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Class org.netlib.lapack.Dlassq

java.lang.Object
   |
   +----org.netlib.lapack.Dlassq

public class Dlassq

extends Object

Following is the description from the original
Fortran source.  For each array argument, the Java
version will include an integer offset parameter, so
the arguments may not match the description exactly.
Contact seymour@cs.utk.edu with any questions.

 *     ..
 *
 *  Purpose
 *  =======
 *
 *  DLASSQ  returns the values  scl  and  smsq  such that
 *
 *     ( scl**2 )*smsq = x( 1 )**2 +...+ x( n )**2 + ( scale**2 )*sumsq,
 *
 *  where  x( i ) = X( 1 + ( i - 1 )*INCX ). The value of  sumsq  is
 *  assumed to be non-negative and  scl  returns the value
 *
 *     scl = max( scale, abs( x( i ) ) ).
 *
 *  scale and sumsq must be supplied in SCALE and SUMSQ and
 *  scl and smsq are overwritten on SCALE and SUMSQ respectively.
 *
 *  The routine makes only one pass through the vector x.
 *
 *  Arguments
 *  =========
 *
 *  N       (input) INTEGER
 *          The number of elements to be used from the vector X.
 *
 *  X       (input) DOUBLE PRECISION
 *          The vector for which a scaled sum of squares is computed.
 *             x( i )  = X( 1 + ( i - 1 )*INCX ), 1 <= i <= n.
 *
 *  INCX    (input) INTEGER
 *          The increment between successive values of the vector X.
 *          INCX > 0.
 *
 *  SCALE   (input/output) DOUBLE PRECISION
 *          On entry, the value  scale  in the equation above.
 *          On exit, SCALE is overwritten with  scl , the scaling factor
 *          for the sum of squares.
 *
 *  SUMSQ   (input/output) DOUBLE PRECISION
 *          On entry, the value  sumsq  in the equation above.
 *          On exit, SUMSQ is overwritten with  smsq , the basic sum of
 *          squares from which  scl  has been factored out.
 *
 * =====================================================================
 *
 *     .. Parameters ..

Dlassq()

dlassq(int, double[], int, int, doubleW, doubleW)

 public Dlassq()

 public static void dlassq(int n,
                           double x[],
                           int _x_offset,
                           int incx,
                           doubleW scale,
                           doubleW sumsq)

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