Results 81 to 90 of about 6,368,085 (214)
Abstract and Applied Analysis, 2014 We consider the problem of seeking a symmetric positive semidefinite matrix in a closed convex set to approximate a given matrix. This problem may arise in several areas of numerical linear algebra or come from finance industry or statistics and thus has
Minghua Xu +3 more
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Positive semidefinite matrix completion, universal rigidity and the Strong Arnold Property
Linear Algebra and its Applications, 2014 This paper addresses the following three topics: positive semidefinite (psd) matrix completions, universal rigidity of frameworks, and the Strong Arnold Property (SAP). We show some strong connections among these topics, using semidefinite programming as unifying theme.
M. Laurent (Monique) +1 more
openaire +4 more sources
Optimal Fisheries Management Using Transferable Shares of a Convex Tax
Natural Resource Modeling, Volume 39, Issue 4, November 2026.ABSTRACT In this paper, we propose a fishery control scheme that happens to be first best in the context of a Gordon‐Schaefer model with asymmetric information about effort/harvesting costs. It is widely acknowledged that in the absence of regulations, competition between vessels leads to a competitive game wherein the outcome is inefficient.
Helge Berglann +2 more
wiley +1 more source
Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 10, Page 1671-1685, October 2026.ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley +1 more source
Advanced p-numerical radius bounds through partitioned matrix methodologies
Results in Applied MathematicsThe present investigation develops novel upper limits for the p-numerical radius of linear transformations through sophisticated partitioned matrix methodologies.
Raja’a Al-Naimi
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Campbell Systematic Reviews, 2020 With increased use of multivariate meta‐analysis in numerous disciplines, where structural relationships among multiple variables are examined, researchers often encounter a particular challenge due to missing information.
Soyeon Ahn, John M. Abbamonte
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Optimal solution of the nearest correlation matrix problem by minimization of the maximum norm [PDF]
The nearest correlation matrix problem is to find a valid (positive semidefinite) correlation matrix, R(m,m), that is nearest to a given invalid (negative semidefinite) or pseudo-correlation matrix, Q(m,m); m larger than 2.
Mishra, SK
core
A class of positive semidefinite matrices [PDF]
, 1987 A matrix [aij(α)xij] is shown to be positive semidefinite or positive definite if the matrix [xij] is positive semidefinite or positive definite and aij(α) belongs to a large class of functions of α.
Upton, C.J.F., Russell, A.M.
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International Journal of Robust and Nonlinear Control, Volume 36, Issue 15, Page 7088-7101, October 2026.ABSTRACT This paper presents novel results regarding the input–output finite‐time stability (IO‐FTS) of nonlinear quadratic systems (NLQSs), a class of dynamical models particularly useful for the study of robotic systems, biochemical reaction networks, and other processes of interest to the applied sciences.
Alessio Merola +5 more
wiley +1 more source
A new generalization of two refined Young inequalities and applications
Moroccan Journal of Pure and Applied Analysis, 2020 In this paper, we prove that if a, b > 0 and 0 ≤ α ≤ 1, then for m = 1, 2, 3, . . . ,
Ighachane M. A., Akkouchi M.
doaj +1 more source