Miklós Emil Mincsovics - ODT Personal data sheet


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VALIDITY EXPIRED
personal data approved: 2021. VII. 03.

Personal data

name	Miklós Emil Mincsovics
name of institution	Budapest University of Technology and Economics
doctoral school	BME Doctoral School of Mathematics and Computer Sciences (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. )
the share of work in the different doctoral schools.	BME Doctoral School of Mathematics and Computer Sciences 100%

Contact details
E-mail address	m.e.mincsovicsgmail.com
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2014
discipline to which degree belongs	mathematics and computing
institution granting the degree	ELTE

Employment
2013 -	Budapest University of Technology and Economics university professor or researcher
2012 -	MTA-ELTE NUMNET Research Group other (not specified) (kutató)

Thesis topic supervisor
number of doctoral students supervised until now	0.5
number of students who fulfilled course requirements	0.5
students who obtained their degrees:

Research
research area	numerical analysis, numerical solution of ODEs and PDEs, discrete maximum principles, stability of LMMs
research field in which current research is conducted	mathematics and computing

Publications

2020

Mincsovics Miklós E.: Discrete C 1 convergence of linear multistep methods, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 363: pp. 234-240.
type of document: Journal paper/Article
language: English
URL

2019

Mincsovics Miklós E.: Spijker’s Example and Its Extension, In: Dimov, Ivan; Faragó, István; Vulkov, Lubin (szerk.) Finite Difference Methods, Springer Nature Switzerland AG (2019) pp. 354-361.
type of document: Part of book/Proceedings Paper
language: English
URL

2018

Faragó I, Mincsovics ME, Mosleh R: Reliable Numerical Modelling of Malaria Propagation, APPLICATIONS OF MATHEMATICS 63: (3) pp. 259-271.
type of document: Journal paper/Article
language: English
URL

2017

Mincsovics ME: Note on the stability of strongly stable linear multistep methods, In: Todorov, MD (szerk.) AIP Conference Proceedings, American Institute of Physics (2017) 110006
type of document: Part of book/Proceedings Paper
language: English
URL

2016

Miklós Emil Mincsovics: Stability of one-step and linear multistep methods - a matrix technique approach, ELECTRONIC JOURNAL OF QUALITATIVE THEORY OF DIFFERENTIAL EQUATIONS 2016: 15
type of document: Journal paper/Article
language: English
URL

2013

Horváth Tamás, Mincsovics M E: Discrete maximum principle for interior penalty discontinuous Galerkin methods, CENTRAL EUROPEAN JOURNAL OF MATHEMATICS 11: (4) pp. 664-679.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL

2012

Faragó I, Mincsovics M, Fekete I: Notes on the basic notions in nonlinear numerical analysis, ELECTRONIC JOURNAL OF QUALITATIVE THEORY OF DIFFERENTIAL EQUATIONS 6: pp. 1-22.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 2
language: English
URL

2012

Mincsovics Miklós E, Horváth Tamás L: On the differences of the discrete weak and strong maximum principles for elliptic operators, In: Lirkov, Ivan; Margenov, Svetozar; Waśniewski, Jerzy (szerk.) Large-scale scientific computing, Springer-Verlag Wien (2012) pp. 614-621.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL

2010

Mincsovics M. E.: Discrete and continuous maximum principles for parabolic and elliptic operators, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 235: (2) pp. 470-477.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2010

Mincsovics M. E.: Discrete maximum principle for finite element parabolic operators, In: Szerk.: Lirkov Ivan, Szerk.: Margenov Svetozar, Szerk.: Wasniewski Jerzy 7th International Conference on Large-Scale Scientific Computations, LSSC 2009. Berlin; Heidelberg: Springer Verlag, 2010. pp. 604-612. (Lecture Notes in Computer Science; 5910.)
type of document: Part of book/Proceedings Paper
language: English
DOI

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Scientometric data

list of publications and citations

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monographs and professional books:

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publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

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