Results 251 to 260 of about 133,879 (298)

Editorial for "MRI Diffusion Tensor Image Analysis Along the Perivascular Space: Effects of Mean Tract Orientation Divergence". [PDF]

J Magn Reson Imaging
Nakamichi R, Taoka T, Naganawa S.
europepmc   +1 more source

Decoupling Size from Shape: Cellular Sheaf Laplacians as Ligand Geometry Descriptors for Binding Affinity Prediction. [PDF]

Int J Mol Sci
Akgüller Ö, Balcı MA, Cioca G.
europepmc   +1 more source

An Adaptive Detection Algorithm for Non-Uniform Sea Clutter Background Targets Based on Iterative Weighting and Sample Purification. [PDF]

Sensors (Basel)
Su H, Zhang L, Zhao C, Li K.
europepmc   +1 more source

Predicting instabilities in transient landforms and interconnected ecosystems. [PDF]

Nat Commun
Smith T, Morr A, Bookhagen B, Boers N.
europepmc   +1 more source

Compact dual-slot antenna with enhanced bandwidth for multi-band wireless and satellite systems. [PDF]

Sci Rep
Shivakumar BR, Pallavi M.
europepmc   +1 more source

Guaranteed Eigenvalue Bounds for the Steklov Eigenvalue Problem [PDF]

SIAM Journal on Numerical Analysis, 2019
To provide mathematically rigorous eigenvalue bounds for the Steklov eigenvalue problem, an enhanced version of the eigenvalue estimation algorithm developed by the third author is proposed, which removes the requirements of the positive definiteness of bilinear forms in the formulation of eigenvalue problems.
Hehu Xie, Xuefeng Liu
exaly   +4 more sources

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On Eigenvalue Optimization

SIAM Journal on Optimization, 1995
Summary: We study optimization problems involving eigenvalues of symmetric matrices. One of the difficulties with numerical analysis of such problems is that the eigenvalues, considered as functions of a symmetric matrix, are not differentiable at those points where they coalesce. We present a general framework for a smooth (differentiable) approach to
Alexander Shapiro 0001, Michael K. H. Fan   +1 more
openaire   +1 more source

On the higher eigenvalues for the $\infty$ -eigenvalue problem

Calculus of Variations and Partial Differential Equations, 2005
The 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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Product Eigenvalue Problems [PDF]

SIAM Review, 2005
Summary: Many eigenvalue problems are most naturally viewed as product eigenvalue problems. The eigenvalues of a matrix \(A\) are wanted, but \(A\) is not given explicitly. Instead it is presented as a product of several factors: \(A = A_{k}A_{k-1}\dots A_{1}\). Usually more accurate results are obtained by working with the factors rather than forming \
David S Watkins
exaly   +3 more sources