class
final class
class
A random variable with a beta distribution.
final class
A binary matrix variable: an m by n matrix of binary variables.
class
A binary N-dimensional variable: an array of binary variables with the shape dims.
class
The COptQuestBinaryVariable class defines a binary decision variable which is a
discrete variable that can have a value of 0 or 1.
final class
A binary vector variable: k binary variables.
class
A B-spline correction matrix variable.
class
A B-spline correction vector variable.
class
A B-spline matrix variable.
class
A B-spline vector variable.
final class
A budgeted selection variable.
class
A random variable with a Cauchy distribution.
class
A random variable with a chi-squared distribution: the sum of the squares of
df independent standard normal values.
class
class
The COptQuestContinuousVariable class defines a decision variable that can have
any value between the lower bound and upper bound.
class
class
class
A discrete matrix variable: an m by n matrix of discrete variables.
class
A discrete N-dimensional variable: an array of discrete variables with the shape
dims.
class
The CoptQuestDiscreteVariable class defines a decision variable whose values
begin at the lower bound and increment by a step size up to the upper bound
class
A discrete vector variable: n discrete variables.
class
A decision variable that has an enumerated set of values such as 5,7 and
25.
class
A random variable with an exponential distribution: the time between
events that occur at random at a constant average rate.
class
A Fourier correction matrix variable.
class
A Fourier correction vector variable.
class
A Fourier matrix variable.
class
A Fourier vector variable.
class
A random variable with a gamma distribution.
class
A decision variable whose values are lists of latitude and longitude.
class
An incremental low-rank correction matrix variable.
class
An incremental time-series correction vector variable.
class
An integer matrix variable: an m by n matrix of integer variables.
class
An integer N-dimensional variable: an array of integer variables with the shape
dims.
class
The COptQuestIntegerVariable class defines a decision variable whose values
begin at the lower bound and increment by a 1 to the upper bound.
class
An integer vector variable: n integer variables.
final class
An item selection variable.
class
A random variable with a log-normal distribution: a value whose logarithm
has a normal distribution.
class
A low-rank correction matrix variable.
class
A low-rank matrix variable.
class
Base class for the manifold variables.
class
A matrix variable: an m by n matrix of continuous variables.
class
class
class
A multi-stage sequence variable.
class
An N-dimensional variable: an array of continuous variables with the shape dims.
class
A random variable with a normal distribution.
class
An output N-dimensional variable: an array of output variables with the shape
dims.
class
A random variable with a Pareto (Type I) distribution.
final class
class
class
class
A random variable with a Poisson distribution: the number of events in a
fixed interval, when the events occur at random at an average rate of lambda for each
interval.
class
A policy sequence variable.
class
A random variable whose value is from rmin to rmax.
class
class
class
A spherical angle variable.
class
A random variable whose value is an elevation angle in degrees,
drawn uniformly by surface area from the band of the unit sphere between the elevations
min and max.
class
A spherical region variable.
class
A spline correction matrix variable.
class
A spline correction vector variable.
class
A spline matrix variable.
class
A spline vector variable.
class
Use COptQuestStringVariable to add a variable that is defined by an expression.
class
A random variable with a Student's t distribution.
class
A time-series correction vector variable.
class
A time-series vector variable.
class
A topological sequence variable.
class
class
A decision variable whose values are lists of tuples.
class
A random variable with a uniform distribution on [min, max].
class
An output matrix variable: an m by n matrix of output variables.
class
With the COptQuestUserControlledVariable class, you define a variable and
set the value of the variable yourself.
class
An output vector variable: n output variables.
class
A vector variable: n continuous variables.
class
A random variable with a Weibull distribution, in its minimum extreme value
form.
Returns an empty list, because an angle variable has no ordinary input variables.
Returns an empty list, because an assignment variable has no ordinary input variables.
Returns an empty list, because a B-spline correction matrix variable has no ordinary input
variables.
Returns an empty list, because a B-spline correction vector variable has no ordinary input
variables.
Returns an empty list, because a B-spline matrix variable has no ordinary input variables.
Returns an empty list, because a B-spline vector variable has no ordinary input variables.
Returns an empty list, because a choice variable has no ordinary input variables.
Returns an empty list, because a DAG variable has no ordinary input variables.
Returns an empty list, because a Fourier correction matrix variable has no ordinary input
variables.
Returns an empty list, because a Fourier correction vector variable has no ordinary input
variables.
Returns an empty list, because a Fourier matrix variable has no ordinary input variables.
Returns an empty list, because a Fourier vector variable has no ordinary input variables.
Returns an empty list, because an incremental low-rank correction matrix variable has no
ordinary input variables.
Returns an empty list, because an incremental time-series correction vector variable has no
ordinary input variables.
Returns an empty list, because a low-rank correction matrix variable has no ordinary input
variables.
Returns an empty list, because a low-rank matrix variable has no ordinary input variables.
Returns the ordinary decision variables of this manifold variable.
Returns an empty list, because a mixture variable has no ordinary input variables.
Returns an empty list, because a multi-choice variable has no ordinary input variables.
Returns an empty list, because a multi-stage sequence variable has no ordinary input variables.
Returns an empty list, because an output N-dimensional variable has no ordinary input
variables.
Returns an empty list, because a partition variable has no ordinary input variables.
Returns an empty list, because a path variable has no ordinary input variables.
Returns an empty list, because a policy sequence variable has no ordinary input variables.
Returns an empty list, because a region variable has no ordinary input variables.
Returns an empty list, because a sequence variable has no ordinary input variables.
Returns an empty list, because a spherical angle variable has no ordinary input variables.
Returns an empty list, because a spherical region variable has no ordinary input
variables.
Returns an empty list, because a spline correction matrix variable has no ordinary input
variables.
Returns an empty list, because a spline correction vector variable has no ordinary input
variables.
Returns an empty list, because a spline matrix variable has no ordinary input variables.
Returns an empty list, because a spline vector variable has no ordinary input variables.
Returns an empty list, because a time-series correction vector variable has no ordinary input
variables.
Returns an empty list, because a time-series vector variable has no ordinary input variables.
Returns an empty list, because a topological sequence variable has no ordinary input variables.
Returns an empty list, because a tree variable has no ordinary input variables.
Returns an empty list, because an output matrix variable has no ordinary input variables.
Returns an empty list, because an output vector variable has no ordinary input variables.
Returns an array of all variables that have been added to the
optimization using the AddVariable()method.
Returns an array of all variables that have been added to the
optimization using the AddVariable()method.
void
Adds a variable and its coefficient to the linear expression.
void
Makes the decision variable available to the parsing methods.
void
Adds one variable to the group as one item.
void
Adds a variable to the group.
void
Adds a variable and its coefficient to the linear objective which has the
form coeff1 * var1 + coeff2 + var2 + coeffn * varN.
void
Adds the variable defined by the input parameter to the optimization.
void
Add a dependent variable that is set to the lower bound when the selection variable is off
void
Adds the variable defined by the input parameter to the optimization.
void
Adds one item that several variables describe together, for example the x and the y
position of one machine.
double
Calculate a sensitivity score for the input variable.
double
Using the solution set values of the specified variable, calculate the specified statistic.
void
Changes the coefficient of the variable to the value specified by the
input parameter.
void
Change the coefficient for this variable.
double
Returns the value of the decision variable for this solution
boolean
Returns whether or not the solution is valid with respect to a single variable.
void
Modifies the constraint by removing the variable.
void
Sets the value of the decision variable for this solution.
COptQuestChoiceVariable) instead.