Tekijä: Christian Pötzsche (ed.); Clemens Heuberger (ed.); Barbara Kaltenbacher (ed.); Franz Rendl (ed.) Kustantaja: Springer (2014) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Christian Pötzsche (ed.); Clemens Heuberger (ed.); Barbara Kaltenbacher (ed.); Franz Rendl (ed.) Kustantaja: Springer (2016) Saatavuus: Noin 17-20 arkipäivää
EUR 49,60
Time-dependent Problems in Imaging and Parameter Identification
Springer Sivumäärä: 456 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2021, 24.02.2021 (lisätietoa) Kieli: Englanti
Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context.
While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.
