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Maciej Paszyński

Researcher at AGH University of Science and Technology

Publications -  196
Citations -  2226

Maciej Paszyński is an academic researcher from AGH University of Science and Technology. The author has contributed to research in topics: Finite element method & Solver. The author has an hindex of 22, co-authored 176 publications receiving 2019 citations. Previous affiliations of Maciej Paszyński include University of the Sciences & Baker Hughes.

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Book

Computing with hp-ADAPTIVE FINITE ELEMENTS: Volume II Frontiers: Three Dimensional Elliptic and Maxwell Problems with Applications

TL;DR: The first volume of the Computing with hp-Adaptive Finite Elements (CFAE) project as discussed by the authors provides a comprehensive overview of the 3D hp algorithm and its application.
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The cost of continuity: A study of the performance of isogeometric finite elements using direct solvers

TL;DR: It is concluded that for a fixed number of unknowns and polynomial degree of approximation, a higher degree of continuity k drastically increases the CPU time and RAM needed to solve the problem when using a direct solver.
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A self-adaptive goal-oriented hp-finite element method with electromagnetic applications. Part II: Electrodynamics

TL;DR: In this article, a self-adaptive, goal-oriented, hp-Finite element (FE) method for EM problems is presented, which is an extension of a fully automatic, energy-norm based, hpadaptive algorithm.
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Two-dimensional high-accuracy simulation of resistivity logging-while-drilling (LWD) measurements using a self-adaptive goal-oriented hp finite element method

TL;DR: Goal‐oriented adaptivity becomes essential to simulating LWD instruments, since it reduces the computational cost by several orders of magnitude with respect to the global energy‐norm‐based $hp$‐adapti...
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Parallel, fully automatic hp -adaptive 3D finite element package

TL;DR: The paper presents a description of par3Dhp—a 3D, parallel, fully automatic hp-adaptive finite element code for elliptic and Maxwell problems, which constitutes an infrastructure for a class of parallel hp adaptive computations.