Results 1 to 10 of about 82,940 (314)
Error bounds for linear complementarity problems of weakly chained diagonally dominant B-matrices [PDF]
Journal of Inequalities and Applications, 2017 In this paper, new error bounds for the linear complementarity problem are obtained when the involved matrix is a weakly chained diagonally dominant B-matrix. The proposed error bounds are better than some existing results.
Feng Wang
doaj +2 more sources
Simplified error bounds for turning point expansions [PDF]
, 2021 : Recently, the present authors derived new asymptotic expansions for linear differential equations having a simple turning point. These involve Airy functions and slowly varying coefficient functions, and were simpler than previous approximations, in ...
Dunster, T. M. +5 more
core +1 more source
Characterizations of Stability of Error Bounds for Convex Inequality Constraint Systems
Open Journal of Mathematical Optimization, 2022 In this paper, we mainly study error bounds for a single convex inequality and semi-infinite convex constraint systems, and give characterizations of stability of error bounds via directional derivatives. For a single convex inequality, it is proved that
Wei, Zhou, Théra, Michel, Yao, Jen-Chih
doaj +1 more source
New perspectives on covariant quantum error correction [PDF]
Quantum, 2021 Covariant codes are quantum codes such that a symmetry transformation on the logical system could be realized by a symmetry transformation on the physical system, usually with limited capability of performing quantum error correction (an important case ...
Sisi Zhou, Zi-Wen Liu, Liang Jiang
doaj +1 more source
On Robust Global Error Bounds for a Class of Uncertain Piecewise Linear Inequality Systems
Axioms, 2022 This paper is concerned with the radius of robust global error bounds for an uncertain piecewise linear inequality system where the uncertain data are assumed to be in polytope uncertain sets.
Wen Tan, Xiaole Guo, Xiangkai Sun
doaj +1 more source
Basic bounds on cluster error using distortion-rate
Machine Learning with Applications, 2021 Clustering is a popular type of unsupervised learning technique that performs natural groupings on samples to generate probably approximately correct groups.
JR. Bhatnagar
doaj +1 more source
Error bounds in stochastic-geometric normal approximation [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 We provide normal approximation error bounds for sums of the form $\sum_x \xi_x$, indexed by the points $x$ of a Poisson process (not necessarily homogeneous) in the unit $d$-cube, with each term $\xi_x$ determined by the configuration of Poisson points ...
Mathew Penrose, Tom Rosoman
doaj +1 more source
A Novel Numerical Method for Computing Subdivision Depth of Quaternary Schemes
Mathematics, 2021 In this paper, an advanced computational technique has been presented to compute the error bounds and subdivision depth of quaternary subdivision schemes.
Aamir Shahzad +5 more
doaj +1 more source
Some characterizations of error bound for non-lower semicontinuous functions
Journal of Inequalities and Applications, 2019 In this paper, we study the error bound of non-lower semicontinuous functions. First, we extend the concepts of strong slope and global slope to the non-lower semicontinuous functions.
Miantao Chao +2 more
doaj +1 more source
Bounds on Autonomous Quantum Error Correction [PDF]
QuantumAutonomous quantum memories are a way to passively protect quantum information using engineered dissipation that creates an “always-on'' decoder. We analyze Markovian autonomous decoders that can be implemented with a wide range of qubit and bosonic ...
Oles Shtanko +4 more
doaj +1 more source