v?CdfNormInv

Computes the inverse cumulative normal distribution function values of vector elements.

Syntax

Fortran:

call vscdfnorminv( n, a, y )

call vmscdfnorminv( n, a, y, mode )

call vdcdfnorminv( n, a, y )

call vmdcdfnorminv( n, a, y, mode )

C:

vsCdfNormInv( n, a, y );

vmsCdfNormInv( n, a, y, mode );

vdCdfNormInv( n, a, y );

vmdCdfNormInv( n, a, y, mode );

Include Files

The FORTRAN 77 interfaces are specified in the mkl_vml.f77 include file, the Fortran 90 interfaces are specified in the mkl_vml.f90 include file, and the C interfaces are specified in the mkl_vml_functions.h include file.

Input Parameters

Name

Type

Description

n

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(IN)

C: const int

Specifies the number of elements to be calculated.

a

FORTRAN 77: REAL for vscdfnorminv, vmscdfnorminv

DOUBLE PRECISION for vdcdfnorminv, vmdcdfnorminv

Fortran 90: REAL, INTENT(IN) for vscdfnorminv, vmscdfnorminv

DOUBLE PRECISION, INTENT(IN) for vdcdfnorminv, vmdcdfnorminv

C: const float* for vsCdfNormInv, vmsCdfNormInv

const double* for vdCdfNormInv, vmdCdfNormInv

FORTRAN: Array that specifies the input vector a.

C: Pointer to an array that contains the input vector a.

mode

FORTRAN 77: INTEGER*8

Fortran 90: INTEGER(KIND=8), INTENT(IN)

C: const MKL_INT64

Overrides global VML mode setting for this function call. See SetMode for possible values and their description.

Output Parameters

Name

Type

Description

y

FORTRAN 77: REAL for vscdfnorminv, vmscdfnorminv

DOUBLE PRECISION for vdcdfnorminv, vmdcdfnorminv

Fortran 90: REAL, INTENT(OUT) for vscdfnorminv, vmscdfnorminv

DOUBLE PRECISION, INTENT(OUT) for vdcdfnorminv, vmdcdfnorminv

C: float* for vsCdfNormInv, vmsCdfNormInv

double* for vdCdfNormInv, vmdCdfNormInv

FORTRAN: Array that specifies the output vector y.

C: Pointer to an array that contains the output vector y.

Description

The CdfNormInv function computes the inverse cumulative normal distribution function values for elements of the input vector a and writes them to the output vector y.

The inverse cumulative normal distribution function is defined as given by:


Equation

where CdfNorm(x) denotes the cumulative normal distribution function.

Useful relations:


Sparse Matrices That Can be Solved With PARDISO

where erfinv(x) denotes the inverse error function and erfcinv(x) denotes the inverse complementary error functions.

See also Figure "ErfInv Family Functions Relationship" in ErfInv function description for CdfNormInv function relationship with the other functions of ErfInv family.

Special Values for Real Function v?CdfNormInv(x)
Argument Result VML Error Status Exception
+0.5 +0    
+1 + VML_STATUS_SING ZERODIVIDE
-0 - VML_STATUS_SING ZERODIVIDE
+0 - VML_STATUS_SING ZERODIVIDE
X < -0 QNAN VML_STATUS_ERRDOM INVALID
X > +1 QNAN VML_STATUS_ERRDOM INVALID
+ QNAN VML_STATUS_ERRDOM INVALID
- QNAN VML_STATUS_ERRDOM INVALID
QNAN QNAN    
SNAN QNAN   INVALID

See Also


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