Results 101 to 110 of about 5,647,728 (213)

Application of semidefinite programming to truss design optimization / Santvaros optimizavimo uždavinių sprendimas taikant pusiau apibrėžtą programavimą

Mokslas: Lietuvos Ateitis, 2015
Semidefinite Programming (SDP) is a fairly recent way of solving optimization problems which are becoming more and more important in our fast moving world. It is a minimization of linear function over the intersection of the cone of positive semidefinite
Rasa Giniūnaitė
doaj   +1 more source

On cone of nonsymmetric positive semidefinite matrices

Linear Algebra and its Applications, 2010
A square real matrix is called a \(P_0\) (\(P\)) matrix if all its principal minors are nonnegative (positive). Let \(\mathcal P_0\) and \(\mathcal P\) denote the classes of \(P_0\) and \(P\) matrices, respectively. The authors study the cone of nonsymmetric positive semidefinite matrices (NS-psd cone).
Wang, Yingnan, Xiu, Naihua, Han, Jiye
openaire   +1 more source

More information, less precision: Meta‐analysis through random effects

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract When several studies or other inputs estimate the same quantity, additional information need not increase precision once the inputs reveal heterogeneity that was not assumed in advance. We study this point in a Gaussian random‐effects model estimated by maximum likelihood.
Jan R. Magnus, Andrey L. Vasnev
wiley   +1 more source

Semidefinite Programming Approaches to Hankel Matrix Approximation and Completion via Primal–Dual Interior-Point Methods

Journal of Mathematics
Data completion techniques offer numerous advantages in various fields. However, completing large datasets that must satisfy specific criteria can be challenging, necessitating the use of approximative completion methods.
Hajar A. Alshaikh, Mohammed M. Alshahrani, Suliman S. Al-Homidan   +2 more
doaj   +1 more source

Operational Choices for Risk Aggregation in Insurance: PSDization and SCR Sensitivity

Risks, 2018
This work addresses crucial questions about the robustness of the PSDization process for applications in insurance. PSDization refers to the process that forces a matrix to become positive semidefinite.
Xavier Milhaud, Victorien Poncelet, Clement Saillard   +2 more
doaj   +1 more source

Approximation by matrices positive semidefinite on a subspace

Linear Algebra and its Applications, 1988
The authors study the following problem: Let \(A\in {\mathbb{R}}^{n\times n}\), \(S\in {\mathbb{R}}^{n\times p ...
Hayden, T.L., Wells, Jim
openaire   +1 more source

Selector form of Weaver's conjecture and frame sparsification

Proceedings of the London Mathematical Society, Volume 133, Issue 5, November 2026.
Abstract We show an extension of a probabilistic result of Marcus, Spielman, and Srivastava, which resolved the Kadison–Singer problem, to block diagonal positive semidefinite random matrices. We use this result to show several selector results, which generalize their partition counterparts.
Marcin Bownik
wiley   +1 more source

Using matrix analysis to understand competition in food webs and antimicrobial resistance networksUsing matrix analysis to understand competition in food webs and antimicrobial resistance networks [PDF]

Royal Society Open Science
Indirect competition is a fundamental mechanism shaping the structure of biological systems, from food webs to antimicrobial resistance (AMR) networks. Translating directed interaction data into a quantitative measure of competition remains a modelling ...
Hussein Al-Taani, Mohammad Abudayah, Walid A Al-Zyoud, Ismail Abushaikha   +3 more
doaj   +1 more source

Non‐Central Wishart Random Matrices in Structural Dynamics: A Modal‐Basis Approach

International Journal for Numerical Methods in Engineering, Volume 127, Issue 20, 30 October 2026.
ABSTRACT This article develops a non‐parametric stochastic computational model for linear structural dynamics based on a reduced non‐central Wishart (NCW) random matrix formulation. The objective is to represent uncertainty in the mass and stiffness matrices while preserving the matrix properties required for modal and frequency‐domain analysis ...
Alan Das Mannoosseril, Sondipon Adhikari, H. Murat Panayirci   +2 more
wiley   +1 more source

Some inequalities for unitarily invariant norms of matrices

Journal of Inequalities and Applications, 2011
This article aims to discuss inequalities involving unitarily invariant norms. We obtain a refinement of the inequality shown by Zhan. Meanwhile, we give an improvement of the inequality presented by Bhatia and Kittaneh for the Hilbert-Schmidt norm ...
Wang Shaoheng, Zou Limin, Jiang Youyi
doaj