Slack Variable Tutorial
Main.SlackVariables History
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or with the slack variable
to:
or with the slack variable (''s'')
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Slack variables are defined to transform
to:
Slack variables are defined to transform an inequality expression into an equality expression with the added slack variable. The slack variable is defined by setting a lower bound of zero (''≥0'').
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{$2x + y + s = 4$}
to:
{$2x + y - 4 \ge 0$}
or with the slack variable
{$s = 2x + y - 4$}
or with the slack variable
{$s = 2x + y - 4$}
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Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (≥0).
to:
Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (''≥0'').
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slack > 0
to:
slack ≥ 0
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Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (>0).
to:
Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (≥0).
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Slack variables are additional variables used in optimization that convert an inequality constraint into an equality constraint, allowing the problem to be solved with standard methods, such as [[Main/InteriorPointMethod|Interior Point Methods]]. Slack variables are typically denoted by the letter ''s'' and the value is always positive. Slack variables convert a constraint of the form "greater than or equal to" into an equation. For example, if the constraint is ''2x + y ≥ 4'', then the constraint can be rewritten as ''2x + y + s = 4'', where ''s'' is the slack variable.
to:
Slack variables are additional variables used in optimization that convert an inequality constraint into an equality constraint, allowing the problem to be solved with standard methods, such as [[Main/InteriorPointMethod|Interior Point Methods]]. Slack variables are typically denoted by the letter ''s'' and the value is always positive. Slack variables convert a constraint of the form "greater than or equal to" into an equation. For example, if the constraint is
{$2x + y \ge 4$}
then the constraint can be rewritten as
{$2x + y + s = 4$}
where ''s'' is the slack variable.
{$2x + y \ge 4$}
then the constraint can be rewritten as
{$2x + y + s = 4$}
where ''s'' is the slack variable.
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Slack variables are additional variables used in optimization that convert an inequality constraint into an equality constraint, allowing the problem to be solved with standard methods, such as [[Main/InteriorPointMethod|Interior Point Methods]]. Slack variables are typically denoted by the letter ''s'' and the value is always positive. Slack variables convert a constraint of the form "greater than or equal to" into an equation. For example, if the constraint is ''2x + y ≥ 4'', then the constraint can be rewritten as ''2x + y + s = 4'', where ''s'' is the slack variable.
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'''Gekko Solution'''
to:
'''Gekko (Python) Solution'''
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In [[https://gekko.readthedocs.io/en/latest/|Gekko Optimization Suite]] and the [[https://apmonitor.com/wiki/|APMonitor Modeling Language]], inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.
to:
In [[https://gekko.readthedocs.io/en/latest/|Gekko Optimization Suite]] and the [[https://apmonitor.com/wiki/|APMonitor Modeling Language]], inequality constraints are automatically translated into equality constraints with slack variables. In APMonitor, slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints are automatically converted to equality constraints with a slack variable.
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!!! Inequality Constraints in APM
In APMonitor Modeling Language, inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.
In APMonitor Modeling
to:
!!! Inequality Constraints
In [[https://gekko.readthedocs.io/en/latest/|Gekko Optimization Suite]] and the [[https://apmonitor.com/wiki/|APMonitor Modeling Language]], inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.
In [[https://gekko.readthedocs.io/en/latest/|Gekko Optimization Suite]] and the [[https://apmonitor.com/wiki/|APMonitor Modeling Language]], inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.
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{$\begin{align}\min \quad & cost_{total}\\\mathrm{subject to} \quad & supply<b\\& cost_{total}=(supply-2)^2\end{align}$}
to:
{$\begin{align}\min \quad & cost_{total}\\\mathrm{subject\;to} \quad & supply<b\\& cost_{total}=(supply-2)^2\end{align}$}
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{$\begin{align}\min & cost_{total}\\subject to & supply<b\\& cost_{total}=(supply-2)^2\end{align}$}
to:
{$\begin{align}\min \quad & cost_{total}\\\mathrm{subject to} \quad & supply<b\\& cost_{total}=(supply-2)^2\end{align}$}
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to:
{$\begin{align}\min & cost_{total}\\subject to & supply<b\\& cost_{total}=(supply-2)^2\end{align}$}
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(:source lang=python:)
# Solve slack variable problem
# Minimize total_cost
# Subject to supply < b
from gekko import GEKKO
b = 5
m = GEKKO(remote=False)
supply = m.Var()
total_cost = m.Var()
m.Equation(supply<b)
m.Equation(total_cost==(supply-2)**2)
m.Minimize(total_cost)
m.solve()
print(supply.value[0])
print(total_cost.value[0])
(:sourceend:)
# Solve slack variable problem
# Minimize total_cost
# Subject to supply < b
from gekko import GEKKO
b = 5
m = GEKKO(remote=False)
supply = m.Var()
total_cost = m.Var()
m.Equation(supply<b)
m.Equation(total_cost==(supply-2)**2)
m.Minimize(total_cost)
m.solve()
print(supply.value[0])
print(total_cost.value[0])
(:sourceend:)
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Attach:table50.jpg [[https://apmonitor.com/online/view_pass.php?f=slack.apm | Click to Solve Slack Variable Optimization Problem Online]]
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(:title Slack Variable Tutorial:)
(:keywords slack variables, inequality, slacks, lower bound, transform:)
(:description Slack variables are used to transform an inequality expression into an equality expression:)
!! Slack Variables
Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (>0).
(:table border=1 width=100% align=left bgcolor=#FFFFFF cellspacing=0:)
(:cellnr:)
Inequality Constraint Form
(:cell:)
x > b
(:cellnr:)
Equality Constraint Form with Slack Variable
(:cell:)
x = b + slack (:html:)<br>(:htmlend:)
slack > 0
(:tableend:)
----
(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/jh6BK0BqqIs?rel=0" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
----
!!! Example Problem
Attach:table50.jpg [[https://apmonitor.com/online/view_pass.php?f=slack.apm | Click to Solve a Slack Variable Optimization Problem]]
Attach:slack_problem.png
Attach:slack_results.png
----
!!! Inequality Constraints in APM
In APMonitor Modeling Language, inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.
(:keywords slack variables, inequality, slacks, lower bound, transform:)
(:description Slack variables are used to transform an inequality expression into an equality expression:)
!! Slack Variables
Slack variables are defined to transform an inequality expression into an equality expression with an added slack variable. The slack variable is defined by setting a lower bound of zero (>0).
(:table border=1 width=100% align=left bgcolor=#FFFFFF cellspacing=0:)
(:cellnr:)
Inequality Constraint Form
(:cell:)
x > b
(:cellnr:)
Equality Constraint Form with Slack Variable
(:cell:)
x = b + slack (:html:)<br>(:htmlend:)
slack > 0
(:tableend:)
----
(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/jh6BK0BqqIs?rel=0" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
----
!!! Example Problem
Attach:table50.jpg [[https://apmonitor.com/online/view_pass.php?f=slack.apm | Click to Solve a Slack Variable Optimization Problem]]
Attach:slack_problem.png
Attach:slack_results.png
----
!!! Inequality Constraints in APM
In APMonitor Modeling Language, inequality constraints are automatically translated into equality constraints with slack variables. Slack variables can also be defined by starting a variable name with ''slk''. When the model is parsed at run-time, any variable beginning with ''slk'' is automatically assigned a lower value of zero. Alternatively, inequality constraints will be automatically converted to equality constraints with a slack variable.