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ORCIDMiroslav Vorechovský
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2020 – today
- 2024
[j13]Jan Masek, Miroslav Vorechovský
:
Stratified sample tiling. Adv. Eng. Softw. 189: 103593 (2024)- [j12]Miroslav Vorechovský, Adam Ciszkiewicz:
Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification. J. Comput. Sci. 82: 102425 (2024) - 2023
- [i4]Lukás Novák, Michael D. Shields, Václav Sadílek, Miroslav Vorechovský:
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion. CoRR abs/2301.13635 (2023) - [i3]Aleksei Gerasimov, Miroslav Vorechovský:
Failure Probability Estimation and Detection of Failure Surfaces via Adaptive Sequential Decomposition of the Design Domain. CoRR abs/2304.05475 (2023) - 2022
- [i2]Miroslav Vorechovský:
Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces. CoRR abs/2208.02475 (2022) - 2021
- [j11]Petr Henys, Miroslav Vorechovský, Michal Kuchar, Axel Heinemann, Jirí Kopal, Benjamin Ondruschka, Niels Hammer:
Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence. Comput. Methods Programs Biomed. 210: 106353 (2021) - 2020
- [j10]Miroslav Vorechovský, Jan Masek:
Distance-based optimal sampling in a hypercube: Energy potentials for high-dimensional and low-saturation designs. Adv. Eng. Softw. 149: 102880 (2020) - [j9]Jan Eliás, Miroslav Vorechovský, Václav Sadílek:
Periodic version of the minimax distance criterion for Monte Carlo integration. Adv. Eng. Softw. 149: 102900 (2020) - [j8]Miroslav Vorechovský, Jan Eliás:
Modification of the Maximin and ϕp (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points. Technometrics 62(3): 371-386 (2020) - [i1]Jan Eliás, Miroslav Vorechovský:
Fracture in random heterogeneous media: I. Discrete mesoscale simulations of load capacity and active zone. CoRR abs/2002.01804 (2020)
2010 – 2019
- 2019
- [j7]Jan Masek, Miroslav Vorechovský:
Approximation of Voronoï cell attributes using parallel solution. Adv. Eng. Softw. 132: 7-17 (2019) - [j6]Miroslav Vorechovský, Jan Masek, Jan Eliás:
Distance-based optimal sampling in a hypercube: Analogies to N-body systems. Adv. Eng. Softw. 137 (2019) - 2018
- [j5]Jan Masek, Miroslav Vorechovský:
Parallel implementation of hyper-dimensional dynamical particle system on CUDA. Adv. Eng. Softw. 125: 178-187 (2018) - 2016
- [j4]Jan Eliás, Miroslav Vorechovský:
Modification of the Audze-Eglājs criterion to achieve a uniform distribution of sampling points. Adv. Eng. Softw. 100: 82-96 (2016) - 2015
- [j3]Miroslav Vorechovský:
Hierarchical Refinement of Latin Hypercube Samples. Comput. Aided Civ. Infrastructure Eng. 30(5): 394-411 (2015) - 2014
- [j2]Drahomír Novák, Miroslav Vorechovský, Bretislav Teplý:
FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module. Adv. Eng. Softw. 72: 179-192 (2014) - 2013
- [j1]Rostislav Chudoba, Václav Sadílek, R. Rypl, Miroslav Vorechovský:
Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs. Comput. Phys. Commun. 184(2): 414-427 (2013)
Coauthor Index
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