Title of article :
Total least squares fitting Michaelis–Menten enzyme kinetic model function
Author/Authors :
Juki?، نويسنده , , Dragan and Sabo، نويسنده , , Kristian and Scitovski، نويسنده , , Rudolf، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
The Michaelis–Menten enzyme kinetic model f ( x ; a , b ) = ax / ( b + x ) , a , b > 0 , is widely used in biochemistry, pharmacology, biology and medical research.
the data ( p i , x i , y i ) , i = 1 , … , m , m ⩾ 3 , we consider the total least squares (TLS) problem for the Michaelis–Menten model. We show that it is possible that the TLS estimate does not exist. As the main result, we show that the TLS estimate exists if the data satisfy some natural conditions. Some numerical examples are included.
Keywords :
Existence problem , Total least squares estimate , Total least squares , Michaelis–Menten model
Journal title :
Journal of Computational and Applied Mathematics
Journal title :
Journal of Computational and Applied Mathematics