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1
Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
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Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

Springer Science+Business Media, LLC 2010 ;ISBN: 1441970118 ;ISBN: 9781441970114 ;ISBN: 144197010X ;ISBN: 9781441970107 ;EISBN: 1441970118 ;EISBN: 9781441970114 ;DOI: 10.1007/978-1-4419-7011-4 ;OCLC: 667655080

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2
On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers
On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers
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On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers

Journal of scientific computing, 2016-03, Vol.66 (3), p.889-916 [Peer Reviewed Journal]

Springer Science+Business Media New York 2015 ;Springer Science+Business Media New York 2015. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-015-0048-x

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3
Phase recovery, MaxCut and complex semidefinite programming
Phase recovery, MaxCut and complex semidefinite programming
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Phase recovery, MaxCut and complex semidefinite programming

Mathematical programming, 2015-02, Vol.149 (1-2), p.47-81 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2015 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-013-0738-9 ;CODEN: MHPGA4

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4
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
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The Convex Geometry of Linear Inverse Problems

Foundations of computational mathematics, 2012-12, Vol.12 (6), p.805-849 [Peer Reviewed Journal]

SFoCM 2012 ;COPYRIGHT 2012 Springer ;ISSN: 1615-3375 ;EISSN: 1615-3383 ;DOI: 10.1007/s10208-012-9135-7 ;CODEN: FCMOA3

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5
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

Journal of scientific computing, 2022-09, Vol.92 (3), p.88, Article 88 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-022-01939-z

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6
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
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Proximal alternating linearized minimization for nonconvex and nonsmooth problems

Mathematical programming, 2014-08, Vol.146 (1-2), p.459-494 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-013-0701-9 ;CODEN: MHPGA4

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7
Optimization algorithms on matrix manifolds
Optimization algorithms on matrix manifolds
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Optimization algorithms on matrix manifolds

2008 Princeton University Press ;ISBN: 9780691132983 ;ISBN: 0691132984 ;ISBN: 1400830249 ;ISBN: 9781400830244 ;EISBN: 1400830249 ;EISBN: 9781400830244 ;DOI: 10.1515/9781400830244 ;OCLC: 438732716 ;LCCallNum: QA402.5

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8
Nonsmooth optimization via quasi-Newton methods
Nonsmooth optimization via quasi-Newton methods
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Nonsmooth optimization via quasi-Newton methods

Mathematical programming, 2013-10, Vol.141 (1-2), p.135-163 [Peer Reviewed Journal]

Springer and Mathematical Optimization Society 2012 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-012-0514-2 ;CODEN: MHPGA4

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9
Accelerated gradient methods for nonconvex nonlinear and stochastic programming
Accelerated gradient methods for nonconvex nonlinear and stochastic programming
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Accelerated gradient methods for nonconvex nonlinear and stochastic programming

Mathematical programming, 2016-03, Vol.156 (1-2), p.59-99 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2015 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-015-0871-8 ;CODEN: MHPGA4

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10
On the linear convergence of the alternating direction method of multipliers
On the linear convergence of the alternating direction method of multipliers
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On the linear convergence of the alternating direction method of multipliers

Mathematical programming, 2017-03, Vol.162 (1-2), p.165-199 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1034-2 ;CODEN: MHPGA4

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11
Parallel Multi-Block ADMM with o(1 / k) Convergence
Parallel Multi-Block ADMM with o(1 / k) Convergence
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Parallel Multi-Block ADMM with o(1 / k) Convergence

Journal of scientific computing, 2017-05, Vol.71 (2), p.712-736 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;Springer Science+Business Media New York 2016. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-016-0318-2

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12
On the ergodic convergence rates of a first-order primal–dual algorithm
On the ergodic convergence rates of a first-order primal–dual algorithm
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On the ergodic convergence rates of a first-order primal–dual algorithm

Mathematical programming, 2016-09, Vol.159 (1-2), p.253-287 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2015 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-015-0957-3 ;CODEN: MHPGA4

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13
Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media
Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media
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Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media

ISBN: 9783642140020 ;ISBN: 3642140025 ;EISBN: 3642140033 ;EISBN: 9783642140037 ;OCLC: 771212897

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14
Approximation Algorithms and Semidefinite Programming
Approximation Algorithms and Semidefinite Programming
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Approximation Algorithms and Semidefinite Programming

Springer-Verlag Berlin Heidelberg 2012 ;ISBN: 9783642220159 ;ISBN: 3642220150 ;ISBN: 9783642220142 ;ISBN: 3642220142 ;EISBN: 9783642220159 ;EISBN: 3642220150 ;DOI: 10.1007/978-3-642-22015-9 ;OCLC: 773812724 ;OCLC: 1197559273

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15
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
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The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

Mathematical programming, 2016, Vol.155 (1-2), p.57-79 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2014 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-014-0826-5 ;CODEN: MHPGA4

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16
Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
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Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models

Mathematical programming, 2017-05, Vol.163 (1-2), p.359-368 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1065-8 ;CODEN: MHPGA4

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17
Tensor Complementarity Problem and Semi-positive Tensors
Tensor Complementarity Problem and Semi-positive Tensors
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Tensor Complementarity Problem and Semi-positive Tensors

Journal of optimization theory and applications, 2016-06, Vol.169 (3), p.1069-1078 [Peer Reviewed Journal]

Springer Science+Business Media New York 2015 ;Springer Science+Business Media New York 2016 ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-015-0800-2

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18
Pyomo: Optimization Modeling in Python
Pyomo: Optimization Modeling in Python
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Pyomo: Optimization Modeling in Python

Springer Science+Business Media, LLC 2012 ;ISSN: 1931-6828 ;ISBN: 9781461432265 ;ISBN: 146143226X ;ISBN: 9781461432258 ;ISBN: 1461432251 ;EISSN: 1931-6836 ;EISBN: 9781461432265 ;EISBN: 146143226X ;DOI: 10.1007/978-1-4614-3226-5 ;OCLC: 778366749

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19
Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization
Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization
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Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization

Mathematical programming, 2016-01, Vol.155 (1-2), p.267-305 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2014 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-014-0846-1 ;CODEN: MHPGA4

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20
On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint
On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint
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On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint

Journal of optimization theory and applications, 2016-05, Vol.169 (2), p.671-691 [Peer Reviewed Journal]

Springer Science+Business Media New York 2015 ;Springer Science+Business Media New York 2016 ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-015-0803-z

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