao Yamada
+	Global behavior of parallel projection method for certain nonconvex feasibility problems	2017	Masao Yamagishi Isao Yamada
+	Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks	2017	Konstantinos Slavakis Isao Yamada Shunsuke Ono
+	Accelerated hybrid steepest descent method for solving affinely constrained composite convex optimization tasks	2016	Konstantinos Slavakis Isao Yamada
+ PDF Chat	Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio	2016	Tomasz Piotrowski Isao Yamada
+	Stabilization of adaptive eigenvector extraction by continuation in nested orthogonal complement structure	2016	Kenji Kakimoto Daichi Kitahara Masao Yamagishi Isao Yamada
+	Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks	2016	Konstantinos Slavakis Isao Yamada
+	A nonexpansive operator for computationally efficient hierarchical convex optimization	2015	Masao Yamagishi Isao Yamada
+	Recent Advances in Convex Optimization with Fixed Point Expression of Nonexpansive Operators and Signal Processing Applications (Wavelet analysis and sampling theory)	2015	Isao Yamada
+	Compositions and convex combinations of averaged nonexpansive operators	2014	Patrick L. Combettes Isao Yamada
+	Hierarchical Convex Optimization With Primal-Dual Splitting	2014	Shunsuke Ono Isao Yamada
+	A novel fixed point characterization of minimizers of convex functions involving proximable and linear composite terms	2014	Masao Yamagishi Isao Yamada
+ PDF Chat	Performance of the stochastic MV-PURE estimator in highly noisy settings	2014	Tomasz Piotrowski Isao Yamada
+	An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning	2014	Takehiko Mizoguchi Isao Yamada
+	Compositions and Convex Combinations of Averaged Nonexpansive Operators	2014	Patrick L. Combettes Isao Yamada
+	Signal recovery by minimizing the Moreau envelope over the fixed point set of nonexpansive mappings	2013	Isao Yamada Shunsuke Ono
+	A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration	2013	Masao Yamagishi Isao Yamada
+	Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques	2013	Rodrigo C. de Lamare Masahiro Yukawa Isao Yamada
+	Performance of the stochastic MV-PURE estimator in highly noisy settings	2013	Tomasz Piotrowski Isao Yamada
+ PDF Chat	The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning	2013	Konstantinos Slavakis Isao Yamada
+	Variants of the alternating direction method of multipliers with rate of convergence Ο(1/κ)	2012	Masao Yamagishi Shunsuke Ono Isao Yamada
+	Computational Method for Solving a Stochastic Linear-Quadratic Control Problem Given an Unsolvable Stochastic Algebraic Riccati Equation	2012	Hideaki Iiduka Isao Yamada
+	Over-relaxation of the fast iterative shrinkage-thresholding algorithm with variable stepsize	2011	Masao Yamagishi Isao Yamada
+	Overrelaxation of the fast iterative shrinkage/thresholding algorithm for fast signal recovery	2011	Masao Yamagishi Isao Yamada
+	A Rank-Selection Criterion for MV-PURE and its Applications to Ill-conditioned Inverse Problems	2011	Shinji Shimamura Masao Yamagishi Isao Yamada
+	Generalizing the multiple measurement setting from sparse vector recovery to low-rank matrix recovery (無線通信システム)	2011	Silvia Gandy Isao Yamada
+	Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings	2011	Isao Yamada Masahiro Yukawa Masao Yamagishi
+	Asymptotic minimization of sequences of loss functions constrained by families of quasi-nonexpansive mappings and its application to online learning	2010	Konstantinos Slavakis Isao Yamada
+	Numerically stable algorithms for adaptive generalized minor subspace extraction (通信方式)	2010	Tuan-Duong Nguyen Noriyuki Takahashi Isao Yamada
+	Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method	2010	Masahiro Yukawa Konstantinos Slavakis Isao Yamada
