piqp_model {piqp} | R Documentation |
The PIQP Solver Model Class
Description
This class wraps around the PIQP C++ Solver and
exposes methods and fields of the C++ object. Users will never
need to directly create instances this class and should use the
more user-friendly functions piqp()
and solve_piqp()
.
Methods
Public methods
Method new()
Create a new piqp_model object
Usage
piqp_model$new( P, c, A, b, G, h, x_lb, x_ub, settings = list(), dense_backend, dims )
Arguments
P
dense or sparse matrix of class dgCMatrix or coercible into such, must be positive semidefinite
c
numeric vector
A
dense or sparse matrix of class dgCMatrix or coercible into such
b
numeric vector
G
dense or sparse matrix of class dgCMatrix or coercible into such
h
numeric vector
x_lb
a numeric vector of lower bounds
x_ub
a numeric vector of upper bounds
settings
list with optimization parameters
dense_backend
a flag indicating if the dense solver is to be used
dims
the dimensions of the problem, a named list containing
n
,p
andm
.
Returns
a piqp_model object that can be used to solve the QP
Method solve()
Solve the QP model
Usage
piqp_model$solve()
Returns
a list containing the solution
Method update()
Update the current piqp_model with new data
Usage
piqp_model$update( P = NULL, c = NULL, A = NULL, b = NULL, G = NULL, h = NULL, x_lb = NULL, x_ub = NULL )
Arguments
P
dense or sparse matrix of class dgCMatrix or coercible into such, must be positive semidefinite
c
numeric vector
A
dense or sparse matrix of class dgCMatrix or coercible into such
b
numeric vector
G
dense or sparse matrix of class dgCMatrix or coercible into such
h
numeric vector
x_lb
a numeric vector of lower bounds
x_ub
a numeric vector of upper bounds
settings
list with optimization parameters
dense_backend
a flag indicating if the dense solver is to be used
dims
the dimensions of the problem, a named list containing
n
,p
andm
.
Method get_settings()
Obtain the current settings for this model
Usage
piqp_model$get_settings()
Method get_dims()
Obtain the dimensions of this model
Usage
piqp_model$get_dims()
Method update_settings()
Update the current settings with new values for this model
Usage
piqp_model$update_settings(new_settings = list())
Arguments
new_settings
a list of named values for settings, default empty list; see
piqp_settings()
for a comprehensive list of defaults
Method clone()
The objects of this class are cloneable with this method.
Usage
piqp_model$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.