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<h1 align="left"><u>Sensitivity</u></h1>
<p>Sensitivity or post-optimal analysis is extra information that is provided about
the current optimal solution. <b>lp_solve</b> provides a substantial amount of
sensitivity information. Several API calls are available to retrieve the
sensitivity: <A href="get_sensitivity_obj.htm">get_sensitivity_obj,
get_ptr_sensitivity_obj, get_sensitivity_objex, get_ptr_sensitivity_objex</A>,
<A href="get_sensitivity_rhs.htm">get_sensitivity_rhs, get_ptr_sensitivity_rhs,
get_dual_solution, get_ptr_dual_solution, get_var_dualresult</A>. The
lp_solve program doesn't show the sensitivity by default. So to see the
sensitivity information, use the -S4 option. The best way to explain this is
via an example.</p>
<pre>
min: +COLONE +3 COLTWO +6.24 COLTHREE +0.1 COLFOUR;
THISROW: +78.26 COLTWO +2.9 COLFOUR >= 92.3;
THATROW: +0.24 COLONE +11.31 COLTHREE <= 14.8;
LASTROW: +12.68 COLONE +0.08 COLTHREE +0.9 COLFOUR >= 4;
COLONE >= 28.6;
COLFOUR >= 18.00;
COLFOUR <= 48.98;
</pre>
<p>The solution of this model is (with the -S4 option):</p>
<pre>
Value of objective function: 31.7828
Actual values of the variables:
COLONE 28.6
COLTWO 0
COLTHREE 0
COLFOUR 31.8276
Actual values of the constraints:
THISROW 92.3
THATROW 6.864
LASTROW 391.293
Objective function limits:
From Till FromValue
COLONE 0 1e+030 -1e+030
COLTWO 2.698621 1e+030 0.5123946
COLTHREE 0 1e+030 0.7016799
COLFOUR 0 0.1111679 -1e+030
Dual values with from - till limits:
Dual value From Till
THISROW 0.03448276 52.2 142.042
THATROW 0 -1e+030 1e+030
LASTROW 0 -1e+030 1e+030
COLONE 1 -1.943598 61.66667
COLTWO 0.3013793 -0.6355993 0.5123946
COLTHREE 6.24 -4841.16 0.7016799
COLFOUR 0 -1e+030 1e+030
</pre>
<p>
First look at 'Objective function limits' (via API obtained by <A href="get_sensitivity_obj.htm">
get_sensitivity_obj, get_ptr_sensitivity_obj, get_sensitivity_objex,
get_ptr_sensitivity_objex</A>). There is a list of all variables with for
each variable 3 values. <i>From</i>, <i>Till</i> and <i>FromValue</i>. <i>From -
Till</i> gives the limits where between the objective value may vary so
that the solution stays the same. For example, variable COLFOUR has a <i>From</i>
value of 0 and a <i>Till</i> value of 0.1111679. The coefficient in the objective function of
this variable is 0.1. This means
that as this coefficient varies between 0 and 0.1111679, the solution
doesn't change. The values for the variables and the constraints will remain
unchanged as long as the objective coefficient stays in this range. The objective function value
will vary of course and also the sensitivity information of the other
variables, but the solution will stay the same if only the objective coefficient value for this variable is changed.
When the objective coefficient of variable
COLFOUR is above 0.1111679 then the solution will change. The <i>FromValue</i> is
only meaningful if the variable has a value of 0 (rejected). This is the value
that this variable becomes when the <i>From</i> (minimization) or <i>Till</i> (maximization)
value is reached. For example, the variable COLTWO that has an amount of 0 will
become 0.5123946 if the coefficient in the objective function of COLTWO reaches 2.698621. Note that you only
get information about this variable. There is no information what the values
will be of the other variables. In a blending example where the coefficients of
the objective function are generally the prices of ingredients this
information tells you at what point a price may change to have the same
composition and the FromValue says at what value a relected ingredient will be taken when
the price lowers till the lower range value.</p>
<P>Another piece of information are the Dual values with the <i>from - till</i> limits.
This is provided for both the constraints and the variables. The information is
the same for both. For example, constraint THISROW has a dual value of
0.03448276 with a <i>From</i> value of 52.2 and a <i>Till</i> value of 142.042.
This means that the Dual value specifies how much the objective function will
vary if the constraint value is incremented by one unit. This implies that
there is only a non-zero dual value if the constraint is active. Constraint
THATROW for example is not active because the constraint is <= 14.8, but its
value is only 6.864. However constraint THISROW is >= 92.3 and its value is
also 92.3, thus active. If the constraint is changed to 93.3 (+1), then the
objective value will be the current value + change * dual value = 31.7828 + 1 *
0.03448276 = 31.81728. However this is only true for the range <i>From - Till</i>, which
means that the dual value stays only the same as long as the constraint lies
between the <i>From - Till</i> limits. The moment that you are outside of these limits,
the dual value will change. The dual value gives a very good indication how
much this restriction costs. If the dual value is very high then this constraint
is very influential on the objective function and if you are able to change
it a bit then the solution will be much better. Also the sign of the dual
value has a meaning. A positive value means that as the restriction becomes
larger, the objective value will be larger, and as it becomes more negative,
the objective value will be smaller. Also note that changes in the
restrictions, even between the limits, <b>can</b> cause the solution to change.
The from - till limits only say that the cost will remain the same, nothing
less, nothing more.
</P>
<h4 align="left"><u>Inaccurate sensitivity analysis in a model with integer variables</u></h4>
<A NAME="Inacurate_Sensitivity_Integer"></A>The sensitivity analysis doesn't
take the integer restrictions in account. This is almost impossible since it
would ask too much calculation time. In particular the <i>from - till</i> limits
on both the objective function and the dual values are trustworthy. They only
apply for the current solution without the integer restrictions. Keep this in
mind. The dual values are correct.
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