+	The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning	2010	Konstantinos Slavakis Isao Yamada
+	A Robust Function Estimation in Reproducing Kernel Hilbert Space Based on Finite Dimensional Reformulations	2009	Shinji Shimamura Isao Yamada
+	Optimization and Signal Processing, Part II ; minimum-variance pseudounbiased reduced-rank estimator(Technical Survey)	2009	Isao Yamada
+	Signal processing in dual domain by adaptive projected subgradient method	2009	Masahiro Yukawa Konstantinos Slavakis Isao Yamada
+	Signal Processing Applications of a Pair of Simple Fixed Point Algorithms (Invited)	2009	功山田 Isao Yamada
+	An improvement of subgradient projection operator by composing monotonic functions	2009	Masao Yamagishi Isao Yamada
+	A Use of Conjugate Gradient Direction for the Convex Optimization Problem over the Fixed Point Set of a Nonexpansive Mapping	2009	Hideaki Iiduka Isao Yamada
+ PDF Chat	Reduced-rank extension of BLUE and deep Lipschitzian gradient projector for inverse problems	2008	Isao Yamada Tomasz Piotrowski M. E. B. Yamagishi
+	A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions	2008	Masao YAMAGISHI Isao Yamada
+	MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems	2008	Tomasz Piotrowski Isao Yamada
+	A subgradient-type method for the equilibrium problem over the fixed point set and its applications	2008	Hideaki Iiduka Isao Yamada
+	Parallel algorithms for variational inequalities over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings	2008	Noriyuki Takahashi Isao Yamada
+	The Adaptive Projected Subgradient Method over the Fixed Point Set of Strongly Attracting Nonexpansive Mappings	2006	Konstantinos Slavakis Isao Yamada Nobuhiko Ogura
+	Minimum-Variance Pseudo-Unbiased Low-Rank Estimator for Ill-Conditioned Inverse Problems	2006	Isao Yamada Jamal Elbadraoui
+ PDF Chat	ASYMPTOTIC REGULARITY OF LINEAR POWER BOUNDED OPERATORS	2006	Hong–Kun Xu Isao Yamada
+	New Multi-dimensional Homomorphic Operator And Its Properties	2005	Isao Yamada K. Sakaniwa
+	Minimum-Variance Pseudo-Unbiased Low-Rank Estimation : A Generalization of Marquardt's Estimator for Ill-Conditioned Inverse Problems	2005	Jamal Elbadraoui Isao Yamada
+	Minimum-Variance Pseudo-Unbiased Low-Rank Estimation -- A Generalization of Marquardt's Estimator for Ill-Conditioned Inverse Problems	2005	Jamal Elbadraoui Isao Yamada
+	Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings	2005	Isao Yamada Nobuhiko Ogura
+	Convex feasibility problem with prioritized hard constraints - double layered projected gradient method	2004	Nobuhiko Ogura Isao Yamada
+	Two Generalizations of the Projected Gradient Method for Convexly Constrained Inverse Problems : Hybrid steepest descent method, Adaptive projected subgradient method (Numerical Analysis and New Information Technology)	2004	Isao Yamada Nobuhiko Ogura
+	Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method	2003	Konstantinos Slavakis Isao Yamada Kohichi Sakaniwa
+	Approximation of convexly constrained pseudoinverse by hybrid steepest descent method	2003	Isao Yamada
+	Biorthogonal bases of compactly supported matrix valued wavelets	2003	Konstantinos Slavakis Isao Yamada
+	Nonstrictly Convex Minimization over the Bounded Fixed Point Set of a Nonexpansive Mapping	2003	Nobuhiko Ogura Isao Yamada
+	A fast stability test for multidimensional systems	2002	Kaoru Kurosawa Isao Yamada Takuya Yokokawa Shigeo Tsujii
+	Constrained parallel projection methods for optimal signal estimation and design-constrained inconsistent signal feasibility problems	2002	Isao Yamada Nobuhiko Ogura Atsuko Goto K. Sakaniwa
+	A necessary condition for linear phase in two-dimensional perfect reconstruction QMF banks	2002	Kaoru Kurosawa Isao Yamada Manabu Ihara
