summaryrefslogtreecommitdiff
path: root/math/fudgit/pkg-descr
diff options
context:
space:
mode:
Diffstat (limited to 'math/fudgit/pkg-descr')
-rw-r--r--math/fudgit/pkg-descr48
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;