vSMC
vSMC: Scalable Monte Carlo
residual_systematic.hpp
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2 // vSMC/include/vsmc/resample/residual_systematic.hpp
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4 // vSMC: Scalable Monte Carlo
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31 
32 #ifndef VSMC_RESAMPLE_RESIDUAL_SYSTEMATIC_HPP
33 #define VSMC_RESAMPLE_RESIDUAL_SYSTEMATIC_HPP
34 
37 
38 namespace vsmc
39 {
40 
44 {
45  public:
46  template <typename IntType, typename RNGType>
47  void operator()(std::size_t M, std::size_t N, RNGType &rng,
48  const double *weight, IntType *replication)
49  {
50  Vector<IntType> integ(M);
51  Vector<double> resid(M);
52  std::size_t R =
53  resample_trans_residual(M, N, weight, resid.data(), integ.data());
55  resample_trans_u01_rep(M, R, resid.data(), u01seq, replication);
56  add(M, replication, integ.data(), replication);
57  }
58 }; // ResampleResidualSystematic
59 
62 template <>
64 {
65  public:
67 }; // class ResampleTypeTrait
68 
69 } // namespace vsmc
70 
71 #endif // VSMC_RESAMPLE_RESIDUAL_SYSTEMATIC_HPP
Definition: monitor.hpp:49
void resample_trans_u01_rep(std::size_t M, std::size_t N, const double *weight, U01SeqType &&u01seq, IntType *replication)
Transform uniform [0, 1] sequence into replication numbers.
Definition: transform.hpp:43
typename std::conditional< std::is_scalar< T >::value, std::vector< T, AlignedAllocator< T >>, std::vector< T >>::type Vector
AlignedVector for scalar type and std::vector for others.
Generate a fixed length sequence of uniform random variates by systematic sampling.
void operator()(std::size_t M, std::size_t N, RNGType &rng, const double *weight, IntType *replication)
std::size_t resample_trans_residual(std::size_t M, std::size_t N, const double *weight, double *resid, IntType *integ)
Transform normalized weights to normalized residual and integrals, and return the number of remaining...
Definition: transform.hpp:155
Systematic resampling on residuals.
Definition: defines.hpp:73
Residual systematic resampling.
void add(std::size_t n, const float *a, const float *b, float *y)
Definition: vmath.hpp:109
Type trait of ResampleScheme parameter.
Definition: common.hpp:56