ssum(3S)
SSUM, DSUM, CSUM, ZSUM - Sums the elements of a real or complex vector
As shipped in IRIX 6.5.30. Last changed in IRIX 6.5.19.
NAME SSUM, DSUM, CSUM, ZSUM - Sums the elements of a real or complex vector SYNOPSIS Single precision Fortran: real SSUM real sum sum = SSUM (n, x, incx) C/C++: #include <scsl_blas.h> float ssum (int n, float *x, int incx); Double precision Fortran: double precision IDSUM double precision sum sum = DSUM (n, x, incx) CC++: #include <scsl_blas.h> double dsum (int n, double *x, int incx); Single precision complex Fortran: complex CSUM complex sum sum = CSUM (n, x, incx) C/C++: #include <scsl_blas.h> scsl_complex csum (int n, scsl_complex *x, int incx); C++ STL: #include <complex.h> #include <scsl_blas.h> complex<float> csum (int n, complex<float> *x, int incx); Double precision complex Fortran: double complex ZSUM double complex sum sum = ZSUM (n, x, incx) C/C++: #include <scsl_blas.h> scsl_zomplex zsum (int n, scsl_zomplex *x, int incx); C++ STL: #include <complex.h> #include <scsl_blas.h> complex<double> zsum (int n, complex<double> *x, int incx); IMPLEMENTATION These routines are part of the SCSL Scientific Library and can be loaded using either the -lscs or the -lscs_mp option. The -lscs_mp option directs the linker to use the multi-processor version of the library. When linking to SCSL with -lscs or -lscs_mp, the default integer size is 4 bytes (32 bits). Another version of SCSL is available in which integers are 8 bytes (64 bits). This version allows the user access to larger memory sizes and helps when porting legacy Cray codes. It can be loaded by using the -lscs_i8 option or the -lscs_i8_mp option. A program may use only one of the two versions; 4-byte integer and 8-byte integer library calls cannot be mixed. The C and C++ prototypes shown above are appropriate for the 4-byte integer version of SCSL. When using the 8-byte integer version, the variables of type int become long long and the <scsl_blas.h> header file should be included. DESCRIPTION SSUM/DSUM sums the elements of a real vector. CSUM/ZSUM sums the elements of a complex vector. These routines perform the following vector operation: n sum <- Sum x i=1 i These routines have the following arguments: sum Sum of the elements of the vector x. If n <= 0, sum is set to 0. (input) SSUM: Single precision sum. DSUM: Double precision sum. CSUM: Single precision complex sum. ZSUM: Double precision complex sum. n Integer. (input) Number of vector elements to be summed. x Array of dimension (n-1) * |incx| + 1. (input) SSUM: Single precision array. DSUM: Double precision array. CSUM: Single precision complex array. ZSUM: Double precision complex array. Vector that contains elements to be summed. incx Integer. (input) Increment between elements of x. If incx = 0, the results will be unpredictable. NOTES These routines are extensions to the standard Level 1 Basic Linear Algebra Subprograms (Level 1 BLAS). When working backward (incx < 0), each routine starts at the end of the vector and moves backward, as follows: Fortran: x(1 - incx * (n-1)), x(1 - incx * (n-2)), ..., x(1) C/C++: x[-incx * (n-1)], x[-incx * (n-2)], ..., x[0] Data Types The following data types are described in this documentation: Term Used Data type Fortran: Array dimensioned n x(n) Integer INTEGER (INTEGER*8 for -lscs_i8[_mp]) Single precision REAL Double precision DOUBLE PRECISION Single precision complex COMPLEX Double precision complex DOUBLE COMPLEX C/C++: Array dimensioned n x[n] Integer int (long long for -lscs_i8[_mp]) Single precision float Double precision double Single precision complex scsl_complex Double precision complex scsl_zomplex C++ STL: Array dimensioned n x[n] Integer int (long long for -lscs_i8[_mp]) Single precision float Double precision double Single precision complex complex<float> Double precision complex complex<double> SEE ALSO INTRO_SCSL(3S), INTRO_BLAS1(3S) INTRO_CBLAS(3S) for information about using the C interface to Fortran 77 Basic Linear Algebra Subprograms (legacy BLAS) set forth by the Basic Linear Algebra Subprograms Technical Forum.