Development and Optimization of Randomized Functional Numerical Methods for Solving the Practically Significant Fredholm Integral Equations of the Second Kind-Reference-Cited by-同舟云学术

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Development and Optimization of Randomized Functional Numerical Methods for Solving the Practically Significant Fredholm Integral Equations of the Second Kind

Published:2018-04 Issue:2 Volume:12 Page:382-394
ISSN:1990-4789
Container-title:Journal of Applied and Industrial Mathematics
language:en
Short-container-title:J. Appl. Ind. Math.

Author:

Voytishek A. V.

Publisher

Pleiades Publishing Ltd

Subject

Applied Mathematics,Industrial and Manufacturing Engineering

Link

http://link.springer.com/content/pdf/10.1134/S1990478918020187.pdf

Reference18 articles.

1. G. A. Mikhailov and A. V. Voytishek, Numerical Statistical Modeling. Monte Carlo Methods (Akademiya, Moscow, 2006) [in Russian].

2. L. V. Kantorovich and G. P. Akilov, Functional Analysis (Nauka, Moscow, 1984; Pergamon, Oxford, 1982).

3. A. V. Voytishek, Functional Estimates of theMonte CarloMethod (Novosibirsk. Gos. Univ., Novosibirsk, 2007) [in Russian].

4. A. A. Borovkov, Probability Theory (Nauka, Moscow, 1986) [in Russian].

5. N. S. Bakhvalov, Numerical Methods (Nauka, Moscow, 1975) [in Russian].

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Kernel Estimators of Probability Densities;Communications in Computer and Information Science;2020

2. On numerical stability of randomized projection functional algorithms;Communications in Statistics - Simulation and Computation;2019-10-16

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