Amir Beck
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Amir Beckmathematics Degrees
Mathematics
#6959
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#9552
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Applied Mathematics
#281
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#306
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Measure Theory
#1755
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#2155
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Mathematics
Amir Beck's Degrees
- PhD Mathematics Tel Aviv University
- Masters Mathematics Tel Aviv University
- Bachelors Mathematics Tel Aviv University
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(Suggest an Edit or Addition)Amir Beck's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems (2009) (10378)
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems (2009) (1819)
- First-Order Methods in Optimization (2017) (1071)
- Mirror descent and nonlinear projected subgradient methods for convex optimization (2003) (1053)
- Exact and Approximate Solutions of Source Localization Problems (2008) (514)
- On the Convergence of Block Coordinate Descent Type Methods (2013) (498)
- A sequential parametric convex approximation method with applications to nonconvex truss topology design problems (2010) (471)
- Gradient-based algorithms with applications to signal-recovery problems (2010) (390)
- GESPAR: Efficient Phase Retrieval of Sparse Signals (2013) (330)
- Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms (2012) (309)
- Smoothing and First Order Methods: A Unified Framework (2012) (275)
- Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints (2006) (272)
- Duality in robust optimization: Primal worst equals dual best (2009) (192)
- On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes (2015) (182)
- A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring (2009) (171)
- Introduction to Nonlinear Optimization - Theory, Algorithms, and Applications with MATLAB (2014) (166)
- An $O(1/k)$ Gradient Method for Network Resource Allocation Problems (2014) (157)
- On the Solution of the Tikhonov Regularization of the Total Least Squares Problem (2006) (127)
- Finding a Global Optimal Solution for a Quadratically Constrained Fractional Quadratic Problem with Applications to the Regularized Total Least Squares (2006) (104)
- A fast dual proximal gradient algorithm for convex minimization and applications (2014) (98)
- Linearly convergent away-step conditional gradient for non-strongly convex functions (2015) (96)
- Quadratic Matrix Programming (2006) (93)
- Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints (2000) (88)
- Smoothing and Decomposition for Analysis Sparse Recovery (2013) (86)
- A conditional gradient method with linear rate of convergence for solving convex linear systems (2004) (80)
- Weiszfeld’s Method: Old and New Results (2015) (76)
- A convex optimization approach for minimizing the ratio of indefinite quadratic functions over an ellipsoid (2009) (67)
- Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets (2007) (62)
- On the Minimization Over Sparse Symmetric Sets: Projections, Optimality Conditions, and Algorithms (2016) (58)
- A Minimax Chebyshev Estimator for Bounded Error Estimation (2008) (52)
- Convexity Properties Associated with Nonconvex Quadratic Matrix Functions and Applications to Quadratic Programming (2009) (47)
- Maximum likelihood estimation in linear models with a Gaussian model matrix (2006) (47)
- Iterative Minimization Schemes for Solving the Single Source Localization Problem (2008) (46)
- On the convexity of a class of quadratic mappings and its application to the problem of finding the smallest ball enclosing a given intersection of balls (2007) (44)
- Regularization in Regression with Bounded Noise: A Chebyshev Center Approach (2007) (43)
- The CoMirror algorithm for solving nonsmooth constrained convex problems (2010) (43)
- On Fienup Methods for Sparse Phase Retrieval (2017) (39)
- Optimal Distributed Gradient Methods for Network Resource Allocation Problems (2013) (36)
- Efficient phase retrieval of sparse signals (2012) (34)
- The Cyclic Block Conditional Gradient Method for Convex Optimization Problems (2015) (31)
- Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties (2005) (31)
- Optimization problems involving group sparsity terms (2019) (30)
- FOM – a MATLAB toolbox of first-order methods for solving convex optimization problems (2019) (30)
- A first order method for finding minimal norm-like solutions of convex optimization problems (2014) (30)
- A Global Solution for the Structured Total Least Squares Problem with Block Circulant Matrices (2005) (29)
- On Minimizing Quadratically Constrained Ratio of Two Quadratic Functions ∗ (2010) (28)
- The 2-Coordinate Descent Method for Solving Double-Sided Simplex Constrained Minimization Problems (2014) (28)
- Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems (2003) (27)
- A Linearly Convergent Algorithm for Solving a Class of Nonconvex/Affine Feasibility Problems (2011) (26)
- A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints (2017) (24)
