R Optimization Infrastructure
Canonicalize the Linear Term
Canonicalize the Quadraric Term
Bounds - Accessor and Mutator Functions
Conic Constraints
Cone Constructors
Constraints - Accessor and Mutator Functions
Compare two Objects
Function Constraints
General (Nonlinear) Objective Function
Extract Gradient information
Check for default bounds
Extract Jacobian Information
Linear Constraints
Linear Objective Function
Maximum - Accessor and Mutator Functions
Nonlinear programming with nonlinear constraints.
Class: "NO_constraint"
Objective - Accessor and Mutator Functions
Optimization Problem Constructor
Optimization Problem Signature
Quadratic Constraints
Quadratic Objective Function
Combine Constraints
Obtain Applicable Solvers
Available Solvers
bound
constraint
ROI Options
Add Status Code to the Status Database
Build Functional Equality Constraints
Build Functional Inequality Constraints
Canonicalize Solution
Get Solver Name
Make Signatures
Register Reader / Writer Method
Register Reformulation Method
Register Solver Controls
Register Solver Method
Extract solution from the solver.
Read Optimization Problems
Reformulate a Optimization Problem
List Registered Reader
Registered Reformulations
Registered Solver Controls
Solver Tools
Write Optimization Problems
Require Solver
Solve an Optimization Problem
Obtain Solver Signature
Write Optimization Problems
Replicate "=="
, ">="
and "<="
Signs
Extract Solution
Types - Accessor and Mutator Functions
Objective Variable Bounds
Half-Vectorization
The R Optimization Infrastructure ('ROI') <doi:10.18637/jss.v094.i15> is a sophisticated framework for handling optimization problems in R. Additional information can be found on the 'ROI' homepage <https://roi.r-forge.r-project.org/>.