多項式曲線擬合 任意介數(shù) Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by something like this.
CPolyFit<double> PolyFitObj
double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A)
where X and Y are vectors of doubles which must have the same size and
A is a vector of doubles which must be the same size as the number of
coefficients required.
returns: The correlation coefficient or -1 on failure.
produces: A vector (A) which holds the coefficients.
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
// Hint: These classes are intended to be used as base classes. Do not
// simply add your code to these files - instead create a new class
// derived from one of CSizingControlBarXX classes and put there what
// you need. See CMyBar classes in the demo projects for examples.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
This string-include defines all string functions as inline functions. Use gcc. It also assumes ds=es=data space, this should be normal. Most of the string-functions are rather heavily hand-optimized,
see especially strtok,strstr,str[c]spn. They should work, but are not
very easy to understand. Everything is done entirely within the register
set, making the functions fast and clean.
