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NAG[g05lhc] NAG[nag_rngs_triangular] - Generates a vector of random numbers from a triangular distribution, seeds and generator number passed explicitly
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Calling Sequence
g05lhc(xmin, xmax, xmed, n, x, igen, iseed, 'fail'=fail)
nag_rngs_triangular(. . .)
Parameters
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xmin - float;
xmax - float;
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On entry: the end points and of the uniform distribution.
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Constraint: . .
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xmed - float;
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On entry: the median of the distribution (also the location of the vertex of the triangular distribution at which the PDF reaches a maximum).
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Constraint: . .
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n - integer;
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On entry: , the number of pseudo-random numbers to be generated.
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Constraint: . .
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x - Vector(1..dim, datatype=float[8]);
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Note: the dimension, dim, of the array x must be at least .
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On exit: the pseudo-random numbers from the specified triangular distribution.
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iseed - Vector(1.., datatype=integer[kernelopts('wordsize')/8]);
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On entry: contains values which define the current state of the selected generator.
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On exit: contains updated values defining the new state of the selected generator.
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'fail'=fail - table; (optional)
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The NAG error argument, see the documentation for NagError.
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Description
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Purpose
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nag_rngs_triangular (g05lhc) generates a vector of pseudo-random numbers from a triangular distribution with arguments , and .
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Error Indicators and Warnings
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"NE_BAD_PARAM"
On entry, argument had an illegal value.
"NE_INT"
On entry, . Constraint: .
"NE_INTERNAL_ERROR"
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please consult NAG for assistance.
"NE_REAL_2"
On entry, , . Constraint: .
On entry, , . Constraint: .
On entry, , . Constraint: .
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Examples
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>
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xmin := -1:
xmax := 1:
xmed := 0.5:
n := 5:
igen := 1:
x := Vector(5, datatype=float[8]):
iseed := Vector([1762543, 9324783, 42344, 742355], datatype=integer[kernelopts('wordsize')/8]):
NAG:-g05lhc(xmin, xmax, xmed, n, x, igen, iseed):
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