Functions/Subroutines
subroutine	uniformrandomnumbers1d (minv, maxv, n, phi)
	generate one dimension of uniform random numbers More...

subroutine	normalrandomnumbers1d (mean, stdev, n, phi)
	generate one dimension of Normal random numbers More...

subroutine	normalrandomnumbers2d (mean, stdev, n, k, phi)
	generate two dimensional Normal random numbers More...

subroutine	mixturerandomnumbers1d (mean, stdev, ufac, epsi, n, phi, uniform)
	generate one dimensional vector drawn from mixture density More...

subroutine	mixturerandomnumbers2d (mean, stdev, ufac, epsi, n, k, phi, uniform)
	generate two dimensional vector, each drawn from mixture density More...

subroutine	random_seed_mpi (pfid)
	Subroutine to set the random seed across MPI threads. More...

Function/Subroutine Documentation

subroutine mixturerandomnumbers1d	(	real(kind=kind(1.0d0)), intent(in)	mean,
		real(kind=kind(1.0d0)), intent(in)	stdev,
		real(kind=kind(1.0d0)), intent(in)	ufac,
		real(kind=kind(1.0d0)), intent(in)	epsi,
		integer, intent(in)	n,
		real(kind=kind(1.0d0)), dimension(n), intent(out)	phi,
		logical, intent(out)	uniform
	)

generate one dimensional vector drawn from mixture density

Parameters

[in]	mean	Mean of normal distribution
[in]	stdev	Standard deviation of normal distribution
[in]	ufac	half-width of uniform distribution that is centered on the mean
[in]	epsi	Proportion controlling mixture draw. if random_number > epsi then draw from uniform, else normal
[in]	n	size of output vector
[out]	phi	n dimensional mixture random numbers
[out]	uniform	True if mixture drawn from uniform. False if drawn from normal

Definition at line 158 of file gen_rand.f90.

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subroutine mixturerandomnumbers2d	(	real(kind=kind(1.0d0)), intent(in)	mean,
		real(kind=kind(1.0d0)), intent(in)	stdev,
		real(kind=kind(1.0d0)), intent(in)	ufac,
		real(kind=kind(1.0d0)), intent(in)	epsi,
		integer, intent(in)	n,
		integer, intent(in)	k,
		real(kind=kind(1.0d0)), dimension(n,k), intent(out)	phi,
		logical, dimension(k), intent(out)	uniform
	)

generate two dimensional vector, each drawn from mixture density

Parameters

[in]	mean	Mean of normal distribution
[in]	stdev	Standard deviation of normal distribution
[in]	ufac	half-width of uniform distribution that is centered on the mean
[in]	epsi	Proportion controlling mixture draw. if random_number > epsi then draw from uniform, else normal
[in]	n	first dimension of output vector
[in]	k	second dimension of output vector
[out]	phi	n,k dimensional mixture random numbers
[out]	uniform	k dimensional logical with uniform(i) True if phi(:,i) drawn from uniform. False if drawn from normal

Definition at line 207 of file gen_rand.f90.

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subroutine normalrandomnumbers1d	(	real(kind=rk), intent(in)	mean,
		real(kind=rk), intent(in)	stdev,
		integer, intent(in)	n,
		real(kind=rk), dimension(n), intent(out)	phi
	)

generate one dimension of Normal random numbers

Parameters

[in]	n	n size of output vector
[in]	mean	mean mean of normal distribution
[in]	stdev	stdev Standard Deviation of normal distribution
[out]	phi	phi n dimensional normal random numbers

Definition at line 74 of file gen_rand.f90.

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subroutine normalrandomnumbers2d	(	real(kind=rk), intent(in)	mean,
		real(kind=rk), intent(in)	stdev,
		integer, intent(in)	n,
		integer, intent(in)	k,
		real(kind=rk), dimension(n,k), intent(out)	phi
	)

generate two dimensional Normal random numbers

Parameters

[in]	n	n first dimension of output vector
[in]	k	k second dimension of output vector
[in]	mean	mean mean of normal distribution
[in]	stdev	stdev Standard Deviation of normal distribution
[out]	phi	phi n,k dimensional normal random numbers

Definition at line 109 of file gen_rand.f90.

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subroutine random_seed_mpi ( integer, intent(in) pfid )

Subroutine to set the random seed across MPI threads.

Parameters

[in] pfid The process identifier of the MPI process

Definition at line 233 of file gen_rand.f90.

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subroutine uniformrandomnumbers1d	(	real(kind=rk), intent(in)	minv,
		real(kind=rk), intent(in)	maxv,
		integer, intent(in)	n,
		real(kind=rk), dimension(n), intent(out)	phi
	)

generate one dimension of uniform random numbers

Parameters

[in]	n	n size of output vector
[in]	minv	minv minimum value of uniform distribution
[in]	maxv	maxv maximum value of uniform distribution
[out]	phi	phi n dimensional uniform random numbers

Definition at line 59 of file gen_rand.f90.

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Data Types