For the given data $(p_i,t_i,f_i),$ $i=1,ldots,m$, we consider the existence problem of the best parameter approximation of the exponential model function in the sense of ordinary least squares and total least squares. Results related to that problem which have been obtained and published by the authors so far are given in the paper, as well as some new results on nonuniqueness of the best parameter approximation
Signal waveforms are very fast dampening oscillatory time series composed of exponential functions. ...
AbstractIn a total least squares (TLS) problem, we estimate an optimal set of model parameters X, so...
Motivated by the numerical treatment of parametric and stochastic PDEs, we analyze the least-squares...
AbstractIn this paper we prove the existence theorem for the best least squares approximation of the...
In [6] the existence theorem for the best least squares approximation of parameters for the exponent...
Two-parameter growth models of exponential type f (t;a,b) = g(t)exp(a+bh(t)), where a and b are unkn...
AbstractIn this paper we prove an existence theorem for a special nonlinear total least squares prob...
AbstractGiven the data (pi,ti,fi), i=1,…,m, m>3, we consider the best least-squares approximation of...
AbstractIn this paper we consider the existence of the solution of a special nonlinear least-squares...
summary:One has to find a real function $y(x_1,x_2,\dots ,x_n)$ of variables $x_i$, $i=1,2,\dots,x_n...
AbstractWe investigate the total least square problem (TLS) with Chebyshev norm instead of the tradi...
AbstractThe Michaelis–Menten enzyme kinetic model f(x;a,b)=ax/(b+x), a,b>0, is widely used in bioche...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
AbstractIn this paper we consider the least-squares (LS) fitting of the Gompertz curve to the given ...
Real and complex exponential data fitting is an important activity in many different areas of scienc...
Signal waveforms are very fast dampening oscillatory time series composed of exponential functions. ...
AbstractIn a total least squares (TLS) problem, we estimate an optimal set of model parameters X, so...
Motivated by the numerical treatment of parametric and stochastic PDEs, we analyze the least-squares...
AbstractIn this paper we prove the existence theorem for the best least squares approximation of the...
In [6] the existence theorem for the best least squares approximation of parameters for the exponent...
Two-parameter growth models of exponential type f (t;a,b) = g(t)exp(a+bh(t)), where a and b are unkn...
AbstractIn this paper we prove an existence theorem for a special nonlinear total least squares prob...
AbstractGiven the data (pi,ti,fi), i=1,…,m, m>3, we consider the best least-squares approximation of...
AbstractIn this paper we consider the existence of the solution of a special nonlinear least-squares...
summary:One has to find a real function $y(x_1,x_2,\dots ,x_n)$ of variables $x_i$, $i=1,2,\dots,x_n...
AbstractWe investigate the total least square problem (TLS) with Chebyshev norm instead of the tradi...
AbstractThe Michaelis–Menten enzyme kinetic model f(x;a,b)=ax/(b+x), a,b>0, is widely used in bioche...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
AbstractIn this paper we consider the least-squares (LS) fitting of the Gompertz curve to the given ...
Real and complex exponential data fitting is an important activity in many different areas of scienc...
Signal waveforms are very fast dampening oscillatory time series composed of exponential functions. ...
AbstractIn a total least squares (TLS) problem, we estimate an optimal set of model parameters X, so...
Motivated by the numerical treatment of parametric and stochastic PDEs, we analyze the least-squares...