+	Compactly supported matrix valued wavelets-biorthogonal unconditional bases	2002	Konstantinos Slavakis Isao Yamada
+	Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method	2002	Konstantinos Slavakis Isao Yamada Kohichi Sakaniwa
+	NON-STRICTLY CONVEX MINIMIZATION OVER THE FIXED POINT SET OF AN ASYMPTOTICALLY SHRINKING NONEXPANSIVE MAPPING	2002	Nobuhiko Ogura Isao Yamada
+ PDF Chat	A numerically robust hybrid steepest descent method for the convexly constrained generalized inverse problems	2002	Isao Yamada Nobuhiko Ogura Nobuyasu Shirakawa
+	A Numerically Robust Hybrid Steepest Descent Method for the Convexly Constrained Generalized Inverse Problems, in Inverse Problems	2002	Isao Yamada
+	Inconsistent Convex Feasibility Problem with Multiple and Prioritized Hard Constraints	2001	Nobuhiko Ogura Isao Yamada
+	BIORTHOGONAL UNCONDITIONAL BASES OF COMPACTLY SUPPORTED MATRIX VALUED WAVELETS	2001	Konstantinos Slavakis Isao Yamada
+	The Hybrid Steepest Descent Method for the Variational Inequality Problem Over the Intersection of Fixed Point Sets of Nonexpansive Mappings	2001	Isao Yamada
+	Hybrid steepest descent method for variational inequality problem over the fixed point set of nonexpansive mapping	2000	Isao Yamada
+	Minimizing certain convex functions over the intersection of the fixed point sets of nonexpansive mappings	1998	Frank Deutsch Isao Yamada
+	Quadratic optimization of fixed points of nonexpansive mappings in hubert space	1998	Isao Yamada Nobuhiko Ogura Kohichi Sakaniwa
+	Excluding Hyperspheres for Global Optimization	1994	Isao Yamada Kohichi Sakaniwa
+	New Multi-Dimensional Homomorphic Operator and Its Properties	1990	Isao Yamada Kohichi Sakaniwa

Common Coauthors

Coauthor	Papers Together
Masao Yamagishi	22
Konstantinos Slavakis	15
Nobuhiko Ogura	10
Masahiro Yukawa	9
Yi Zhang	7
Keita Kume	6
Tomasz Piotrowski	5
Takehiko Mizoguchi	5
Shunsuke Ono	4
Wataru Yata	4
Kohichi Sakaniwa	4
Riku Akema	4
Hideaki Iiduka	3
Kyohei Suzuki	3
Jamal Elbadraoui	3
Noriyuki Takahashi	2
Jiro Abe	2
Hiroyuki Kaneko	2
Shinji Shimamura	2
K. Sakaniwa	2
Kaoru Kurosawa	2
Patrick L. Combettes	2
S. Matsuo	1
Kohichi Sakaniwa	1
Masao YAMAGISHI	1
Kenji Kakimoto	1
Hong–Kun Xu	1
功山田	1
Nobuyasu Shirakawa	1
Manabu Ihara	1
Rodrigo C. de Lamare	1
Takuya Yokokawa	1
Atsuko Goto	1
Tuan-Duong Nguyen	1
M. E. B. Yamagishi	1
Silvia Gandy	1
Shigeo Tsujii	1
Yunosuke Nakayama	1
Daichi Kitahara	1
Frank Deutsch	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On Projection Algorithms for Solving Convex Feasibility Problems	1996	Heinz H. Bauschke Jonathan M. Borwein	27
+	The foundations of set theoretic estimation	1993	Patrick L. Combettes	20
+	The Hybrid Steepest Descent Method for the Variational Inequality Problem Over the Intersection of Fixed Point Sets of Nonexpansive Mappings	2001	Isao Yamada	19
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	18
+	Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings	2011	Isao Yamada Masahiro Yukawa Masao Yamagishi	18
+	A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms	2012	Laurent Condat	18
+	Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings	2005	Isao Yamada Nobuhiko Ogura	17
+	NON-STRICTLY CONVEX MINIMIZATION OVER THE FIXED POINT SET OF AN ASYMPTOTICALLY SHRINKING NONEXPANSIVE MAPPING	2002	Nobuhiko Ogura Isao Yamada	16
+	Signal Recovery by Proximal Forward-Backward Splitting	2005	Patrick L. Combettes Valérie R. Wajs	15
+	Quadratic optimization of fixed points of nonexpansive mappings in hubert space	1998	Isao Yamada Nobuhiko Ogura Kohichi Sakaniwa	14
+ PDF Chat	A numerically robust hybrid steepest descent method for the convexly constrained generalized inverse problems	2002	Isao Yamada Nobuhiko Ogura Nobuyasu Shirakawa	13
+	Foundation of set theoretic estimation	1993	Patrick L. Combettes	13
