Maryam Yashtini

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 9

Top Topics

Convergence Rate

Top Venues

J. Optim. Theory Appl.

Publications

Maryam Yashtini
Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization. J. Glob. Optim. 84 (4) (2022)
Mengyi Tang, Maryam Yashtini, Sung Ha Kang
Counting Objects by Diffused Index: Geometry-free and training-free approach. J. Vis. Commun. Image Represent. 86 (2022)
Maryam Yashtini
Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka-Łojasiewicz Property. J. Optim. Theory Appl. 190 (3) (2021)
Mengyi Tang, Maryam Yashtini, Sung Ha Kang
Counting Objects by Diffused Index: geometry-free and training-free approach. CoRR (2021)
Maryam Yashtini
Euler's elastica-based algorithm for Parallel MRI reconstruction using SENSitivity Encoding. Optim. Lett. 14 (6) (2020)
Maryam Yashtini, Sung Ha Kang, Wei Zhu
Efficient alternating minimization methods for variational edge-weighted colorization models. Adv. Comput. Math. 45 (3) (2019)
Maryam Yashtini
On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients. Optim. Lett. 10 (6) (2016)
William W. Hager, Maryam Yashtini, Hongchao Zhang
An O(1/k) Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm. SIAM J. Numer. Anal. 54 (3) (2016)
Maryam Yashtini, Sung Ha Kang
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting. SIAM J. Imaging Sci. 9 (4) (2016)
Maryam Yashtini, Sung Ha Kang
Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising. SSVM (2015)
Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, Hongchao Zhang
Bregman operator splitting with variable stepsize for total variation image reconstruction. Comput. Optim. Appl. 54 (2) (2013)
Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye
Partially parallel MR image reconstruction using sensitivity encoding. ICIP (2012)
Alaeddin Malek, Maryam Yashtini
Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network. Neurocomputing 73 (4-6) (2010)
Alaeddin Malek, Maryam Yashtini
A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications. ISNN (3) (2009)
Maryam Yashtini, Alaeddin Malek
A discrete-time neural network for solving nonlinear convex problems with hybrid constraints. Appl. Math. Comput. 195 (2) (2008)
Maryam Yashtini, Alaeddin Malek
Solving complementarity and variational inequalities problems using neural networks. Appl. Math. Comput. 190 (1) (2007)