diff options
Diffstat (limited to 'Master/texmf/asymptote/lmfit.asy')
| -rw-r--r-- | Master/texmf/asymptote/lmfit.asy | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/Master/texmf/asymptote/lmfit.asy b/Master/texmf/asymptote/lmfit.asy index 72745625824..e70421074e5 100644 --- a/Master/texmf/asymptote/lmfit.asy +++ b/Master/texmf/asymptote/lmfit.asy @@ -28,7 +28,7 @@ the least-squares sum % \begin{equation*} - \sum_{i = 1}^n \left( \frac{y_i - f(a_1, \dots, a_m; x_i)}{\Delta y_i} \right)^2 + \sum_{i = 1}^n \left( \frac{y_i - f(a_1, \dots, a_m; x_i)}{\Delta y_i} \right)^2 \end{equation*} % with respect to the parameters $a_1, \dots, a_m$. @@ -822,13 +822,13 @@ struct FitResult { Fits data points to a function that depends on some parameters. Parameters: - - xdata: Array of x values. - - ydata: Array of y values. - - errors: Array of experimental errors; each element must be strictly positive - - function: Fit function. - - parameters: Parameter array. Before calling fit(), this must contain the initial guesses for the parameters. - Upon return, it will contain the solution parameters. - - control: object of type FitControl that controls various aspects of the fitting procedure. + - xdata: Array of x values. + - ydata: Array of y values. + - errors: Array of experimental errors; each element must be strictly positive + - function: Fit function. + - parameters: Parameter array. Before calling fit(), this must contain the initial guesses for the parameters. + Upon return, it will contain the solution parameters. + - control: object of type FitControl that controls various aspects of the fitting procedure. Returns: An object of type FitResult that conveys information about the fitting process. @@ -865,12 +865,12 @@ FitResult fit(real[] xdata, real[] ydata, real[] errors, real function(real[], r Fits data points to a function that depends on some parameters. Parameters: - - xdata: Array of x values. - - ydata: Array of y values. - - function: Fit function. - - parameters: Parameter array. Before calling fit(), this must contain the initial guesses for the parameters. - Upon return, it will contain the solution parameters. - - control: object of type FitControl that controls various aspects of the fitting procedure. + - xdata: Array of x values. + - ydata: Array of y values. + - function: Fit function. + - parameters: Parameter array. Before calling fit(), this must contain the initial guesses for the parameters. + Upon return, it will contain the solution parameters. + - control: object of type FitControl that controls various aspects of the fitting procedure. Returns: An object of type FitResult that conveys information about the fitting process. |