Tudóstér: Noszály Csaba publikációi

Fazekas, I., Barta, A., Noszály, C., Porvázsnyik, B.: A continuous-time network evolution model describing 3-interactions.
Commun. Stat.-Theory Methods. 52 (11), 4001-4020, 2023.

Fazekas, I., Barta, A., Noszály, C.: Simulation results on a triangle-based network evolution model.
Ann. Math. Inform. 51 7-15, 2020.

Fazekas, I., Noszály, C., Uzonyi, N.: Taylor's power law for the N-stars network evolution model.
Mod. Stoch.: Theory App. 6 (3), 311-331, 2019.

Fazekas, I., Noszály, C., Perecsényi, A.: The N-star network evolution model.
J. Appl. Probab. 56 (2), 416-440, 2019.

Fazekas, I., Noszály, C., Perecsényi, A.: A population evolution model and its applications to random networks.
Stat. Probab. Lett. 143 17-27, 2018.

Baran, Á., Noszály, C., Vertse, T.: JOZSO, a computer code for calculating broad neutron resonances in phenomenological nuclear potentials.
Comput. Phys. Commun. 228 185-191, 2018.

Barczy, M., Nagy, Á., Noszály, C., Vincze, C.: A Robbins-Monro-type algorithm for computing global minimizer of generalized conic functions.
Optimization. 64 (9), 1999-2020, 2015.

Baran, Á., Noszály, C., Salamon, P., Vertse, T.: Calculating broad neutron resonances in a cut-off Woods-Saxon potential.
Eur. Phys. J. A. 51 (7), 76, 2015.

Fazekas, I., Noszály, C., Perecsényi, A.: Weights of Cliques in a Random Graph Model Based on Three-Interactions.
Lith. Math. J. 55 (2), 207-221, 2015.

Noszály, C.: Empirical results on distance of two-dimensional samples.
Stud. Sci. Math. Hung. 50 (4), 413-422, 2013.

Noszály, C., Tómács, T.: A general approach to strong laws of large numbers for fields of random variables.
Ann. Univ. Sci. Bp. Rolando Eötvös Nomin., Sect. math. 43 (2000), 61-78, 2000.