Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jiří Tomčala"'
Autor:
Jiří Tomčala
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2695 (2021)
Accurate prediction methods are generally very computationally intensive, so they take a long time. Quick prediction methods, on the other hand, are not very accurate. Is it possible to design a prediction method that is both accurate and fast? In th
Externí odkaz:
https://doaj.org/article/5ee32ce0d4fe482492d1e8f7ac0030f3
Autor:
Jiří Tomčala
Publikováno v:
Entropy, Vol 22, Iss 8, p 863 (2020)
Approximate Entropy and especially Sample Entropy are recently frequently used algorithms for calculating the measure of complexity of a time series. A lesser known fact is that there are also accelerated modifications of these two algorithms, namely
Externí odkaz:
https://doaj.org/article/8ba0d171113540feb7e4b912db5ac61a
Publikováno v:
Advances in Engineering Software. 129:57-68
This paper describes various methods for increasing the computational speed of an existing fatigue solver called PragTic. The paper describes the basic workflow of computational fatigue analysis, including multiaxial fatigue analysis as well. It docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca1731cfbec1466e91f2ab0b579be66
https://doi.org/10.1016/j.advengsoft.2018.06.009
https://doi.org/10.1016/j.advengsoft.2018.06.009
Autor:
Jiří Tomčala
Publikováno v:
The Journal of Supercomputing. 75:1443-1454
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced: Fast Approximate Entropy and Fast Sample Entropy. Their main advantage is their lower time complexity. Examples considered in the paper include inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eedd065aaf602af3afa18c7e44eb156
https://doi.org/10.1007/s11227-018-2657-2
https://doi.org/10.1007/s11227-018-2657-2
Autor:
Jiří Tomčala
Publikováno v:
Journal of Physics: Conference Series. 2090:012087
This work describes various methods of time series prediction. It illustrates the differences between machine learning methods, nonlinear algorithms, and statistical methods in their approach to prediction, and tries to explain in depth the principle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263277a95cdbb185df14ff130a81441e
https://doi.org/10.1088/1742-6596/2090/1/012087
https://doi.org/10.1088/1742-6596/2090/1/012087
Autor:
Jiří Tomčala
Publikováno v:
Chaos and Complex Systems ISBN: 9783030354404
This paper examines the relationship between time series predictability and development of its entropy. It describes and graphically illustrates the principle of both algorithms and derives their logical connection based on this. This deduced hypothe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561283f3f410ba5ed9851e81ec52b3ad
https://doi.org/10.1007/978-3-030-35441-1_6
https://doi.org/10.1007/978-3-030-35441-1_6
Autor:
Jiří Tomčala
Publikováno v:
Journal of Physics: Conference Series. 1730:012062
When calculating the Approximate Entropy (ApEn) and the Sample Entropy (SampEn) of a time series, representing the course of supercomputer power consumption, seemingly unexplained abrupt changes sometimes appear. These sudden changes occur when calcu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f0b074dc3e15d39b2dbcb823fc94e7
https://doi.org/10.1088/1742-6596/1730/1/012062
https://doi.org/10.1088/1742-6596/1730/1/012062
Publikováno v:
AIP Conference Proceedings.
The purpose of this paper is to describe the parallelization of PragTic - a fatigue damage simulator. There is a discussion about the former version inefficiency (caused by frequent I/O operations), parallel implementation and parallelized PragTic sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7822a16659a301285a520f859cb9e508
https://doi.org/10.1063/1.5043966
https://doi.org/10.1063/1.5043966
Autor:
Alena Vasatova, Jiří Tomčala, Martin Cermak, David Horák, Vaclav Hapla, Marek Pecha, Jakub Kružík, Radim Sojka
Publikováno v:
Programs and Algorithms of Numerical Mathematics 18.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd50b91346ef3479089062bd26e882c3
https://doi.org/10.21136/panm.2016.18
https://doi.org/10.21136/panm.2016.18