+ PDF Chat	Fonctions convexes duales et points proximaux dans un espace hilbertien	1962	Jean Jacques Moreau	13
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	12
+	Best Approximation in Inner Product Spaces	2001	Frank Deutsch	11
+ PDF Chat	A splitting algorithm for dual monotone inclusions involving cocoercive operators	2011	Bằng Công Vũ	11
+ PDF Chat	Proximal Splitting Methods in Signal Processing	2011	Patrick L. Combettes Jean‐Christophe Pesquet	11
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2011	Heinz H. Bauschke Patrick L. Combettes	11
+ PDF Chat	Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition	2019	Jiro Abe Masao Yamagishi Isao Yamada	10
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	10
+	Sparse Regularization via Convex Analysis	2017	Ivan Selesnick	10
+	Decomposition through formalization in a product space	1984	Guy Pierra	9
+	Approximation de Points Fixes de Contractions	1977	P. L. Lions	9
+ PDF Chat	Fixed points of nonexpanding maps	1967	Benjamin Halpern	9
+	The Approximation of Fixed Points of Compositions of Nonexpansive Mappings in Hilbert Space	1996	Heinz H. Bauschke	9
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	9
+	Uniform Convexity, Hyperbolic Geometry, and Nonexpansive Mappings	1984	Kazimierz Goebel Simeon Reich	9
+	Minimizing certain convex functions over the intersection of the fixed point sets of nonexpansive mappings	1998	Frank Deutsch Isao Yamada	9
+	Image Restoration by the Method of Convex Projections: Part 1ߞTheory	1982	Dante C. Youla H. Webb	9
+ PDF Chat	Weak convergence of the sequence of successive approximations for nonexpansive mappings	1967	Z. Opial	9
+ PDF Chat	On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators	1992	Jonathan Eckstein Dimitri P. Bertsekas	9
+	Nonlinear Functional Analysis and its Applications	1985	Eberhard Zeidler	8
+	A unified treatment of some iterative algorithms in signal processing and image reconstruction	2003	Charles L. Byrne	8
+	A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces	2001	Heinz H. Bauschke Patrick L. Combettes	8
+	Introductory functional analysis with applications	1978	Erwin Kreyszig	8
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	8
+	Splitting Algorithms for the Sum of Two Nonlinear Operators	1979	Pierre‐Louis Lions Bertrand Mercier	8
+	Nonlinear Functional Analysis and its Applications: III: Variational Methods and Optimization	1984	Eberhard Zeidler	8
+ PDF Chat	The multiple-sets split feasibility problem and its applications for inverse problems	2005	Yair Censor Tommy Elfving Nirit Kopf Thomas Bortfeld	8
+	Convergence of Hybrid Steepest-Descent Methods for Variational Inequalities	2003	Hong–Kun Xu T. H. Kim	7
+	Approximation of fixed points of nonexpansive mappings	1992	Rainer Wittmann	7
+	Nonstrictly Convex Minimization over the Bounded Fixed Point Set of a Nonexpansive Mapping	2003	Nobuhiko Ogura Isao Yamada	7
+ PDF Chat	Primal-Dual Splitting Algorithm for Solving Inclusions with Mixtures of Composite, Lipschitzian, and Parallel-Sum Type Monotone Operators	2011	Patrick L. Combettes Jean‐Christophe Pesquet	7
+	Nonlinear Functional Analysis and Its Applications: II/ A: Linear Monotone Operators	1989	Eberhard Zeidler	7
+	Linear restrictions, rank reduction, and biased estimation in linear regression	1999	John S. Chipman	6
+	Convex analysis and minimization algorithms	1993	Jean‐Baptiste Hiriart‐Urruty Claude Lemaréchal	6
+	MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems	2008	Tomasz Piotrowski Isao Yamada	6
+	Approximation of convexly constrained pseudoinverse by hybrid steepest descent method	2003	Isao Yamada	6
+	Topics in Metric Fixed Point Theory	1990	Kazimierz Goebel W. A. Kirk	6
+	Iteration methods for convexly constrained ill-posed problems in hilbert space	1992	Bertolt Eicke	6