Difference between revisions of "cpp/numeric/random/piecewise linear distribution"
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{{cpp/title|piecewise_linear_distribution}} | {{cpp/title|piecewise_linear_distribution}} | ||
{{cpp/numeric/random/piecewise_linear_distribution/navbar}} | {{cpp/numeric/random/piecewise_linear_distribution/navbar}} | ||
− | {{ddcl | header=random | since=c++11 | 1= | + | {{ddcl|header=random|since=c++11|1= |
template< class RealType = double > | template< class RealType = double > | ||
class piecewise_linear_distribution; | class piecewise_linear_distribution; | ||
}} | }} | ||
− | {{tt|std::piecewise_linear_distribution}} produces random floating-point numbers, which are distributed according to a linear probability density function within each of the several subintervals {{mathjax-or|\(\small{[b_i, b_{i+1})}\)|[b{{su|b=i}}, b{{su|b=i+1}})}}. The distribution is such that the probability density at each interval boundary is exactly the predefined value {{mathjax-or|\(\small{p_i}\)|p{{su|b=i}}}}. | + | {{tt|std::piecewise_linear_distribution}} produces random floating-point numbers, which are distributed according to a linear probability density function within each of the several subintervals {{mathjax-or|\(\small{[b_i, b_{i+1})}\)|[b{{su|b=i}}, b{{su|b=i+1}})}}. The distribution is such that the probability density at each interval boundary is exactly the predefined value {{mathjax-or|\(\small{p_i}\)|p{{su|b=i}}}}. |
− | The probability density for any {{mathjax-or|\(\small{ b_i \le x < b_{i+1} }\)|b{{su|b=i}}≤x<b{{su|b=i+1}}}} is {{mathjax-or|\(\small{p_i\frac{b_{i+1}-x}{b_{i+1}-b_i} + p_{i+1}\frac{x-b_i}{b_{i+1}-b_i} }\)|{{mfrac|p{{su|b=i}}|b{{su|b=i+1}}-x|b{{su|b=i+1}}-b{{su|b=i}} }} + {{mfrac|p{{su|b=i+1}}|x-b{{su|b=i}}|b{{su|b=i+1}}-b{{su|b=i}} }} }}, where probability densities at interval boundaries {{mathjax-or|\(\small{p_k}\)|p{{su|b=k}}}} are calculated as {{mathjax-or|\(\small{w_k/S}\)|w{{su|b=k}}/S}} where {{mathjax-or|\(\small{S}\)|S}} is the sum of all {{mathjax-or|\(\small{\frac{1}{2}(w_k + w_{k+1})(b_{k+1} - b_k)}\)|{{mfrac||1|2}}(w{{su|b=k}}+w{{su|b=k+1}})(b{{su|b=k+1}}−b{{su|b=k}})}}. | + | The probability density for any {{mathjax-or|\(\small{ b_i \le x < b_{i+1} }\)|b{{su|b=i}}≤x<b{{su|b=i+1}}}} is {{mathjax-or|\(\small{p_i\frac{b_{i+1}-x}{b_{i+1}-b_i} + p_{i+1}\frac{x-b_i}{b_{i+1}-b_i} }\)|{{mfrac|p{{su|b=i}}|b{{su|b=i+1}}-x|b{{su|b=i+1}}-b{{su|b=i}}}} + {{mfrac|p{{su|b=i+1}}|x-b{{su|b=i}}|b{{su|b=i+1}}-b{{su|b=i}}}}}}, where probability densities at interval boundaries {{mathjax-or|\(\small{p_k}\)|p{{su|b=k}}}} are calculated as {{mathjax-or|\(\small{w_k/S}\)|w{{su|b=k}}/S}} where {{mathjax-or|\(\small{S}\)|S}} is the sum of all {{mathjax-or|\(\small{\frac{1}{2}(w_k + w_{k+1})(b_{k+1} - b_k)}\)|{{mfrac||1|2}}(w{{su|b=k}}+w{{su|b=k+1}})(b{{su|b=k+1}}−b{{su|b=k}})}}. |
The set of interval boundaries {{mathjax-or|\(\small{b_i}\)|b{{su|b=i}}}} and the set of weights at boundaries {{mathjax-or|\(\small{w_i}\)|w{{su|b=i}}}} are the parameters of this distribution. | The set of interval boundaries {{mathjax-or|\(\small{b_i}\)|b{{su|b=i}}}} and the set of weights at boundaries {{mathjax-or|\(\small{w_i}\)|w{{su|b=i}}}} are the parameters of this distribution. | ||
− | {{ | + | {{ttt|std::piecewise_linear_distribution}} satisfies all requirements of {{named req|RandomNumberDistribution}}. |
===Template parameters=== | ===Template parameters=== | ||
Line 21: | Line 21: | ||
===Member types=== | ===Member types=== | ||
{{dsc begin}} | {{dsc begin}} | ||
− | {{dsc hitem | Member type | Definition}} | + | {{dsc hitem|Member type|Definition}} |
− | {{dsc | {{tt|result_type}}{{mark c++11}} | {{ | + | {{dsc|{{tt|result_type}} {{mark c++11}}|{{co|RealType}}}} |
{{cpp/numeric/random/param_type}} | {{cpp/numeric/random/param_type}} | ||
{{dsc end}} | {{dsc end}} | ||
Line 28: | Line 28: | ||
===Member functions=== | ===Member functions=== | ||
{{dsc begin}} | {{dsc begin}} | ||
− | {{dsc inc | cpp/numeric/random/distribution/dsc constructor | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc constructor|piecewise_linear_distribution}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc reset | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc reset|piecewise_linear_distribution}} |
− | {{dsc h2 | Generation}} | + | {{dsc h2|Generation}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc operator() | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc operator()|piecewise_linear_distribution}} |
− | {{dsc h2 | Characteristics}} | + | {{dsc h2|Characteristics}} |
− | {{dsc inc | cpp/numeric/random/piecewise_linear_distribution/dsc params}} | + | {{dsc inc|cpp/numeric/random/piecewise_linear_distribution/dsc params}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc param | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc param|piecewise_linear_distribution}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc min | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc min|piecewise_linear_distribution}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc max | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc max|piecewise_linear_distribution}} |
