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TMath.h File Reference
#include "TMathBase.h"
#include "TError.h"
#include <algorithm>
#include <limits>
#include <cmath>
#include <float.h>
Include dependency graph for TMath.h:

## Classes

struct  TMath::Limits< T >

namespace  TMath
TMath.

## Functions

double acos (double)

Double_t TMath::ACos (Double_t)

Double_t TMath::ACosH (Double_t)

Bool_t TMath::AreEqualAbs (Double_t af, Double_t bf, Double_t epsilon)

Bool_t TMath::AreEqualRel (Double_t af, Double_t bf, Double_t relPrec)

double asin (double)

Double_t TMath::ASin (Double_t)

Double_t TMath::ASinH (Double_t)

double atan (double)

Double_t TMath::ATan (Double_t)

double atan2 (double, double)

Double_t TMath::ATan2 (Double_t y, Double_t x)

Double_t TMath::ATanH (Double_t)

Double_t TMath::BesselI (Int_t n, Double_t x)
Compute the Integer Order Modified Bessel function I_n(x) for n=0,1,2,... and any real x.

Double_t TMath::BesselI0 (Double_t x)
integer order modified Bessel function K_n(x)

Double_t TMath::BesselI1 (Double_t x)
modified Bessel function K_0(x)

Double_t TMath::BesselJ0 (Double_t x)
modified Bessel function K_1(x)

Double_t TMath::BesselJ1 (Double_t x)
Bessel function J0(x) for any real x.

Double_t TMath::BesselK (Int_t n, Double_t x)
integer order modified Bessel function I_n(x)

Double_t TMath::BesselK0 (Double_t x)
modified Bessel function I_0(x)

Double_t TMath::BesselK1 (Double_t x)
modified Bessel function I_1(x)

Double_t TMath::BesselY0 (Double_t x)
Bessel function J1(x) for any real x.

Double_t TMath::BesselY1 (Double_t x)
Bessel function Y0(x) for positive x.

Double_t TMath::Beta (Double_t p, Double_t q)
Calculates Beta-function Gamma(p)*Gamma(q)/Gamma(p+q).

Double_t TMath::BetaCf (Double_t x, Double_t a, Double_t b)
Continued fraction evaluation by modified Lentz's method used in calculation of incomplete Beta function.

Double_t TMath::BetaDist (Double_t x, Double_t p, Double_t q)
Computes the probability density function of the Beta distribution (the distribution function is computed in BetaDistI).

Double_t TMath::BetaDistI (Double_t x, Double_t p, Double_t q)
Computes the distribution function of the Beta distribution.

Double_t TMath::BetaIncomplete (Double_t x, Double_t a, Double_t b)
Calculates the incomplete Beta-function.

Double_t TMath::Binomial (Int_t n, Int_t k)
Calculate the binomial coefficient n over k.

Double_t TMath::BinomialI (Double_t p, Int_t n, Int_t k)
Suppose an event occurs with probability p per trial Then the probability P of its occurring k or more times in n trials is termed a cumulative binomial probability the formula is P = sum_from_j=k_to_n(TMath::Binomial(n, j)* *TMath::Power(p, j)*TMathPower(1-p, n-j) For n larger than 12 BetaIncomplete is a much better way to evaluate the sum than would be the straightforward sum calculation for n smaller than 12 either method is acceptable ("Numerical Recipes") –implementation by Anna Kreshuk.

Double_t TMath::BreitWigner (Double_t x, Double_t mean=0, Double_t gamma=1)
Calculate a Breit Wigner function with mean and gamma.

void TMath::BubbleHigh (Int_t Narr, Double_t *arr1, Int_t *arr2)
Bubble sort variant to obtain the order of an array's elements into an index in order to do more useful things than the standard built in functions.

void TMath::BubbleLow (Int_t Narr, Double_t *arr1, Int_t *arr2)
Opposite ordering of the array arr2[] to that of BubbleHigh.

constexpr Double_t TMath::C ()
Velocity of light in $$m s^{-1}$$.

Double_t TMath::CauchyDist (Double_t x, Double_t t=0, Double_t s=1)
Computes the density of Cauchy distribution at point x by default, standard Cauchy distribution is used (t=0, s=1)

constexpr Double_t TMath::Ccgs ()
$$cm s^{-1}$$

double ceil (double)

Double_t TMath::Ceil (Double_t x)

Int_t TMath::CeilNint (Double_t x)

Double_t TMath::ChisquareQuantile (Double_t p, Double_t ndf)
Evaluate the quantiles of the chi-squared probability distribution function.

double cos (double)

Double_t TMath::Cos (Double_t)

double cosh (double)

Double_t TMath::CosH (Double_t)

template<typename T >
T * TMath::Cross (const T v1[3], const T v2[3], T out[3])
Calculate the Cross Product of two vectors: out = [v1 x v2].

constexpr Double_t TMath::CUncertainty ()
Speed of light uncertainty.

Double_t TMath::DiLog (Double_t x)
Modified Struve functions of order 1.

constexpr Double_t TMath::E ()
Base of natural log:

Double_t TMath::Erf (Double_t x)
Computation of the error function erf(x).

Double_t TMath::Erfc (Double_t x)
Compute the complementary error function erfc(x).

Double_t TMath::ErfcInverse (Double_t x)
returns the inverse of the complementary error function x must be 0<x<2 implement using the quantile of the normal distribution instead of ErfInverse for better numerical precision for large x

Double_t TMath::ErfInverse (Double_t x)
returns the inverse error function x must be <-1<x<1

constexpr Double_t TMath::EulerGamma ()
Euler-Mascheroni Constant.

double exp (double)

Double_t TMath::Exp (Double_t x)

Double_t TMath::Factorial (Int_t i)
Compute factorial(n).

Double_t TMath::FDist (Double_t F, Double_t N, Double_t M)
Computes the density function of F-distribution (probability function, integral of density, is computed in FDistI).

Double_t TMath::FDistI (Double_t F, Double_t N, Double_t M)
Calculates the cumulative distribution function of F-distribution, this function occurs in the statistical test of whether two observed samples have the same variance.

int finite (double)

Int_t TMath::Finite (Double_t x)
Check if it is finite with a mask in order to be consistent in presence of fast math.

Int_t TMath::Finite (Float_t x)
Check if it is finite with a mask in order to be consistent in presence of fast math.

double floor (double)

Double_t TMath::Floor (Double_t x)

Int_t TMath::FloorNint (Double_t x)

Double_t TMath::Freq (Double_t x)
Computation of the normal frequency function freq(x).

constexpr Double_t TMath::G ()
Gravitational constant in: $$m^{3} kg^{-1} s^{-2}$$.

Double_t TMath::Gamma (Double_t a, Double_t x)
Computation of the normalized lower incomplete gamma function P(a,x) as defined in the Handbook of Mathematical Functions by Abramowitz and Stegun, formula 6.5.1 on page 260 .

Double_t TMath::Gamma (Double_t z)
Computation of gamma(z) for all z.

Double_t TMath::GammaDist (Double_t x, Double_t gamma, Double_t mu=0, Double_t beta=1)
Computes the density function of Gamma distribution at point x.

Double_t TMath::Gaus (Double_t x, Double_t mean=0, Double_t sigma=1, Bool_t norm=kFALSE)
Calculate a gaussian function with mean and sigma.

constexpr Double_t TMath::Gcgs ()
$$cm^{3} g^{-1} s^{-2}$$

template<typename Iterator >
Double_t TMath::GeomMean (Iterator first, Iterator last)
Return the geometric mean of an array defined by the iterators.

template<typename T >
Double_t TMath::GeomMean (Long64_t n, const T *a)
Return the geometric mean of an array a of size n.

constexpr Double_t TMath::GhbarC ()
$$\frac{G}{\hbar C}$$ in $$(GeV/c^{2})^{-2}$$

constexpr Double_t TMath::GhbarCUncertainty ()
$$\frac{G}{\hbar C}$$ uncertainty.

constexpr Double_t TMath::Gn ()
Standard acceleration of gravity in $$m s^{-2}$$.

constexpr Double_t TMath::GnUncertainty ()
Standard acceleration of gravity uncertainty.

constexpr Double_t TMath::GUncertainty ()
Gravitational constant uncertainty.

constexpr Double_t TMath::H ()
Planck's constant in $$J s$$.

ULong_t TMath::Hash (const char *str)

ULong_t TMath::Hash (const void *txt, Int_t ntxt)
Calculates hash index from any char string.

constexpr Double_t TMath::Hbar ()
$$\hbar$$ in $$J s$$

constexpr Double_t TMath::Hbarcgs ()
$$erg s$$

constexpr Double_t TMath::HbarUncertainty ()
$$\hbar$$ uncertainty.

constexpr Double_t TMath::HC ()
$$hc$$ in $$J m$$

constexpr Double_t TMath::HCcgs ()
$$erg cm$$

constexpr Double_t TMath::Hcgs ()
$$erg s$$

constexpr Double_t TMath::HUncertainty ()
Planck's constant uncertainty.

Double_t TMath::Hypot (Double_t x, Double_t y)

Long_t TMath::Hypot (Long_t x, Long_t y)

Double_t TMath::Infinity ()
Returns an infinity as defined by the IEEE standard.

constexpr Double_t TMath::InvPi ()
$$\frac{1.}{\pi}$$

template<typename T >
Bool_t TMath::IsInside (T xp, T yp, Int_t np, T *x, T *y)
Function which returns kTRUE if point xp,yp lies inside the polygon defined by the np points in arrays x and y, kFALSE otherwise.

int isnan (double)

Bool_t TMath::IsNaN (Double_t x)

Bool_t TMath::IsNaN (Float_t x)

constexpr Double_t TMath::K ()
Boltzmann's constant in $$J K^{-1}$$.

constexpr Double_t TMath::Kcgs ()
$$erg K^{-1}$$

Double_t TMath::KolmogorovProb (Double_t z)
Calculates the Kolmogorov distribution function,.

Double_t TMath::KolmogorovTest (Int_t na, const Double_t *a, Int_t nb, const Double_t *b, Option_t *option)
Statistical test whether two one-dimensional sets of points are compatible with coming from the same parent distribution, using the Kolmogorov test.

template<class Element , typename Size >
Element TMath::KOrdStat (Size n, const Element *a, Size k, Size *work=0)
Returns k_th order statistic of the array a of size n (k_th smallest element out of n elements).

constexpr Double_t TMath::KUncertainty ()
Boltzmann's constant uncertainty.

Double_t TMath::Landau (Double_t x, Double_t mpv=0, Double_t sigma=1, Bool_t norm=kFALSE)
The LANDAU function.

Double_t TMath::LandauI (Double_t x)
Returns the value of the Landau distribution function at point x.

Double_t TMath::LaplaceDist (Double_t x, Double_t alpha=0, Double_t beta=1)
Computes the probability density function of Laplace distribution at point x, with location parameter alpha and shape parameter beta.

Double_t TMath::LaplaceDistI (Double_t x, Double_t alpha=0, Double_t beta=1)
Computes the distribution function of Laplace distribution at point x, with location parameter alpha and shape parameter beta.

double ldexp (double, int)

Double_t TMath::Ldexp (Double_t x, Int_t exp)

constexpr Double_t TMath::Ln10 ()
Natural log of 10 (to convert log to ln)

Double_t TMath::LnGamma (Double_t z)
Computation of ln[gamma(z)] for all z.

template<typename Iterator >
Iterator TMath::LocMax (Iterator first, Iterator last)
Return index of array with the maximum element.

template<typename T >
Long64_t TMath::LocMax (Long64_t n, const T *a)
Return index of array with the maximum element.

template<typename Iterator >
Iterator TMath::LocMin (Iterator first, Iterator last)
Return index of array with the minimum element.

template<typename T >
Long64_t TMath::LocMin (Long64_t n, const T *a)
Return index of array with the minimum element.

double log (double)

Double_t TMath::Log (Double_t x)

double log10 (double)

Double_t TMath::Log10 (Double_t x)

Double_t TMath::Log2 (Double_t x)

constexpr Double_t TMath::LogE ()
Base-10 log of e (to convert ln to log)

Double_t TMath::LogNormal (Double_t x, Double_t sigma, Double_t theta=0, Double_t m=1)
Computes the density of LogNormal distribution at point x.

template<typename T >
TMath::MaxElement (Long64_t n, const T *a)
Return maximum of array a of length n.

template<typename Iterator >
Double_t TMath::Mean (Iterator first, Iterator last)
Return the weighted mean of an array defined by the iterators.

template<typename Iterator , typename WeightIterator >
Double_t TMath::Mean (Iterator first, Iterator last, WeightIterator wfirst)
Return the weighted mean of an array defined by the first and last iterators.

template<typename T >
Double_t TMath::Mean (Long64_t n, const T *a, const Double_t *w=0)
Return the weighted mean of an array a with length n.

template<typename T >
Double_t TMath::Median (Long64_t n, const T *a, const Double_t *w=0, Long64_t *work=0)
Return the median of the array a where each entry i has weight w[i] .

template<typename T >
TMath::MinElement (Long64_t n, const T *a)
Return minimum of array a of length n.

constexpr Double_t TMath::MWair ()
Molecular weight of dry air 1976 US Standard Atmosphere in $$kg kmol^{-1}$$ or $$gm mol^{-1}$$

constexpr Double_t TMath::Na ()
Avogadro constant (Avogadro's Number) in $$mol^{-1}$$.

constexpr Double_t TMath::NaUncertainty ()

template<typename T >
Int_t TMath::Nint (T x)
Round to nearest integer. Rounds half integers to the nearest even integer.

template<typename T >
T * TMath::Normal2Plane (const T v1[3], const T v2[3], const T v3[3], T normal[3])
Calculate a normal vector of a plane.

Double_t TMath::Normalize (Double_t v[3])
Normalize a vector v in place.

Float_t TMath::Normalize (Float_t v[3])
Normalize a vector v in place.

template<typename T >
TMath::NormCross (const T v1[3], const T v2[3], T out[3])
Calculate the Normalized Cross Product of two vectors.

Double_t TMath::NormQuantile (Double_t p)
Computes quantiles for standard normal distribution N(0, 1) at probability p.

Bool_t TMath::Permute (Int_t n, Int_t *a)
Simple recursive algorithm to find the permutations of n natural numbers, not necessarily all distinct adapted from CERNLIB routine PERMU.

constexpr Double_t TMath::Pi ()

constexpr Double_t TMath::PiOver2 ()

constexpr Double_t TMath::PiOver4 ()

Double_t TMath::Poisson (Double_t x, Double_t par)
Compute the Poisson distribution function for (x,par).

Double_t TMath::PoissonI (Double_t x, Double_t par)
Compute the Discrete Poisson distribution function for (x,par).

double pow (double, double)

Double_t TMath::Power (Double_t x, Double_t y)

Double_t TMath::Power (Double_t x, Int_t y)

LongDouble_t TMath::Power (Long64_t x, Long64_t y)

LongDouble_t TMath::Power (LongDouble_t x, Long64_t y)

LongDouble_t TMath::Power (LongDouble_t x, LongDouble_t y)

Double_t TMath::Prob (Double_t chi2, Int_t ndf)
Computation of the probability for a certain Chi-squared (chi2) and number of degrees of freedom (ndf).

constexpr Double_t TMath::Qe ()
Elementary charge in $$C$$ .

constexpr Double_t TMath::QeUncertainty ()
Elementary charge uncertainty.

void TMath::Quantiles (Int_t n, Int_t nprob, Double_t *x, Double_t *quantiles, Double_t *prob, Bool_t isSorted=kTRUE, Int_t *index=0, Int_t type=7)
Computes sample quantiles, corresponding to the given probabilities.

Double_t TMath::QuietNaN ()
Returns a quiet NaN as defined by IEEE 754

constexpr Double_t TMath::R ()
Universal gas constant ( $$Na K$$) in $$J K^{-1} mol^{-1}$$

constexpr Double_t TMath::Rgair ()
Dry Air Gas Constant (R / MWair) in $$J kg^{-1} K^{-1}$$

template<typename Iterator >
Double_t TMath::RMS (Iterator first, Iterator last)
Return the Standard Deviation of an array defined by the iterators.

template<typename Iterator , typename WeightIterator >
Double_t TMath::RMS (Iterator first, Iterator last, WeightIterator wfirst)
Return the weighted Standard Deviation of an array defined by the iterators.

template<typename T >
Double_t TMath::RMS (Long64_t n, const T *a, const Double_t *w=0)
Return the Standard Deviation of an array a with length n.

Bool_t TMath::RootsCubic (const Double_t coef[4], Double_t &a, Double_t &b, Double_t &c)
Calculates roots of polynomial of 3rd order a*x^3 + b*x^2 + c*x + d, where.

constexpr Double_t TMath::RUncertainty ()
Universal gas constant uncertainty.

constexpr Double_t TMath::Sigma ()
Stefan-Boltzmann constant in $$W m^{-2} K^{-4}$$.

constexpr Double_t TMath::SigmaUncertainty ()
Stefan-Boltzmann constant uncertainty.

Double_t TMath::SignalingNaN ()
Returns a signaling NaN as defined by IEEE 754](http://en.wikipedia.org/wiki/NaN#Signaling_NaN)

double sin (double)

Double_t TMath::Sin (Double_t)

double sinh (double)

Double_t TMath::SinH (Double_t)

Double_t TMath::Sq (Double_t x)

double sqrt (double)

Double_t TMath::Sqrt (Double_t x)

constexpr Double_t TMath::Sqrt2 ()

template<typename Iterator >
Double_t TMath::StdDev (Iterator first, Iterator last)

template<typename Iterator , typename WeightIterator >
Double_t TMath::StdDev (Iterator first, Iterator last, WeightIterator wfirst)

template<typename T >
Double_t TMath::StdDev (Long64_t n, const T *a, const Double_t *w=0)

Double_t TMath::StruveH0 (Double_t x)
Bessel function Y1(x) for positive x.

Double_t TMath::StruveH1 (Double_t x)
Struve functions of order 0.

Double_t TMath::StruveL0 (Double_t x)
Struve functions of order 1.

Double_t TMath::StruveL1 (Double_t x)
Modified Struve functions of order 0.

Double_t TMath::Student (Double_t T, Double_t ndf)
Computes density function for Student's t- distribution (the probability function (integral of density) is computed in StudentI).

Double_t TMath::StudentI (Double_t T, Double_t ndf)
Calculates the cumulative distribution function of Student's t-distribution second parameter stands for number of degrees of freedom, not for the number of samples if x has Student's t-distribution, the function returns the probability of x being less than T.

Double_t TMath::StudentQuantile (Double_t p, Double_t ndf, Bool_t lower_tail=kTRUE)
Computes quantiles of the Student's t-distribution 1st argument is the probability, at which the quantile is computed 2nd argument - the number of degrees of freedom of the Student distribution When the 3rd argument lower_tail is kTRUE (default)- the algorithm returns such x0, that.

double tan (double)

Double_t TMath::Tan (Double_t)

double tanh (double)

Double_t TMath::TanH (Double_t)

constexpr Double_t TMath::TwoPi ()

Double_t TMath::Vavilov (Double_t x, Double_t kappa, Double_t beta2)
Returns the value of the Vavilov density function.

Double_t TMath::VavilovI (Double_t x, Double_t kappa, Double_t beta2)
Returns the value of the Vavilov distribution function.

Double_t TMath::Voigt (Double_t x, Double_t sigma, Double_t lg, Int_t r=4)
Computation of Voigt function (normalised).

## ◆ acos()

 double acos ( double )

## ◆ asin()

 double asin ( double )

## ◆ atan()

 double atan ( double )

## ◆ atan2()

 double atan2 ( double , double )

## ◆ ceil()

 double ceil ( double )

## ◆ cos()

 double cos ( double )

## ◆ cosh()

 double cosh ( double )

## ◆ exp()

 double exp ( double )

## ◆ finite()

 int finite ( double )

## ◆ floor()

 double floor ( double )

## ◆ isnan()

 int isnan ( double )

## ◆ ldexp()

 double ldexp ( double , int )

## ◆ log()

 double log ( double )

## ◆ log10()

 double log10 ( double )

## ◆ pow()

 double pow ( double , double )

## ◆ sin()

 double sin ( double )

## ◆ sinh()

 double sinh ( double )

## ◆ sqrt()

 double sqrt ( double )

## ◆ tan()

 double tan ( double )

## ◆ tanh()

 double tanh ( double )