Results 21 to 30 of about 1,846,959 (284)

Approximation with Error Bounds in Spark [PDF]

open access: yes2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2019
We introduce a sampling framework to support approximate computing with estimated error bounds in Spark. Our framework allows sampling to be performed at the beginning of a sequence of multiple transformations ending in an aggregation operation. The framework constructs a data provenance tree as the computation proceeds, then combines the tree with ...
Guangyan Hu   +3 more
openaire   +2 more sources

Higher-order error bound for the difference of two functions

open access: yesJournal of Inequalities and Applications, 2018
Error bounds play an important role in the research of mathematical programming. Using some techniques of nonsmooth analysis, we establish some results on the existence of higher-order error bounds for difference functions with set constraints.
Hui Huang, Mengxue Xia
doaj   +1 more source

Graph summarization with bounded error [PDF]

open access: yesProceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008
We propose a highly compact two-part representation of a given graph G consisting of a graph summary and a set of corrections. The graph summary is an aggregate graph in which each node corresponds to a set of nodes in G, and each edge represents the edges between all pair of nodes in the two sets.
Saket Navlakha   +2 more
openaire   +1 more source

Perturbations of an Ostrowski type inequality and applications

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2002
Two perturbations of an Ostrowski type inequality are established. New error bounds for the mid-point, trapezoid, and Simpson quadrature rules are derived. These error bounds can be much better than some recently obtained bounds.
Nenad Ujević
doaj   +1 more source

Dimension-adaptive bounds on compressive FLD Classification [PDF]

open access: yes, 2013
Efficient dimensionality reduction by random projections (RP) gains popularity, hence the learning guarantees achievable in RP spaces are of great interest.
Kabán, Ata   +3 more
core   +1 more source

Error bounds for general mixed quasivariational inequalities

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2005
It is well known that mixed quasivariational inequalities are equivalent to the implicit fixed-point problems. We use this alternative equivalent formulation to suggest and consider some merit functions for general mixed quasivariational inequalities. We
Muhammad Aslam Noor, Khalida Inayat Noor
doaj   +1 more source

Computable error bounds with improved applicability conditions for collocation methods

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1998
This paper is concerned with error bounds for numerical solution of linear ordinary differential equation using collocation method. It is shown that if the differential operator is split in different operator forms then the applicability conditions for ...
A. H. Ahmed
doaj   +1 more source

Fast quantum measurement tomography with optimal error bounds [PDF]

open access: yesQuantum
We present a two-step protocol for quantum measurement tomography that is light on classical co-processing cost and still achieves optimal sample complexity.
Leonardo Zambrano   +2 more
doaj   +1 more source

Subdivision Depth Computation for Tensor Product n-Ary Volumetric Models

open access: yesAbstract and Applied Analysis, 2011
We offer computational formula of subdivision depth for tensor product n-ary (n⩾2) volumetric models based on error bound evaluation technique. This formula provides and error control tool in subdivision schemes over regular hexahedron lattice in higher ...
Ghulam Mustafa, Muhammad Sadiq Hashmi
doaj   +1 more source

Computable lower bounds for deterministic parameter estimation [PDF]

open access: yes, 2007
This paper is primarily tutorial in nature and presents a simple approach(norm minimization under linear constraints) for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds. We also
Chaumette, Eric   +7 more
core   +1 more source

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