Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Piotr Puchała is active.

Publication


Featured researches published by Piotr Puchała.


Optimization | 2014

An elementary method of calculating an explicit form of Young measures in some special cases

Piotr Puchała

We present an elementary method of explicit calculation of Young measures for a certain class of functions. This class contains, in particular, functions of a highly oscillatory nature which appear in optimization problems and homogenization theory. In engineering such situation occurs, for instance, in nonlinear elasticity (solid–solid phase transition in certain elastic crystals). Young measures associated with oscillating minimizing sequences gather information about their oscillatory nature and therefore about underlying microstructure. The method presented in this article makes no use of functional analytic tools. There is no need to use a generalized version of the Riemann–Lebesgue lemma and to calculate weak* limits of functions. The main tool is the change of variable theorem. The method applies both to sequences of periodic and nonperiodic functions.


Optimization | 2017

A simple characterization of homogeneous Young measures and weak convergence of their densities

Piotr Puchała

We formulate a simple characterization of homogeneous Young measures associated with measurable functions. It is based on the notion of the quasi-Young measure introduced in the previous article published in this Journal. First, homogeneous Young measures associated with the measurable functions are recognized as the constant mappings defined on the domain of the underlying function with values in the space of probability measures on the range of these functions. Then the characterization of homogeneous Young measures via image measures is formulated. Finally, we investigate the connections between weak convergence of the homogeneous Young measures understood as elements of the Banach space of scalar valued measures and the weak sequential convergence of their densities. A scalar case of the smooth functions and their Young measures being Lebesgue-Stieltjes measures is also analysed.


Archive | 2019

Classical Young Measures Generated by Oscillating Sequences with Uniform Representation

Andrzej Z. Grzybowski; Piotr Puchała

The paper is devoted to the theory of classical Young measures. It focuses on the situation where a sequence of rapidly oscillating functions has uniform representation in a sense that is defined in this article. There is stated a proposision characterizing the Young measures generated by such a class of sequences. This characterization enables one to find an explicit formulae for the density functions of these generated measures as well as the computations of the values of the related Young functionals. Examples of possible applications of the new results are presented as well.


Journal of Applied Mathematics and Computational Mechanics | 2015

Remarks about discrete Young measures and their Monte Carlo simulation

Andrzej Z. Grzybowski; Piotr Puchała


2017 IEEE 14th International Scientific Conference on Informatics | 2017

Monte Carlo simulation in the evaluation of the young functional values

Andrzej Z. Grzybowski; Piotr Puchała


Journal of Applied Mathematics and Computational Mechanics | 2014

Weak convergence in L 1 of the sequences of monotonic functions

Piotr Puchała


Banach Center Publications | 2014

Minimization of Functional with Integrand Expressed as Minimum of Quasiconvex Functions - General and Special Cases

Piotr Puchała


arXiv: Functional Analysis | 2009

Nonconvex minimization related to quadratic double-well energy - approximation by convex problems

Zdzisław Naniewicz; Piotr Puchała


arXiv: Functional Analysis | 2018

Weak convergence of the sequences of homogeneous Young measures associated with a class of oscillating functions

Piotr Puchała


Journal of information and organizational sciences | 2018

On Simulation of the Young Measures – Comparison of Random-Number Generators

Andrzej Z. Grzybowski; Piotr Puchała

Collaboration


Dive into the Piotr Puchała's collaboration.

Top Co-Authors

Avatar

Andrzej Z. Grzybowski

Częstochowa University of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge