Performing random numbers generator from a generic discrete distribution
This function extracts random numbers distributed over a discrete set; the PDF is user-defined
This function extracts a scalar/vector/matrix of random numbers with discrete Probability Distribution Function.
The PDF is specified by the user as a input vector.
This function is designed to be fast, and it is implemented within a .mex file
Following Olivier B. comments (that I acknowledge for his comments), I performed cross-comparisons with randp. gDiscrPdfRnd is faster with a ratio that increases with the number of number, i.e. for about 3 times faster for 10^6 numbers to over 40 times faster for 10^7 numbers.
Moreover, for large random arrays, randp seriously surcharges the RAM memory, whereas gDiscrPdfRnd limits thememory use to what is essential (tanksto the coding). In what follows the details of thecomparison are given.
>> tic;R = randp([1 3 2],1000000,1);toc
elapsed_time =
0.4840
>> tic;R = gDiscrPdfRnd([1 3 2],1000000,1);toc
elapsed_time =
0.1570
>> tic;R = randp([1 3 2],10000000,1);toc
elapsed_time =
68.5780
>> tic;R = gDiscrPdfRnd([1 3 2],10000000,1);toc
elapsed_time =
1.6410
>> 68.5780/1.6410
ans =
41.7904
引用格式
Gianluca Dorini (2026). Performing random numbers generator from a generic discrete distribution (https://ww2.mathworks.cn/matlabcentral/fileexchange/14469-performing-random-numbers-generator-from-a-generic-discrete-distribution), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0.0 | 1) the attached file was uncorrect. 2) performed comparisons with randp, as suggested by Olivier B., that I thanks for his review |
