time-to-botec

Benchmark sampling in different programming languages
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repl.txt (1382B)

      1 
      2 {{alias}}( x, μ, c )
      3     Evaluates the probability density function (PDF) for a Lévy distribution
      4     with location parameter `μ` and scale parameter `c` at a value `x`.
      5 
      6     If provided `NaN` as any argument, the function returns `NaN`.
      7 
      8     If provided `c <= 0`, the function returns `NaN`.
      9 
     10     Parameters
     11     ----------
     12     x: number
     13         Input value.
     14 
     15     μ: number
     16         Location parameter.
     17 
     18     c: number
     19         Scale parameter.
     20 
     21     Returns
     22     -------
     23     out: number
     24         Evaluated PDF.
     25 
     26     Examples
     27     --------
     28     > var y = {{alias}}( 2.0, 0.0, 1.0 )
     29     ~0.11
     30     > y = {{alias}}( -1.0, 4.0, 2.0 )
     31     0.0
     32     > y = {{alias}}( NaN, 0.0, 1.0 )
     33     NaN
     34     > y = {{alias}}( 0.0, NaN, 1.0 )
     35     NaN
     36     > y = {{alias}}( 0.0, 0.0, NaN )
     37     NaN
     38     // Negative scale parameter:
     39     > y = {{alias}}( 2.0, 0.0, -1.0 )
     40     NaN
     41 
     42 
     43 {{alias}}.factory( μ, c )
     44     Returns a function for evaluating the probability density function (PDF) of
     45     a Lévy distribution with location parameter `μ` and scale parameter `c`.
     46 
     47     Parameters
     48     ----------
     49     μ: number
     50         Location parameter.
     51 
     52     c: number
     53         Scale parameter.
     54 
     55     Returns
     56     -------
     57     pdf: Function
     58         Probability density function (PDF).
     59 
     60     Examples
     61     --------
     62     > var myPDF = {{alias}}.factory( 10.0, 2.0 );
     63     > var y = myPDF( 11.0 )
     64     ~0.208
     65 
     66     See Also
     67     --------
     68