Results 31 to 40 of about 457,945 (310)

Efficient Space–Time Reduced Order Model for Linear Dynamical Systems in Python Using Less than 120 Lines of Code

open access: yesMathematics, 2021
A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem. Recently, a novel space–time ROM for linear dynamical problems has been developed [Choi et al., Space–tume reduced order model ...
Youngkyu Kim, Karen Wang, Youngsoo Choi
doaj   +1 more source

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

Linear programming bounds for doubly-even self-dual codes [PDF]

open access: yes, 1997
Using a variant of linear programming method we derive a new upper bound on the minimum distance d of doubly-even self-dual codes of length n. Asymptotically, for n growing, it gives d/n
Krasikov, I, Simon Litsyn, Ilia Krasikov
core   +1 more source

Extending Quantum Error Correction: New Continuous Measurement Protocols and Improved Fault-Tolerant Overhead [PDF]

open access: yes, 2004
Quantum mechanical applications range from quantum computers to quantum key distribution to teleportation. In these applications, quantum error correction is extremely important for protecting quantum states against decoherence.
Ahn, Charlene Sonja
core   +1 more source

Error bounds for linear complementarity problems of weakly chained diagonally dominant B-matrices

open access: yesJournal 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   +1 more source

On Robust Global Error Bounds for a Class of Uncertain Piecewise Linear Inequality Systems

open access: yesAxioms, 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

On an exact penality result and new constraint qualifications for mathematical programs with vanishing constraints [PDF]

open access: yesYugoslav Journal of Operations Research, 2019
In this paper, we considered the mathematical programs with vanishing constraints or MPVC. We proved that an MPVC-tailored penalty function, introduced in [5], is still exact under a very weak and new constraint qualification.
Nath Triloki, Khare Abeka
doaj   +1 more source

Development of Frequency Weighted Model Order Reduction Techniques for Discrete-Time One-Dimensional and Two-Dimensional Linear Systems With Error Bounds

open access: yesIEEE Access, 2022
Frequency weighted model reduction framework pretested by Enns yields an unstable reduced order model. Researchers demonstrated several stability preserving techniques to address this main shortcoming, ensuring the stability of one-dimensional and two ...
Muhammad Imran   +2 more
doaj   +1 more source

On the influence of detection tests on deterministic parameters estimation [PDF]

open access: yes, 2006
In non-linear estimation problems three distinct regions of operation can be observed. In the asymptotic region, the Mean Square Error (MSE) of Maximum Likelihood Estimators (MLE) is small and, in many cases,close to the Cramer-Rao bound (CRB).
Chaumette, Eric   +5 more
core   +1 more source

Error bound on an estimator of position [PDF]

open access: yes, 2016
A lower bound on the error of a positional estimator with limited positional information is ...
Gerland, Ulrich   +2 more
core   +1 more source

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