NAME tasksim - histogram and random numbers for the task library SYNOPSIS #include <task.h> struct histogram { // exported data members int l, r; // Left and right boundaries of the histogram int binsize; // Size of each bin int nbin; // Number of bins int* h; // Pointer to storage long sum; // Sum of all entries long sqsum; // Sum of squares of all entries // exported constructor histogram(int bins=16, int left=0, int right=16); // exported functions void add(int val); void print(); }; class randint { public: // exported constructor randint(long seed=0); // exported functions int draw(); float fdraw(); double ddraw(); void seed(long); }; class urand: public randint { public: // exported data members int low, high; // exported constructor urand(int lo, int hi); // exported function int draw(); }; class erand : public randint { public: // exported data members int mean; // exported constructor erand(int m); // exported function int draw(); }; DESCRIPTION The task library provides classes for gathering data and generating random numbers. These are particularly useful in simulations. Histograms histogram hist(bins, left, right); Constructs an empty histogram object hist. It contains bins number of bins, from hist.h[0] through hist.h[bins-1]. Arguments left and right, which are ints, are assigned to data members l and r, respec- tively, and are the left and right endpoints of the histogram. The default values are 16 bins covering the range 0 through 16. hist.add(val) Adds one to the bin corresponding to value val of the histogram, where val is an int. Updates data members sum and sqsum. If val is outside the range l to r, the range is automatically extended by successive doubling to include it. The number of bins remains the same, however, so each bin will be widened proportionally and the counts adjusted to reflect the extended range. hist.print() Prints on stdout (not cout) the count of entries in each non-zero bin of histogram hist. Random Numbers The task library provides three classes which generate pseudo-random numbers, with uniform or exponential distribu- tion. Each class object provides an independent series of pseudo-random values. Class randint provides uniformly-distributed random numbers in the range 0 through INT_MAX. randint ri(s); Creates a randint object ri. The long argument is optional, and sets the starting seed of the generator for this object. int i = ri.draw(); Returns the next uniformly-distributed pseudo-random value in the sequence as an int in the closed interval [0 .. INT_MAX]. float f = ri.fdraw(); Returns the next uniformly-distributed pseudo-random value in the sequence as a float in the half-open interval [0.0 .. 1.0). double d = ri.ddraw(); Returns the next uniformly-distributed pseudo-random value in the sequence as a double in the half-open interval [0.0 .. 1.0). ri.seed(s) Re-initializes the generator using the supplied long value as the seed. Class urand is derived from randint, and provides uniformly-distributed random numbers in a specified range. urand ur(lo, hi); Creates a urand object ur. The long arguments represent the low and high values of the range. int i = ur.draw(); Returns the next uniformly-distributed pseudo-random value in the sequence as an int in the closed interval [lo .. hi]. Class erand is derived from randint, and provides exponentially-distributed random numbers about a specified mean. erand er(m); Creates an erand object er. The int argument is the mean of the distribution. int i = er.draw(); Returns the next exponentially-distributed pseudo- random value in the sequence as an int about the mean. This function uses the log function from the C math library, so programs must be linked using -lm. DIAGNOSTICS See task(3C++). SEE ALSO TASK.INTRO(3C++), interrupt(3C++), queue(3C++), task(3C++) or Chapter 2, "The Coroutine Library," in the C++ Library Reference
Закладки на сайте Проследить за страницей |
Created 1996-2024 by Maxim Chirkov Добавить, Поддержать, Вебмастеру |