DOUBLE-VARIABLE TRACE MAXIMIZATION FOR EXTREME GENERALIZED SINGULAR QUARTETS OF A MATRIX PAIR: A GEOMETRIC METHOD

Scaled Proximal Gradient Methods for Sparse Optimization Problems

A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold

A mixed precision Jacobi method for the symmetric eigenvalue problem

Single-pass randomized QLP decomposition for low-rank approximation

Stable determination of an elastic medium scatterer by a single far-field measurement and beyond

Randomized Quaternion QLP Decomposition for Low-Rank Approximation

A Riemannian inexact Newton dogleg method for constructing a symmetric nonnegative matrix with prescribed spectrum

A modified orthogonal matching pursuit for construction of sparse probabilistic boolean networks

A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint

GEOMETRIC INEXACT NEWTON METHOD FOR GENERALIZED SINGULAR VALUES OF GRASSMANN MATRIX PAIR

EFFECTIVE MEDIUM THEORY FOR EMBEDDED OBSTACLES IN ELASTICITY WITH APPLICATIONS TO INVERSE PROBLEMS

A COLUMNWISE UPDATE ALGORITHM FOR SPARSE STOCHASTIC MATRIX FACTORIZATION

Condition numbers for the truncated total least squares problem and their estimations

Penalized -regression-based bicluster localization

A modified optimization method for robust partial quadratic eigenvalue assignment using receptances and system matrices

A Riemannian inexact Newton-CG method for stochastic inverse singular value problems

A Riemannian derivative-free Polak-Ribiere-Polyak method for tangent vector field

Riemannian Newton-CG methods for constructing a positive doubly stochastic matrix from spectral data*

A geometric Gauss-Newton method for least squares inverse eigenvalue problems

Riemannian Newton-CG methods for constructing a positive doubly stochastic matrix from spectral data

Perturbation analysis of an eigenvector-dependent nonlinear eigenvalue problem with applications

A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata

A structure-preserving one-sided Jacobi method for computing the SVD of a quaternion matrix

A Riemannian inexact Newton-CG method for constructing a nonnegative matrix with prescribed realizable spectrum

Minimum norm partial quadratic eigenvalue assignment for vibrating structures using receptances and system matrices

Partial quadratic eigenvalue assignment in vibrating structures using receptances and system matrices

A structure-preserving Jacobi algorithm for quaternion Hermitian eigenvalue problems

Robust partial quadratic eigenvalue assignment with time delay using the receptance and the system matrices

Discriminative Lasso

A geometric nonlinear conjugate gradient method for stochastic inverse eigenvalue problems

A Riemannian Fletcher-Reeves conjugate gradient method for doubly stochastic inverse eigenvalue problems

Superoptimal Preconditioners for Functions of Matrices

Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata

A riemannian Newton algorithm for nonlinear eigenvalue problems

A fast alternating minimization algorithm for total variation deblurring without boundary artifacts

On nonsingularity of block two-by-two matrices

Applications of the alternating direction method of multipliers to the semidefinite inverse quadratic eigenvalue problem with a partial eigenstructure

A note on simple nonzero finite generalized singular values

Minimum norm partial quadratic eigenvalue assignment with time delay in vibrating structures using the receptance and the system matrices

On the alternating direction method of multipliers for nonnegative inverse eigenvalue problems with partial eigendata

A regularized directional derivative-based Newton method for inverse singular value problems

A multi-step hybrid method for multi-input partial quadratic eigenvalue assignment with time delay

Nonnegative inverse eigenvalue problems with partial eigendata

FAST PRECONDITIONERS FOR TOTAL VARIATION DEBLURRING WITH ANTIREFLECTIVE BOUNDARY CONDITIONS

Optimization methods for partial quadratic eigenvalue assignment in vibrations

AN ULM-LIKE METHOD FOR INVERSE SINGULAR VALUE PROBLEMS

Robust and minimum norm partial quadratic eigenvalue assignment in vibrating systems: A new optimization approach

A Coordinate Gradient Descent Method for Nonsmooth Nonseparable Minimization

A smoothing Newton's method for the construction of a damped vibrating system from noisy test eigendata

An inexact Newton-type method for inverse singular value problems

Symmetric tridiagonal inverse quadratic eigenvalue problems with partial eigendata

Constructing the physical parameters of a damped vibrating system from eigendata

A dual optimization approach to inverse quadratic eigenvalue problems with partial eigenstructure

Computing the nearest doubly stochastic matrix with a prescribed entry