Amir Beck

Amir Beck's AcademicInfluence.com Rankings

Amir Beck

Mathematics

#6959

World Rank

#9552

Historical Rank

Applied Mathematics

#281

World Rank

#306

Historical Rank

Measure Theory

#1755

World Rank

#2155

Historical Rank

mathematics Degrees

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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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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:

Tel Aviv University

Amir Beck's Academic­Influence.com Rankings

Amir Beck's Degrees

Similar Degrees You Can Earn

Why Is Amir Beck Influential?

Amir Beck's Published Works

Published Works

What Schools Are Affiliated With Amir Beck?

Amir Beck's AcademicInfluence.com Rankings