optBathtub/continuous/ampl/log/bath_log.run

# CLEAR MEMORY
reset ;


# set search path
#option ampl_include '/home/moez/Downloads/amplide.linux64/amplide/';

# LOAD MODEL
model 'bath_log.mod' ;
#model bath.mod ;

# LOAD DATA
data  'bath_log-4.dat' ; 
#data  bath.dat ;

# Approximation grid
 
let q  := q0 + 1;
param dL := L / q0  ;
param nL := ( Mbar - M0 ) div  L  ;
param q1 := 1+( ( Mbar - nL * L - M0 ) div dL );
# param n  := q1 * ( nL + 1 ) + (q0-q1+2)*nL ;
let n := q * nL + q1 + 1 ;
param M1 := Mbar - nL * L ; 

for { i in 1..q1  } { 
  for { j in 0 .. nL+1 } {
     let B[i+j*q] := M0 + (i-1) * dL + j * L;
     }
  }

for {j in 0 .. nL+1 } {  
   let B[q1+1+j*q] := M1 + j * L ;
   }


for { i in q1+2..q } {
  for { j in 0 .. nL } {
     let B[i + j * q] := B[q1] + dL * (i - (q1+1)) + j * L;
     }
  }


# Print initial solution
display t[n+q] , util_log;


# Provide solver (change depending on machine)
option solver "/home/moez/ulco/ampl/conopt" ;
#option solver ipopt ;
#option solver "/home/moez/ulco/ampl/minos" ;

objective last_arrival_time;
solve ;

display t[n+q] , util_log;

option conopt_options 'outlev=3';
option display_width 100 ;

# The logarithlic utility
objective util_log ; 

# Solve
solve ;

# Compute arrival time for each mass
var tt {i in 1..n} = t[i+q] ;

# Print solution
display t[n+q] , util_log, util_log / P;
display  B, e, k, v, ue_log, ux_log, t, tt ; 

# Export solution to csv file
display  B, e, k, v, ue_log, ux_log, t,tt > 'sol4.csv' ;

end;