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Diffstat (limited to 'math/fudgit/pkg-descr')
-rw-r--r-- | math/fudgit/pkg-descr | 48 |
1 files changed, 0 insertions, 48 deletions
diff --git a/math/fudgit/pkg-descr b/math/fudgit/pkg-descr deleted file mode 100644 index 13e1067ecf84..000000000000 --- a/math/fudgit/pkg-descr +++ /dev/null @@ -1,48 +0,0 @@ -FUDGIT is a double-precision multi-purpose fitting program. -It can manipulate complete columns of numbers in the form -of vector arithmetic. FUDGIT is also an expression language -interpreter understanding most of C grammar except pointers. -Morever, FUDGIT is a front end for any plotting program supporting -commands from stdin. It is a nice mathematical complement to -GNUPLOT, for example. - -The main features of FUDGIT are: - - Command shell including history; - - Possible abbreviation of all the ``fitting mode'' commands; - - Possible plural when it makes sense too; - - Interactive shell supporting flow control (while, - if-else-endif, foreach); - - User definable macros; - - User definable aliases; - - On-line help; - - On-line loadable procedure- or function-objects; - - On-line selectable plotting program; - - Fourier transforms; - - Spline interpolation; - - Smoothing; - - Double-precision built-in calculator; - - Built-in interpreter supporting most of C language including - flow control (if, else, while, for, break, continue); - - User definable functions and procedures; - - Double-precision vector arithmetic; - - Access to the complete C math library; - - Access to any external C or FORTRAN routines/libraries - through dynamic loading; - - Built-in fitting series such as: - + power series (polynomial); - + sine series; - + cosine series; - + Legendre polynomials; - + series of Gaussians; - + series of exponentials; - + series of lorentzian; - - User definable fitting functions; - - Totally dynamical allocation of variables and parameters; - - Possible selection of fitting ranges; - -FUDGIT has a collection of fitting routines including: - - straight line (linear) least squares; - - straight line (linear) least absolute deviation; - - general linear least squares using QR decomposition; - - general linear least squares using singular value decomposition; - - nonlinear Marquardt-Levenberg method; |