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java.lang.Object | +----org.netlib.lapack.DLASSQ
DLASSQ is a simplified interface to the JLAPACK routine dlassq. This interface converts Java-style 2D row-major arrays into the 1D column-major linearized arrays expected by the lower level JLAPACK routines. Using this interface also allows you to omit offset and leading dimension arguments. However, because of these conversions, these routines will be slower than the low level ones. Following is the description from the original Fortran source. 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 ..
public DLASSQ()
public static void DLASSQ(int n, double x[], int incx, doubleW scale, doubleW sumsq)
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