For large-sized graphs, the second eigenvalue of the ( normalized ) graph Laplacian matrix is often ill-conditioned, leading to slow convergence of iterative eigenvalue solvers.
12.
Despite the success of Thurston's conjecture, practical applications of this method have been hindered by the difficulty of computing circle packings and by its relatively slow convergence rate.
13.
This version of B . A . T . M . A . N . has been shown to exhibit high levels of stability but slightly slow convergence times in real-world conditions; this is confirmed by theoretical analysis.
14.
Low permeability and rapid convergence may result in pore pressures that exceed lithostatic pressure and a relatively weak accretionary prism with a shallowly tapered geometry, whereas high permeability and slow convergence result in lower pore pressure, stronger prisms, and steeper geometry.
15.
For high-resolution images, the second eigenvalue is often ill-conditioned, leading to slow convergence of iterative eigenvalue solvers, such as the Lanczos algorithm . Preconditioning is a key technology accelerating the convergence, e . g ., in the matrix-free LOBPCG method.
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