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  2. Multivariate kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_kernel...

    We employ the Matlab routine for 2-dimensional data. The routine is an automatic bandwidth selection method specifically designed for a second order Gaussian kernel. [14] The figure shows the joint density estimate that results from using the automatically selected bandwidth. Matlab script for the example

  3. Euler Mathematical Toolbox - Wikipedia

    en.wikipedia.org/wiki/Euler_Mathematical_Toolbox

    It contains a matrix language, a graphical notebook style interface, and a plot window. Euler is designed for higher level math such as calculus, optimization, and statistics. The software can handle real, complex and interval numbers, vectors and matrices, it can produce 2D/3D plots, and uses Maxima for symbolic operations.

  4. ILNumerics - Wikipedia

    en.wikipedia.org/wiki/ILNumerics

    ILNumerics implements base functionality frequently needed for application development in technical areas: N-dimensional arrays, complex numbers, linear algebra, FFT and plotting controls (2D and 3D). The array classes are fully compatible with the array features of Matlab and numpy, including internal storage order, subarray creation ...

  5. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    In KNIME, 1D and 2D Kernel Density distributions can be generated and plotted using nodes from the Vernalis community contribution, e.g. 1D Kernel Density Plot, among others. The underlying implementation is written in Java. In MATLAB, kernel density estimation is implemented through the ksdensity function (Statistics

  6. Marching squares - Wikipedia

    en.wikipedia.org/wiki/Marching_squares

    In computer graphics, marching squares is an algorithm that generates contours for a two-dimensional scalar field (rectangular array of individual numerical values). A similar method can be used to contour 2D triangle meshes. The contours can be of two kinds: Isolines – lines following a single data level, or isovalue.

  7. Two-dimensional correlation analysis - Wikipedia

    en.wikipedia.org/wiki/Two-dimensional...

    Two dimensional correlation analysis allows one to determine at which positions in such a measured signal there is a systematic change in a peak, either continuous rising or drop in intensity. 2D correlation analysis results in two complementary signals, which referred to as the 2D synchronous and 2D asynchronous spectrum.

  8. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    Programmable, direct support of 2D+3D plotting. Interfaces to many other software packages. Interfacing to external modules written in C, Java, Python or other languages. Language syntax similar to MATLAB. Used for numerical computing in engineering and physics. Smath Studio: SMath LLC (Andrey Ivashov) 2006 1.0.8348 11 September 2022: Free

  9. Ikeda map - Wikipedia

    en.wikipedia.org/wiki/Ikeda_map

    A 2D real example of the above form is: ... The Octave/MATLAB code to generate these plots is given below: ... np.array trajectory of an associated starting-point n: ...