Michał Różański

Dr. Michał Różański

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2017 in Linear Algebra and its Applications
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Journal Article
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MRMichał Różański
Michał Różański
RWRoman Wituła
Roman Wituła
EHEdyta Hetmaniok
Edyta Hetmaniok

1 March 2020 in Journal of Applied Mathematics and Computational Mechanics
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Journal Article
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RWRoman Wituła
Roman Wituła
Damian SlotaDamian Slota
Damian Slota
JMJarosław Matlak
Jarosław Matlak
ACAgata Chmielowska
Agata Chmielowska
MRMichał Różański
Michał Różański
Journal of Applied Mathematics and Computational Mechanics, Prace Naukowe Instytutu Matematyki i Informatyki, Politechnika Częstochowska, Scientific Research of the Institute of Mathematics and Computer Science, Czestochowa University of Technology

13 November 2019 in Open Mathematics
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MRMichał Różański
Michał Różański
The presented paper is strictly connected, among others, with the paper On the sum of some alternating series, Comp. Math. Appl. (2011), written by Wituła and Słota. A problem concerning the form of determinants formulated in the cited paper is solved here. Next, the obtained result is adapted to solve some system of linear equations and the description of the sum of alternating series.

1 June 2017 in Journal of Applied Mathematics and Computational Mechanics
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MRMichał Różański
Michał Różański
ASAlicja Samulewicz
Alicja Samulewicz
MSMarcin Szweda
Marcin Szweda
RWRoman Wituła
Roman Wituła
Journal of Applied Mathematics and Computational Mechanics, Prace Naukowe Instytutu Matematyki i Informatyki, Politechnika Częstochowska, Scientific Research of the Institute of Mathematics and Computer Science, Czestochowa University of Technology

17 December 2020 in Information
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BBBeata Bajorska-Harapińska
Beata Bajorska-Harapińska
Mariusz PleszczyńskiMariusz Pleszczyński
Mariusz Pleszczyński
MRMichał Różański
Michał Różański
BSBarbara Smoleń-Duda
Barbara Smoleń-Duda
ASAdrian Smuda
Adrian Smuda
RWRoman Wituła
Roman Wituła
Undoubtedly, one of the most powerful applications that allow symbolic computations is Wolfram Mathematica. However, it turns out that sometimes Mathematica does not give the desired result despite its continuous improvement. Moreover, these gaps are not filled by many authors of books and tutorials. For example, our attempts to obtain a compact symbolic description of the roots of polynomials or coefficients of a polynomial with known roots using Mathematica have often failed and they still fail. Years of our work with theory, computations, and different kinds of applications in the area of polynomials indicate that an application ‘offering’ the user alternative methods of solving a given problem would be extremely useful. Such an application would be valuable not only for people who look for solutions to very specific problems but also for people who need different descriptions of solutions to known problems than those given by classical methods. Therefore, we propose the development of an application that would be not only a program doing calculations but also containing an interactive database about polynomials. In this paper, we present examples of methods and information which could be included in the described project.

10 July 2018 in AIP Conference Proceedings
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EHEdyta Hetmaniok
Edyta Hetmaniok
Mariusz PleszczyńskiMariusz Pleszczyński
Mariusz Pleszczyński
MRMichał Różański
Michał Różański
RWRoman Wituła
Roman Wituła
The classic Gerschgorin Theorem constantly arouses a lot of exploratory emotions. For a change, in opposite to many researchers [1, 6], we decided to refer to the roots, that is to the Gerschgorin Theorem and the Brauer Theorem, in a linear-parametric way. The proposed approach, with the use of computational possibilities offered by computers, enables to select better the Gerschgorin circles (the Brauer-Cassini ovals, respectively) by isolating the eigenvalues, like it is described in Example 1 presented below. Such way of isolating the eigenvalues is numerically desirable and often found in the practical discussion, however it seems to be more geometrically ”Gerschgorian”, instead of analytically ”Gerschgorian”.