Treatment of exponential phenomena in biophysics

Summary Convolutional integrals of exponential functions are used in fitting experimental data. The mathematical model is developed for physical and biomedical measurements, where the instrumental resolution and/or the natural dispersion of the phenomena must be taken into account.

Gespeichert in:

Autor*in:	Lipnik, P. [verfasserIn]

Format:	Artikel
Sprache:	Englisch

Erschienen:	1974

Schlagwörter:	Experimental Data Mathematical Model Exponential Function Environmental Physic Natural Dispersion

Anmerkung:	© Springer-Verlag 1974

Übergeordnetes Werk:	Enthalten in: Radiation and environmental biophysics - Springer-Verlag, 1974, 11(1974), 2 vom: Juni, Seite 145-156
Übergeordnetes Werk:	volume:11 ; year:1974 ; number:2 ; month:06 ; pages:145-156

Links:	Volltext

DOI / URN:	10.1007/BF01559765

Katalog-ID:	OLC2075403643

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title_sort	treatment of exponential phenomena in biophysics
title_auth	Treatment of exponential phenomena in biophysics
abstract	Summary Convolutional integrals of exponential functions are used in fitting experimental data. The mathematical model is developed for physical and biomedical measurements, where the instrumental resolution and/or the natural dispersion of the phenomena must be taken into account. © Springer-Verlag 1974
abstractGer	Summary Convolutional integrals of exponential functions are used in fitting experimental data. The mathematical model is developed for physical and biomedical measurements, where the instrumental resolution and/or the natural dispersion of the phenomena must be taken into account. © Springer-Verlag 1974
abstract_unstemmed	Summary Convolutional integrals of exponential functions are used in fitting experimental data. The mathematical model is developed for physical and biomedical measurements, where the instrumental resolution and/or the natural dispersion of the phenomena must be taken into account. © Springer-Verlag 1974
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title_short	Treatment of exponential phenomena in biophysics
url	https://doi.org/10.1007/BF01559765
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doi_str	10.1007/BF01559765
up_date	2024-07-04T01:14:46.603Z
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