- Proximal Mapping for Symmetric Penalty and Sparsity (2018) (23)
- On the Solution of the GPS Localization and Circle Fitting Problems (2012) (23)
- Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty (2007) (21)
- On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods (2020) (20)
- Globally Solving the Trust Region Subproblem Using Simple First-Order Methods (2018) (19)
- A new semidefinite programming relaxation scheme for a class of quadratic matrix problems (2012) (16)
- Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares (2010) (16)
- Hidden convexity based near maximum-likelihood CDMA detection (2005) (15)
- The matrix-restricted total least-squares problem (2007) (15)
- The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms (2015) (15)
- Minimax Mean-Squared Error Estimation of Multichannel Signals (2005) (14)
- A Fast Method for Finding the Global Solution of the Regularized Structured Total Least Squares Problem for Image Deblurring (2008) (13)
- Sparse signal recovery from nonlinear measurements (2013) (10)
- A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization (2006) (10)
- Nonlinear compressed sensing with application to phase retrieval (2013) (9)
- An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems (2016) (9)
- Bounded Error Estimation: A Chebyshev Center Approach (2007) (5)
- An improved ellipsoid method for solving convex differentiable optimization problems (2012) (4)
- On Fienup Methods for Regularized Phase Retrieval (2017) (4)
- Primal and dual predicted decrease approximation methods (2018) (4)
- Chapter 10: The Proximal Gradient Method (2017) (3)
- An Accelerated Coordinate Gradient Descent Algorithm for Non-separable Composite Optimization (2021) (3)
- Dual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems (2021) (2)
- Sparse regularization via bidualization (2021) (2)
- Globally solving a class of optimal power flow problems in radial networks by tree reduction (2018) (2)
- Chapter 1: Vector spaces (2017) (2)
- Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems (2016) (1)
- Chapter 6: The Proximal Operator (2017) (1)
- A Sequential Ascending Parameter Method for Solving Constrained Minimization Problems (2012) (1)
- MSE estimation of multichannel signals with model uncertainties (2005) (1)
- Chapter 8: Convex Optimization (2014) (1)
- Convergence of an Inexact Majorization-Minimization Method for Solving a Class of Composite Optimization Problems (2018) (1)
- New results on multi-dimensional linear discriminant analysis (2021) (1)
- Chapter 9: Optimization over a Convex Set (2014) (0)
- Primal and Dual Variables Decomposition Methods in Convex Optimization (2015) (0)
- Chapter 8: Primal and Dual Projected Subgradient Methods (2017) (0)
- Chapter 11: The Block Proximal Gradient Method (2017) (0)
- A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints (2017) (0)
- Minimax Regression with Bounded Noise (2006) (0)
- Chapter 7: Convex Functions (2014) (0)
- The Regularized Total Least Squares Problem : Theoretical Properties and Three Globally Convergent Algorithms (2006) (0)
- Optimization problems involving group sparsity terms (2018) (0)
- Chapter 2: Optimality Conditions for Unconstrained Optimization (2014) (0)
- Chapter 2: Extended Real-Valued Functions (2017) (0)
- Chapter 5: Smoothness and Strong Convexity (2017) (0)
- Chapter 10: Optimality Conditions for Linearly Constrained Problems (2014) (0)
- Chapter 5: Newton's Method (2014) (0)
- Primal and dual predicted decrease approximation methods (2017) (0)
- A probabilistic result for the max-cut problem on random graphs (2000) (0)
- A first order method for finding minimal norm-like solutions of convex optimization problems (2013) (0)
- The 2-Coordinate Descent Method for Solving Double-Sided Simplex Constrained Minimization Problems (2013) (0)
- Chapter 3: Least Squares (2014) (0)
- Chapter 9: Mirror Descent (2017) (0)
- Chapter 11: The KKT Conditions (2014) (0)
- Linearly convergent away-step conditional gradient for non-strongly convex functions (2016) (0)
- The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms (2016) (0)
- Chapter 1: Mathematical Preliminaries (2014) (0)
- Chapter 4: The Gradient Method (2014) (0)
- Chapter 3: Subgradients (2017) (0)
- Chapter 12: Duality (2014) (0)
- Globally solving a class of optimal power flow problems in radial networks by tree reduction (2018) (0)
- GESPAR : Efficient Sparse Phase Retrieval with Application to Optics (2013) (0)
- Chapter 13: The Generalized Conditional Gradient Method (2017) (0)
- Chapter 15: ADMM (2017) (0)
- Chapter 6: Convex Sets (2014) (0)
- Chapter 12: Dual-Based Proximal Gradient Methods (2017) (0)
- The regularized feasible directions method for nonconvex optimization (2022) (0)
- Chapter 7: Spectral Functions (2017) (0)
- Chapter 14: Alternating Minimization (2017) (0)
- The Sparse PCA Problem: Optimality Conditions and Algorithms (2015) (0)
- Weiszfeld’s Method: Old and New Results (2014) (0)
- Chapter 4: Conjugate Functions (2017) (0)
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What Schools Are Affiliated With Amir Beck?
Amir Beck is affiliated with the following schools: