19 research outputs found
Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ° Π²Π°ΡΡΠ³Π°Π½ΡΠΊΠΎΠΉ ΡΠ²ΠΈΡΡ ΠΈ Π±Π°ΡΠ°Π±ΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠ°ΡΠΊΠΈ ΠΏΠΎ ΠΎΠ±ΡΠ°Π·ΡΡ ΠΊΠ΅ΡΠ½Π° (Π‘Π΅Π²Π΅ΡΠΎ-ΠΠΎΠΊΠ°ΡΠ΅Π²ΡΠΊΠΎΠ΅ ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅, ΠΠ°ΠΏΠ°Π΄Π½Π°Ρ Π‘ΠΈΠ±ΠΈΡΡ)
ΠΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π·Π°ΡΠΈΡΡ : ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΊΠ°Π·Π°Π½ΠΈΡ ΠΊ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΠ°Π±ΠΎΡΠ°ΠΌ
Π ΠΏΠΎΡΠΎΠ±ΠΈΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π·Π°Π΄Π°Π½ΠΈΡ ΠΏΠΎ Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π΅ Β«ΠΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈ Π·Π°ΡΠΈΡΡΒ» ΠΠ°ΠΆΠ΄Π°Ρ ΡΠ°Π±ΠΎΡΠ° ΡΠΎΠ΄Π΅ΡΠΆΠΈΡ ΠΊΡΠ°ΡΠΊΠΎΠ΅ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ, ΡΠ°Π·ΠΎΠ±ΡΠ°Π½Π½ΡΠ΅ ΠΏΡΠΈΠΌΠ΅ΡΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ Π·Π°Π΄Π°Π½ΠΈΠΉ ΠΈ Π²Π°ΡΠΈΠ°Π½ΡΡ Π΄Π»Ρ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ·ΡΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°. Π ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°Π±ΠΎΡΠ°Ρ
Π·Π°ΡΡΠ°Π³ΠΈΠ²Π°ΡΡΡΡ Π·Π°ΠΊΠΎΠ½Ρ Π°Π»Π³Π΅Π±ΡΡ Π»ΠΎΠ³ΠΈΠΊΠΈ ΠΡΠ»Ρ, ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ»Π΅ΠΌΠ΅Π½ΡΡ, ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡ
Π΅ΠΌ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΠΎΠΏΡΠΎΡΡ ΡΠΈΠ½ΡΠ΅Π·Π° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΠΎΠ½Π΅ΡΠ½ΡΡ
Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π²ΡΠΎΠΌΠ°ΡΠΎΠ². ΠΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΎ Π΄Π»Ρ ΠΌΠ°Π³ΠΈΡΡΡΠΎΠ², ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ ΠΏΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ 13.04.01 Β«Π’Π΅ΠΏΠ»ΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΠΊΠ° ΠΈ ΡΠ΅ΠΏΠ»ΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠ°Β»
Adaptive Multiskalenverfahren fΓΌr elliptische partielle Differentialgleichungen : Realisierung, Umsetzung und numerische Ergebnisse
Adaptive Multiskalenverfahren fΓΌr elliptische partielle Differentialgleichungen : Realisierung, Umsetzung und numerische Ergebnisse
Software Tools for Using Wavelets on the Interval for the Numerical Solution Operator Equations
Software Tools for Using Wavelets on the Interval for the Numerical Solution Operator Equations
Software Tools For Using Wavelets On The Interval For The Numerical Solution Of Operator Equations
this paper, we review the basic construction principles of wavelets on the interval which are used in a tensorproduct basis for the cube. We describe software tools developed to that purpose and show the application to the solution of a Helmholtz problem. KEY WORDS: Multiscale methods, wavelets, software, C++. AMS SUBJECT CLASSIFICATION: 68N99, 65F99, 65M55. INTRODUCTION Wavelets have successfully been used in image and signal processing during the past years. A whole variety of software (both public domain and commercial) show their applicability in this area of research. Multiscale methods using wavelets offer promising features also for the numerical treatment of certain elliptic operator equations. Significant progress has recently been made in developing the theory of these methods (for a survey, we refer to [12]). However, there is a certain lack in the corresponding software, which makes it hard to estimate the full potential of multiscale methods. In this paper, we describe some C++ tools to this purpose. These tools are available from the authors within the Gnu--license. This paper is organised as follows: we start by giving some background information and motivation for considering wavelets on the interval. In the following section, we recall the basic facts on wavelet systems on the interval. The requirements on these kind of software tools will then be collected. Afterwards, the software is described and we end by showing one particular example of its use