Results 181 to 190 of about 49,764 (200)

Joint rank and positive semidefinite constrained optimization for projection matrix

2014 9th IEEE Conference on Industrial Electronics and Applications, 2014
Sparse signals can be sensed with a reduced number of projections and then reconstructed if compressive sensing is employed. Traditionally, the projection matrix is chosen as a random matrix, but a projection sensing matrix that is optimally designed for a certain class of signals can further improve the reconstruction accuracy.
Qiuwei Li, Shuang Li, Huang Bai, Gang Li, Liping Chang   +4 more
openaire   +1 more source

Shift-invert Lanczos method for the symmetric positive semidefinite Toeplitz matrix exponential

Numerical Linear Algebra with Applications, 2010
Summary: The Lanczos method with shift-invert technique is exploited to approximate the symmetric positive semidefinite Toeplitz matrix exponential. The complexity is lowered by the Gohberg-Semencul formula and the fast Fourier transform. Application to the numerical solution of an integral equation is studied.
Pang, Hong-Kui, Sun, Hai-Wei
openaire   +2 more sources

Positive semidefiniteness of $$D_{\alpha }$$-matrix on some families of graphs

Computational and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gui-Xian Tian, Hui-Lu Sun, Shu-Yu Cui
openaire   +2 more sources

Fallacies in computational testing of matrix positive definiteness/semidefiniteness

IEEE Transactions on Aerospace and Electronic Systems, 1990
The status of computational tests for establishing matrix positive semidefiniteness and positive definiteness is reviewed. Two pervasive real-time tests that have been used for many years in varied applications to ensure that computed covariances encountered in Kalman filter applications are positive definite and discussed.
openaire   +1 more source

Systemic therapy for hormone receptor‐positive/human epidermal growth factor receptor 2‐negative early stage and metastatic breast cancer

Ca-A Cancer Journal for Clinicians, 2023
Laura A Huppert, Hope S Rugo
exaly  

Characterization of a Positive Semidefinite Matrix

Econometric Theory, 1992
openaire   +1 more source

Adaptive Positive Semidefinite Matrix-Based Contribution for Nonlinear Process Diagnosis

Industrial & Engineering Chemistry Research, 2021
Jinchuan Qian, Chihang Wei, Qinghua Zhang, Zhihuan Song   +3 more
openaire   +1 more source

Evolving standards of care and new challenges in the management of HER2‐positive breast cancer

Ca-A Cancer Journal for Clinicians, 2020
Grace M Choong, Grace D Cullen, Ciara C O'sullivan   +2 more
exaly  

Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization

IEEE Transactions on Signal Processing, 2021
Dana Lahat, Vincent Y F Tan, Cédric Févotte   +2 more
exaly  

Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework

SIAM Journal on Optimization, 2001
Mituhiro Fukuda, Kazuo Murota, Kazuhide Nakata   +2 more
exaly