Collection of Concrete Vector Reduction/Transformation Operator Implementations
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Generate a random vector in the range [l,u]: z0[i] = 0.5*((u-l)*Teuchos::ScalarTraits<Scalar>::random()+(u+l)), i=0...n-1
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#include <RTOpPack_TOpRandomize.hpp>
Public Member Functions | |
TOpRandomize (const Scalar &l=-ScalarTraits< Scalar >::one(), const Scalar &u=+ScalarTraits< Scalar >::one()) | |
void | set_bounds (const Scalar &l, const Scalar &u) |
void | set_seed (const unsigned int seed) |
unsigned int | get_seed () const |
Static Public Member Functions | |
static void | set_static_seed (const unsigned int static_seed) |
static unsigned int | get_static_seed () |
Overridden from RTOpT | |
void | apply_op_impl (const ArrayView< const ConstSubVectorView< Scalar > > &sub_vecs, const ArrayView< const SubVectorView< Scalar > > &targ_sub_vecs, const Ptr< ReductTarget > &reduct_obj_inout) const |
Generate a random vector in the range [l,u]: z0[i] = 0.5*((u-l)*Teuchos::ScalarTraits<Scalar>::random()+(u+l)), i=0...n-1
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The seed for the random number generator can be set by TOpRandomize<Scalar>::set_seed(s)
where s
is some unsigned integer. Note that this class generates random numbers based on the initial seed and the global element ID so this should produce the same pseudo-random elements independent of the number of processors being used.
The seed changes every time a new object is created in order to improve the randomness to some degree.
Definition at line 65 of file RTOpPack_TOpRandomize.hpp.
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inline |
Definition at line 74 of file RTOpPack_TOpRandomize.hpp.
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inlinestatic |
Definition at line 69 of file RTOpPack_TOpRandomize.hpp.
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inlinestatic |
Definition at line 72 of file RTOpPack_TOpRandomize.hpp.
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inline |
Definition at line 85 of file RTOpPack_TOpRandomize.hpp.
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inline |
Definition at line 88 of file RTOpPack_TOpRandomize.hpp.
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inline |
Definition at line 90 of file RTOpPack_TOpRandomize.hpp.
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inlinevirtual |
Implements RTOpPack::RTOpT< Scalar >.
Definition at line 94 of file RTOpPack_TOpRandomize.hpp.