File: vnorm.f

package info (click to toggle)
python-scipy 0.5.2-0.1
  • links: PTS
  • area: main
  • in suites: etch, etch-m68k
  • size: 33,888 kB
  • ctags: 44,231
  • sloc: ansic: 156,256; cpp: 90,347; python: 89,604; fortran: 73,083; sh: 1,318; objc: 424; makefile: 342
file content (18 lines) | stat: -rw-r--r-- 720 bytes parent folder | download | duplicates (7)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
      double precision function vnorm (n, v, w)
clll. optimize
c-----------------------------------------------------------------------
c this function routine computes the weighted root-mean-square norm
c of the vector of length n contained in the array v, with weights
c contained in the array w of length n..
c   vnorm = sqrt( (1/n) * sum( v(i)*w(i) )**2 )
c-----------------------------------------------------------------------
      integer n,   i
      double precision v, w,   sum
      dimension v(n), w(n)
      sum = 0.0d0
      do 10 i = 1,n
 10     sum = sum + (v(i)*w(i))**2
      vnorm = dsqrt(sum/dfloat(n))
      return
c----------------------- end of function vnorm -------------------------
      end