92 for(dim=0; dim < dimension; dim++) {
93 vector[dim] =
_nextq[dim] * recip;
114 for(dim=0; dim<dimension; dim++) {
133 for(i_dim=0; i_dim<dimension; i_dim++) {
135 const int poly_index = i_dim + 1;
157 for(k=0; k<=px_degree; k++) {
163 for(j=0; j<
NBits; j++) {
182 if(u == px_degree) u = 0;
191 for(j=0; j<
NBits; j++) {
192 term = 2*term + ci[
r][j];
194 _cj[
r][i_dim] = term;
205 int pb[],
int * pb_degree,
int v[],
int maxv)
207 const int nonzero_element = 1;
208 const int arbitrary_element = 1;
216 int bigm = *pb_degree;
228 polyMultiply(px, px_degree, pb, *pb_degree, pb, pb_degree);
247 for(
r=0;
r<kj;
r++) {
254 for(
r=kj+1;
r<
m;
r++) {
255 v[
r] = arbitrary_element;
261 int term =
sub(0, ph[kj]);
263 for(
r=kj+1;
r<bigm;
r++) {
264 v[
r] = arbitrary_element;
273 v[bigm] =
add(nonzero_element, term);
275 for(
r=bigm+1;
r<
m;
r++) {
276 v[
r] = arbitrary_element;
283 for(
r=0;
r<=maxv-
m;
r++) {
286 term =
sub(term,
mul(pb[k],
v[
r+k]));
297 int pb_degree,
int pc[],
int * pc_degree)
301 int pt_degree = pa_degree + pb_degree;
303 for(k=0; k<=pt_degree; k++) {
305 for(j=0; j<=k; j++) {
306 const int conv_term =
mul(pa[k-j], pb[j]);
307 term =
add(term, conv_term);
312 for(k=0; k<=pt_degree; k++) {
319 *pc_degree = pt_degree;
338 { 1, 0, 0, 0, 0, 0 },
339 { 0, 1, 0, 0, 0, 0 },
340 { 1, 1, 0, 0, 0, 0 },
341 { 1, 1, 1, 0, 0, 0 },
342 { 1, 1, 0, 1, 0, 0 },
343 { 1, 0, 1, 1, 0, 0 },
344 { 1, 1, 0, 0, 1, 0 },
345 { 1, 0, 0, 1, 1, 0 },
346 { 1, 1, 1, 1, 1, 0 },
347 { 1, 0, 1, 0, 0, 1 },
348 { 1, 0, 0, 1, 0, 1 },
349 { 1, 1, 1, 1, 0, 1 },
359 0, 1, 1, 2, 3, 3, 4, 4, 4, 5, 5, 5, 5
This class generates the quasi-random (aka "low discrepancy") sequence for dimensions up to 12 using ...
void polyMultiply(const int pa[], int pa_degree, const int pb[], int pb_degree, int pc[], int *pc_degree)
Internal function.
RooQuasiRandomGenerator()
Perform one-time initialization of our static coefficient array if necessary and initialize our works...
void calculateV(const int px[], int px_degree, int pb[], int *pb_degree, int v[], int maxv)
Internal function.
Bool_t generate(UInt_t dimension, Double_t vector[])
Generate the next number in the sequence for the specified dimension.
Int_t mul(Int_t x, Int_t y) const
void reset()
Reset the workspace to its initial state.
void calculateCoefs(UInt_t dimension)
Calculate the coefficients for the given number of dimensions.
static Int_t _cj[NBits][MaxDimension]
virtual ~RooQuasiRandomGenerator()
Destructor.
static Bool_t _coefsCalculated
static const Int_t _polyDegree[MaxDimension+1]
static const Int_t _primitivePoly[MaxDimension+1][MaxPrimitiveDegree+1]
Int_t add(Int_t x, Int_t y) const
Int_t sub(Int_t x, Int_t y) const
Mother of all ROOT objects.
static constexpr double pc