Results 11 to 20 of about 96,570 (315)
Complexity of Weighted Approximation over Rd [PDF]
AbstractWe study approximation of multivariate functions defined over Rd. We assume that all rth order partial derivatives of the functions considered are continuous and uniformly bounded. Approximation algorithms U(f) only use the values of f or its partial derivatives up to order r.
Grzegorz W. Wasilkowski +1 more
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Weighted sparsity and sparse tensor networks for least squares approximation [PDF]
The approximation of high-dimensional functions is a ubiquitous problem in many scientific fields that is only feasible practically if advantageous structural properties can be exploited. One prominent structure is sparsity relatively to some basis.
Trunschke, Philipp +2 more
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On weighted approximation with Jacobi weights [PDF]
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Kirill A. Kopotun +2 more
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Weighted approximation in $$\mathbb {C}$$ [PDF]
We prove that if $\{ φ_j\}_j$ is a sequence of subharmonic functions which are increasing to some subharmonic function $φ$ in $\mathbb{C}$, then the union of all the weighted Hilbert spaces $H(φ_j)$ is dense in the weighted Hilbert space $H(φ)$.
Fornæss, John Erik, Wu, Jujie
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Approximation Algorithms for Directed Weighted Spanners [PDF]
In the pairwise weighted spanner problem, the input consists of a weighted directed graph on n vertices, where each edge is assigned both a cost and a length. Furthermore, we are given k terminal vertex pairs and a distance constraint for each pair.
Lin, Young-San +2 more
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Weighted averaging and stochastic approximation [PDF]
The authors investigate the relations between weighted averaging and stochastic approximation (SA) algorithms. First, they define the weighted averaging operator and introduce two properties of the operator: regularity and effectiveness. They establish necessary and sufficient conditions on a sequence for convergence of its average.
I-Jeng Wang +2 more
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Algorithms and literate programs for weighted low-rank approximation with missing data [PDF]
Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan, Ivan Markovsky
core +1 more source
A Constant-Factor Approximation for Weighted Bond Cover [PDF]
The Weighted ℱ-Vertex Deletion for a class ℱ of graphs asks, weighted graph G, for a minimum weight vertex set S such that G-S ∈ ℱ. The case when ℱ is minor-closed and excludes some graph as a minor has received particular attention but a constant-factor
Thilikos, Dimitrios M. +3 more
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Approximating Power by Weights [PDF]
Determining the power distribution of the members of a shareholder meeting or a legislative committee is a well-known problem for many applications. In some cases it turns out that power is nearly proportional to relative voting weights, which is very beneficial for both theoretical considerations and practical computations with many members.
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Approximate maximum weight branchings [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amitabha Bagchi +2 more
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