add model uncertainty estimation

add model uncertainty estimation with random models, also indent all the
code to make them a little bit easy to read
bug fix about shift when output the velocity model

example/DSurfTomo.in

@@ -5,7 +5,7 @@ surfdataTB.dat			 c: data file
 18 18 9                          c: nx ny nz (grid number in lat lon and depth direction)
 25.2  121.35                     c: goxd gozd (upper left point,[lat,lon])
 0.015 0.017                      c: dvxd dvzd (grid interval in lat and lon direction)
-449                              c: nsrc*maxf 
+25i                              c: nsrc*maxf 
 4.0  0.0                         c: weight damp
 3                                c: nsublayer (numbers of sublayers for each grid interval:grid --> layer)
 0.5 2.8                          c: minimum velocity, maximum velocity
@@ -19,3 +19,5 @@ surfdataTB.dat			 c: data file
 0                                c: synthetic flag(0:real data,1:synthetic)
 0.02                             c: noiselevel 
 2.5				 c: threshold
+1				 c: modest (1: estimate model variation, 0: no estimation)
+30				 c: number of random models

src/aprod.f90

@@ -4,57 +4,57 @@
 !c  Version for use with sparse matrix specified by
 !c  output of subroutine sparse for use with LSQR
 
-	subroutine aprod(mode, m, n, x, y, leniw, lenrw, iw, rw)
+subroutine aprod(mode, m, n, x, y, leniw, lenrw, iw, rw)
 
-	implicit none
+  implicit none
 
-!c	Parameters:
-	integer	mode		! ==1: Compute  y = y + a*x
-				! 	y is altered without changing x
-				! ==2: Compute  x = x + a(transpose)*y
-				!	x is altered without changing y
-	integer	m, n		! Row and column dimensions of a
-	real	x(n), y(m)	! Input vectors
-	integer :: leniw
-	integer lenrw
-	integer	iw(leniw)	! Integer work vector containing:
-				! iw[1]  Number of non-zero elements in a
-				! iw[2:iw[1]+1]  Row indices of non-zero elements
-				! iw[iw[1]+2:2*iw[1]+1]  Column indices
-	real	rw(lenrw)	! [1..iw[1]] Non-zero elements of a
+  !c	Parameters:
+  integer	mode		! ==1: Compute  y = y + a*x
+  ! 	y is altered without changing x
+  ! ==2: Compute  x = x + a(transpose)*y
+  !	x is altered without changing y
+  integer	m, n		! Row and column dimensions of a
+  real	x(n), y(m)	! Input vectors
+  integer :: leniw
+  integer lenrw
+  integer	iw(leniw)	! Integer work vector containing:
+  ! iw[1]  Number of non-zero elements in a
+  ! iw[2:iw[1]+1]  Row indices of non-zero elements
+  ! iw[iw[1]+2:2*iw[1]+1]  Column indices
+  real	rw(lenrw)	! [1..iw[1]] Non-zero elements of a
 
-!c	Local variables:
-	integer i1
-	integer j1
-	integer k
-	integer kk
+  !c	Local variables:
+  integer i1
+  integer j1
+  integer k
+  integer kk
 
-!c	set the ranges the indices in vector iw
+  !c	set the ranges the indices in vector iw
 
-	kk=iw(1)
-	i1=1
-	j1=kk+1
+  kk=iw(1)
+  i1=1
+  j1=kk+1
 
-!c	main iteration loop
+  !c	main iteration loop
 
-	do k = 1,kk
+  do k = 1,kk
 
-	if (mode.eq.1) then
+    if (mode.eq.1) then
 
-!c	compute  y = y + a*x
+      !c	compute  y = y + a*x
 
-	y(iw(i1+k)) = y(iw(i1+k)) + rw(k)*x(iw(j1+k))
+      y(iw(i1+k)) = y(iw(i1+k)) + rw(k)*x(iw(j1+k))
 
-	else
+    else
 
-!c	compute  x = x + a(transpose)*y
+      !c	compute  x = x + a(transpose)*y
 
-	x(iw(j1+k)) = x(iw(j1+k)) + rw(k)*y(iw(i1+k))
+      x(iw(j1+k)) = x(iw(j1+k)) + rw(k)*y(iw(i1+k))
 
-	endif
-        enddo
+    endif
+  enddo
 
-!  100	continue
+  !  100	continue
 
-	return
-	end
+  return
+  end

src/delsph.f90

@@ -1,28 +1,28 @@
 subroutine delsph(flat1,flon1,flat2,flon2,del)
-implicit none
-real,parameter:: R=6371.0
-REAL,parameter:: pi=3.1415926535898
-real flat1,flat2
-real flon1,flon2
-real del
+  implicit none
+  real,parameter:: R=6371.0
+  REAL,parameter:: pi=3.1415926535898
+  real flat1,flat2
+  real flon1,flon2
+  real del
 
-real dlat
-real dlon
-real lat1
-real lat2
-real a
-real c
+  real dlat
+  real dlon
+  real lat1
+  real lat2
+  real a
+  real c
 
 
-!dlat=(flat2-flat1)*pi/180
-!dlon=(flon2-flon1)*pi/180
-!lat1=flat1*pi/180
-!lat2=flat2*pi/180
-dlat=flat2-flat1
-dlon=flon2-flon1
-lat1=pi/2-flat1
-lat2=pi/2-flat2
-a=sin(dlat/2)*sin(dlat/2)+sin(dlon/2)*sin(dlon/2)*cos(lat1)*cos(lat2)
-c=2*atan2(sqrt(a),sqrt(1-a))
-del=R*c
+  !dlat=(flat2-flat1)*pi/180
+  !dlon=(flon2-flon1)*pi/180
+  !lat1=flat1*pi/180
+  !lat2=flat2*pi/180
+  dlat=flat2-flat1
+  dlon=flon2-flon1
+  lat1=pi/2-flat1
+  lat2=pi/2-flat2
+  a=sin(dlat/2)*sin(dlat/2)+sin(dlon/2)*sin(dlon/2)*cos(lat1)*cos(lat2)
+  c=2*atan2(sqrt(a),sqrt(1-a))
+  del=R*c
 end subroutine

src/gaussian.f90

@@ -1,31 +1,31 @@
-	real function gaussian()
-	implicit none
-!	real rd
-	
-	real x1,x2,w,y1
-	real y2
-	real n1,n2
-	integer use_last
-	integer ii,jj
+real function gaussian()
+  implicit none
+  !	real rd
 
-	use_last=0
-	y2=0
-	w=2.0
-	if(use_last.ne.0) then
-	  y1=y2
-	  use_last=0
-	else
-	  do while (w.ge.1.0)
-	   call random_number(n1)
-	   call random_number(n2)
-	    x1=2.0*n1-1.0
-	    x2=2.0*n2-1.0
-	    w = x1 * x1 + x2 * x2
-	  enddo
-	w=((-2.0*log(w))/w)**0.5
-	y1=x1*w
-	y2=x2*w
-	use_last=1
-	endif
-	gaussian=y1
-	end function
+  real x1,x2,w,y1
+  real y2
+  real n1,n2
+  integer use_last
+  integer ii,jj
+
+  use_last=0
+  y2=0
+  w=2.0
+  if(use_last.ne.0) then
+    y1=y2
+    use_last=0
+  else
+    do while (w.ge.1.0)
+      call random_number(n1)
+      call random_number(n2)
+      x1=2.0*n1-1.0
+      x2=2.0*n2-1.0
+      w = x1 * x1 + x2 * x2
+    enddo
+    w=((-2.0*log(w))/w)**0.5
+    y1=x1*w
+    y2=x2*w
+    use_last=1
+  endif
+  gaussian=y1
+end function