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MATFOR
Visual Signal
MATFOR
Visual Signal
 
About MATFOR
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MATFOR® is a set of libraries developed to enhance computation and visualization in different programming environments: C++, Fortran, Visual Basic and Visual C#. Especially designed for scientists and engineers, MATFOR adds to programs with dynamic visualization capabilities, shortens numerical codes and speeds up development process. By adding a few lines of MATFOR codes to your program, you can easily perform real-time animations, or even produce a movie presentation file as you execute your program.

MATFOR in Depth
New in MATFOR 4.1  
 
 
Concept
 
Libraries
 
 
 
Express vs Standard Function Compares  

 

 

New Graphic Library
1. Liner Graphs
Plot
Plot3
Tube
Ribbon
Bar
Barh
Bar3
Bar3h
2. Structure Grid
Mesh
Mesh
Surf
Surf
Contour
Contour3
Contour3
Solid Contour3
Solid Contour
Pcolor
Isosurface
Slices
3. Triangular Surface Graphs
Trimesh
Trisurf
Tricontour
4. Unstructure Grid
Tetsurf
Tetmesh
Tetcontour
TetIsoSurface
TetIsoSurface
TetSlice
5. Vector Field
Streamline
Quiver
Quiver3
6. Other Features
Basic Shapes
Molecules
Fast Molecule
Image
   
2D Cartographic Projection
3D Cartographic Projection
   
 
New Numerical Library
Based on Intel® MKL, the numerical library contains over 200 easy-to-use numerical functions subject to assist users with computational problem-solving.
Data Manipulation Functions
  mfSort, mfMin, mfMax, …
Elementary Math Functions
  mfSin, mfCos, mfASin, mfExp, mfAbs, …
Elementary Matrix-Manipulating Functions
  mfEye, mfDiag, mfRand, mfZeros, …
Matrix Analysis
  mfEig, mfInv, mfSvd, mfQz, mfLu, mfDet, mfNorm, …
File IO
  mfSave, mfSaveAscii, mfLoad, mfLoadAscii, …
Fast Fourier Transform
  mfFFT, mfFFT2, mfFFTShift
 
New Sparse Library

MATFOR® 4 is furnished with the pioneering support to Sparse Matrix. Its well-developed Sparse functions make data handling more efficient and much easier.
Fundamental Element Manipulation
  mfSpCreate, mfSpGetNNZ, mfSpToFull, mfSpy, …
mfArray Multiplication
  mfSpMul
Solution to Linear System
  mfSpLDiv
Minimum, Maximum and Eigen-Values Computation
  mfSpEigs
 
Example codes for Sparse Matrix:
 
 
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