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#! /bin/sh

     ###################################### 
     ##### Model Transformation Tools #####
    ######################################

###############################################################
## Version control history
###############################################################
## $Id$
## $Log$



## Revision 1.20  1999/04/02 02:13:58  peterg
## Back to RCS
##
## Revision 1.19  1999/03/30 21:39:25  peterg
## In implicit approach, set derivatives to zero (when switch is off)
## before update. This seems to stop numerical leakage though non-return
## switches.











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#! /bin/sh

     ###################################### 
     ##### Model Transformation Tools #####
    ######################################

###############################################################
## Version control history
###############################################################
## $Id$
## $Log$
## Revision 1.21  1999/04/02 06:29:25  peterg
## New implicit method - solves numerical prob with ISW
##
## Revision 1.20  1999/04/02 02:13:58  peterg
## Back to RCS
##
## Revision 1.19  1999/03/30 21:39:25  peterg
## In implicit approach, set derivatives to zero (when switch is off)
## before update. This seems to stop numerical leakage though non-return
## switches.
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#  MTTx = 0;			# Dummy value
#endif;

[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
[MTTu] = $1_input(MTTt,MTTx,MTTy);	# Evaluate initial input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them

[mttAA]  = zero_matrix($Nx);	# Zero the A matrix
[mttAAx] = zero_vector($Nx);	# Zero the AAx vector

if $Nx>0
  [MTTx] = $1_switch(MTTx);       # Switches
endif;

if mttmethod==1			# Euler
  MTTddt = mttdt/mttstepfactor; # The small sample interval
endif;


for MTTit = 1:MTTilast		#Integration loop

  if $Nx>0			# Dont if no states
    if mttmethod==1		# Euler
      for MTTjt = 1:mttstepfactor
	[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative

	[MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx); # Euler update
	[MTTx] = $1_switch(MTTx);	# Switches
	MTTt = MTTt + MTTddt;
      endfor;
    endif;
    if mttmethod==2		# Implicit 
      [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
      [mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt);	# (I-Adt) and (I-Adt)x
      [MTTopen] = $1_switchopen(MTTx);        # Open switches







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#  MTTx = 0;			# Dummy value
#endif;

[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
[MTTu] = $1_input(MTTt,MTTx,MTTy);	# Evaluate initial input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them

#[mttAA]  = zero_matrix($Nx);	# Zero the A matrix
#[mttAAx] = zero_vector($Nx);	# Zero the AAx vector

#if $Nx>0
#  [MTTx] = $1_switch(MTTx);       # Switches
#endif;

if mttmethod==1			# Euler
  MTTddt = mttdt/mttstepfactor; # The small sample interval
endif;


for MTTit = 1:MTTilast		#Integration loop

  if $Nx>0			# Dont if no states
    if mttmethod==1		# Euler
      for MTTjt = 1:mttstepfactor
	[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
        [MTTopen] = $1_switchopen(MTTx);        # Open switches
	[MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx,MTTopen); # Euler update

	MTTt = MTTt + MTTddt;
      endfor;
    endif;
    if mttmethod==2		# Implicit 
      [MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
      [mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt);	# (I-Adt) and (I-Adt)x
      [MTTopen] = $1_switchopen(MTTx);        # Open switches

MTT: Model Transformation Tools
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