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Inverse Statistics of Active Matter Trajectories to Distinguish Interaction Kernel Anisotropy from Emergent Correlations. [PDF]
Martina-Perez SF.
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First Zagreb energy of self-looped graphs: predictive insights into kidney infection drugs and theoretical bounds. [PDF]
Yashaswini L, Rakshith BR, Nagaraja P.
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Cystic fibrosis mental health and wellness questionnaire - factors and properties of a comprehensive CF-specific self-report measure. [PDF]
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On an Anisotropic Eigenvalue Problem
Results in Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhenhai Liu, Nikolaos S. Papageorgiou
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On the higher eigenvalues for the $\infty$ -eigenvalue problem
Calculus of Variations and Partial Differential Equations, 2005The authors consider a nonlinear eigenvalue problem associated with a limiting version of the \(p\)-Laplacian for \(p=\infty\). Namely, if \(\Omega\) is an open subset of \(\mathbb R^n\), \(S_{n\times n}\) is the set of \(n\times n\) real symmetric matrices with real entries, the authors consider the nonlinear problem \( F_{\Lambda}(u,Du,D^2u)=0\) in \(
Juutinen, Petri, Lindqvist, Peter
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Dependence of Eigenvalues on the Problem
Mathematische Nachrichten, 1997AbstractThe eigenvalues of linear, regular, two point boundary value problems depend continuously on the problem. In the important self‐adjoint case studied by Naimark and Weidmann this dependence is differentiable and the derivatives of the eigenvalues with respect to a given parameter: an endpoint, a boundary condition, a coefficient, or the weight ...
Kong, Q., Wu, H., Zettl, A.
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SIAM Review, 1998
In the inverse eigenvalue problem, one has to construct a matrix with a (partially) given spectrum. The problem appears in many different forms and in many different applications. Usually the problem is constrained in the sense that the matrix \(M\) that one wants to find has to be in a certain class. For example it should be of the form \(M=A+X\) or \(
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In the inverse eigenvalue problem, one has to construct a matrix with a (partially) given spectrum. The problem appears in many different forms and in many different applications. Usually the problem is constrained in the sense that the matrix \(M\) that one wants to find has to be in a certain class. For example it should be of the form \(M=A+X\) or \(
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On a controlled eigenvalue problem
Systems & Control Letters, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anup Biswas, Vivek S. Borkar
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