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vo002_VectorCalculations.C File Reference

Detailed Description

View in nbviewer Open in SWAN In this tutorial we learn how the RVec class can be used to express easily mathematical operations involving arrays and scalars.

using namespace ROOT::VecOps;
void vo002_VectorCalculations()
{
// Operations on RVec instances are made to be *fast* (vectorisation is exploited)
// and easy to use.
RVec<float> v1{1., 2., 3.};
RVec<float> v2{4., 5., 6.};
// Arithmetic operations are to be intended on pairs of elements with identical index
auto v_sum = v1 + v2;
auto v_mul = v1 * v2;
// Easy to inspect:
std::cout << "v1 = " << v1 << "\n"
<< "v2 = " << v2 << "\n"
<< "v1 + v2 = " << v_sum << "\n"
<< "v1 * v2 = " << v_mul << std::endl;
// It's also possible to mix scalars and RVecs
auto v_diff_s_0 = v1 - 2;
auto v_diff_s_1 = 2 - v1;
auto v_div_s_0 = v1 / 2.;
auto v_div_s_1 = 2. / v1;
std::cout << v1 << " - 2 = " << v_diff_s_0 << "\n"
<< "2 - " << v1 << " = " << v_diff_s_1 << "\n"
<< v1 << " / 2 = " << v_div_s_0 << "\n"
<< "2 / " << v1 << " = " << v_div_s_1 << std::endl;
// Dot product and the extraction of quantities such as Mean, Min and Max
// are also easy to express (see here for the full list:
// https://root.cern.ch/doc/master/namespaceROOT_1_1VecOps.html)
auto v1_mean = Mean(v1);
auto v1_dot_v2 = Dot(v1, v2);
std::cout << "Mean of " << v1 << " is " << v1_mean << "\n"
<< "Dot product of " << v1 << " and " << v2 << " is " << v1_dot_v2 << std::endl;
// Most used mathematical functions are supported
auto v_exp = exp(v1);
auto v_log = log(v1);
auto v_sin = sin(v1);
std::cout << "exp(" << v1 << ") = " << v_exp << "\n"
<< "log(" << v1 << ") = " << v_log << "\n"
<< "sin(" << v1 << ") = " << v_sin << std::endl;
// Even an optimised version of the functions is available
// provided that VDT is not disabled during the configuration
#ifdef R__HAS_VDT
auto v_fast_exp = fast_exp(v1);
auto v_fast_log = fast_log(v1);
auto v_fast_sin = fast_sin(v1);
std::cout << "fast_exp(" << v1 << ") = " << v_fast_exp << "\n"
<< "fast_log(" << v1 << ") = " << v_fast_log << "\n"
<< "fast_sin(" << v1 << ") = " << v_fast_sin << std::endl;
// It may happen that a custom operation needs to be applied to the RVec.
// In this case, the Map utitlity can be used:
auto v_transf = Map(v1, [](double x) { return x * 2 / 3; });
std::cout << "Applying [](double x){return x * 2 / 3;} to " << v1 << " leads to " << v_transf << "\n";
#endif
}
double sin(double)
double exp(double)
double log(double)
A "std::vector"-like collection of values implementing handy operation to analyse them.
Definition RVec.hxx:296
Double_t x[n]
Definition legend1.C:17
auto Map(Args &&... args) -> decltype(ROOT::Detail::VecOps::MapFromTuple(std::forward_as_tuple(args...), std::make_index_sequence< sizeof...(args) - 1 >()))
Create new collection applying a callable to the elements of the input collection.
Definition RVec.hxx:942
double fast_log(double x)
double fast_exp(double x)
Double_t Mean(Long64_t n, const T *a, const Double_t *w=0)
Return the weighted mean of an array a with length n.
Definition TMath.h:1073
#define Dot(u, v)
Definition normal.c:49
v1 = { 1, 2, 3 }
v2 = { 4, 5, 6 }
v1 + v2 = { 5, 7, 9 }
v1 * v2 = { 4, 10, 18 }
{ 1, 2, 3 } - 2 = { -1, 0, 1 }
2 - { 1, 2, 3 } = { 1, 0, -1 }
{ 1, 2, 3 } / 2 = { 0.5, 1, 1.5 }
2 / { 1, 2, 3 } = { 2, 1, 0.666667 }
Mean of { 1, 2, 3 } is 2
Dot product of { 1, 2, 3 } and { 4, 5, 6 } is 32
exp({ 1, 2, 3 }) = { 2.71828, 7.38906, 20.0855 }
log({ 1, 2, 3 }) = { 0, 0.693147, 1.09861 }
sin({ 1, 2, 3 }) = { 0.841471, 0.909297, 0.14112 }
fast_exp({ 1, 2, 3 }) = { 2.71828, 7.38906, 20.0855 }
fast_log({ 1, 2, 3 }) = { 0, 0.693147, 1.09861 }
fast_sin({ 1, 2, 3 }) = { 0.841471, 0.909297, 0.14112 }
Applying [](double x){return x * 2 / 3;} to { 1, 2, 3 } leads to { 0.666667, 1.33333, 2 }
Date
May 2018
Author
Danilo Piparo

Definition in file vo002_VectorCalculations.C.