{{dsc end}} | {{dsc end}} | ||
===Non-member functions=== | ===Non-member functions=== | ||
{{dsc begin}} | {{dsc begin}} | ||
− | {{dsc inc | cpp/numeric/random/distribution/dsc operator_cmp | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc operator_cmp|piecewise_linear_distribution}} |
− | {{dsc inc | cpp/numeric/random/distribution/dsc operator_ltltgtgt | piecewise_linear_distribution}} | + | {{dsc inc|cpp/numeric/random/distribution/dsc operator_ltltgtgt|piecewise_linear_distribution}} |
{{dsc end}} | {{dsc end}} | ||
===Example=== | ===Example=== | ||
{{example | {{example | ||
− | + | |code= | |
− | + | ||
#include <iomanip> | #include <iomanip> | ||
− | #include < | + | #include <iostream> |
#include <map> | #include <map> | ||
#include <random> | #include <random> | ||
+ | #include <string> | ||
int main() | int main() | ||
{ | { | ||
std::random_device rd; | std::random_device rd; | ||
− | std::mt19937 gen | + | std::mt19937 gen{rd()}; |
// increase the probability from 0 to 5 | // increase the probability from 0 to 5 | ||
// remain flat from 5 to 10 | // remain flat from 5 to 10 | ||
// decrease from 10 to 15 at the same rate | // decrease from 10 to 15 at the same rate | ||
std::vector<double> i{0, 5, 10, 15}; | std::vector<double> i{0, 5, 10, 15}; | ||
− | std::vector<double> w{0, 1, | + | std::vector<double> w{0, 1, 1, 0}; |
− | std::piecewise_linear_distribution<> d | + | std::piecewise_linear_distribution<> d{i.begin(), i.end(), w.begin()}; |
− | + | ||
std::map<int, int> hist; | std::map<int, int> hist; | ||
− | for(int n | + | for (int n{}; n < 1e4; ++n) |
++hist[d(gen)]; | ++hist[d(gen)]; | ||
− | + | ||
− | for(auto | + | for (auto [x, y] : hist) |
− | std::cout << std::setw(2) << std::setfill('0') << | + | std::cout << std::setw(2) << std::setfill('0') << x |
− | + | << ' ' << std::string(y / 100, '*') << '\n'; | |
− | + | ||
} | } | ||
− | + | |p=true | |
− | + | |output= | |
00 * | 00 * | ||
01 *** | 01 *** |
Latest revision as of 01:17, 23 December 2023
Defined in header <random>
|
||
template< class RealType = double > class piecewise_linear_distribution; |
(since C++11) | |
std::piecewise_linear_distribution
produces random floating-point numbers, which are distributed according to a linear probability density function within each of the several subintervals [bi, bi+1). The distribution is such that the probability density at each interval boundary is exactly the predefined value pi.
bi+1-x |
bi+1-bi |
x-bi |
bi+1-bi |
1 |
2 |
The set of interval boundaries bi and the set of weights at boundaries wi are the parameters of this distribution.
std::piecewise_linear_distribution
satisfies all requirements of RandomNumberDistribution.
Contents |
[edit] Template parameters
RealType | - | The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double. |
[edit] Member types
Member type | Definition |
result_type (C++11)
|
RealType |
param_type (C++11)
|
the type of the parameter set, see RandomNumberDistribution. |
[edit] Member functions
(C++11) |
constructs new distribution (public member function) |
(C++11) |
resets the internal state of the distribution (public member function) |
Generation | |
(C++11) |
generates the next random number in the distribution (public member function) |
Characteristics | |
(C++11) |
returns the distribution parameters (public member function) |
(C++11) |
gets or sets the distribution parameter object (public member function) |
(C++11) |
returns the minimum potentially generated value (public member function) |
(C++11) |
returns the maximum potentially generated value (public member function) |
[edit] Non-member functions
(C++11)(C++11)(removed in C++20) |
compares two distribution objects (function) |
(C++11) |
performs stream input and output on pseudo-random number distribution (function template) |
[edit] Example
Run this code
#include <iomanip> #include <iostream> #include <map> #include <random> #include <string> int main() { std::random_device rd; std::mt19937 gen{rd()}; // increase the probability from 0 to 5 // remain flat from 5 to 10 // decrease from 10 to 15 at the same rate std::vector<double> i{0, 5, 10, 15}; std::vector<double> w{0, 1, 1, 0}; std::piecewise_linear_distribution<> d{i.begin(), i.end(), w.begin()}; std::map<int, int> hist; for (int n{}; n < 1e4; ++n) ++hist[d(gen)]; for (auto [x, y] : hist) std::cout << std::setw(2) << std::setfill('0') << x << ' ' << std::string(y / 100, '*') << '\n'; }
Possible output:
00 * 01 *** 02 **** 03 ****** 04 ********* 05 ********* 06 ********* 07 ********** 08 ********* 09 ********** 10 ********* 11 ******* 12 **** 13 *** 14 *