mpcInteriorPointOptions

Create default option set for mpcInteriorPointSolver

Since R2020a

Syntax

options = mpcInteriorPointOptions

options = mpcInteriorPointOptions(type)

Description

options = mpcInteriorPointOptions creates a structure of default options for mpcInteriorPointSolver, which solves a quadratic programming (QP) problem using an interior-point algorithm.

options = mpcInteriorPointOptions(type) creates a default option set using the specified input data type. All real options are specified using this data type.

Examples

Create Default Option Set for Interior-Point QP Solver

Create a default option set.

opt = mpcInteriorPointOptions;

Create and Modify Default Interior-Point QP Solver Option Set

Create a default option set.

opt = mpcInteriorPointOptions;

Specify the maximum number of iterations allowed during computation.

opt.MaxIterations = 100;

Specify a constraint tolerance for verifying that the optimal solution satisfies the inequality constraints.

opt.ConstraintTolerance = 1.0e-4;

Create Interior-Point Option Set Specifying Input Argument Type

Create a default option set, specifying the input argument type.

opt = mpcInteriorPointOptions('single');

Input Arguments

type — Solver input argument data type

'double' (default) | 'single'

Solver input argument data type, specified as either 'double' or 'single'. This data type is used for both simulation and code generation. All real options in the option set are specified using this data type, and all real input arguments to mpcInteriorPointSolver must match this type.

Output Arguments

options — Option set for mpcInteriorPointSolver

structure

Option set for mpcInteriorPointSolver, returned as a structure with the following fields.

Field	Description	Default
DataType	Input argument data type, specified as either 'double' or 'single'. This data type is used for both simulation and code generation, and all real input arguments to the solver function must match this type.	'double'
MaxIterations	Maximum number of iterations allowed when computing the QP solution, specified as a positive integer.	50
ConstraintTolerance	Tolerance used to verify that equality and inequality constraints are satisfied by the optimal solution, specified as a positive scalar. A larger ConstraintTolerance value allows for larger constraint violations.	1e-6
OptimalityTolerance	Termination tolerance for first-order optimality (KKT dual residual), specified as a positive scalar. Increasing this value relaxes the condition for the optimality check.	1e-6
ComplementarityTolerance	Termination tolerance for first-order optimality (KKT average complementarity residual), specified as a positive scalar. Increasing this value improves robustness, while decreasing this value increases accuracy.	1e-8
StepTolerance	Termination tolerance for decision variables, specified as a positive scalar.	1e-8
IntegrityChecks	Indicator of whether integrity checks are performed on the solver function input data, specified as a logical value. If IntegrityChecks is true, then integrity checks are performed and diagnostic messages are displayed. Use false for code generation only.	true

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• You can use mpcInteriorPointSolver as a general-purpose QP solver that supports code generation. To specify solver options, use mpcInteriorPointOptions. Create the function myCode, which uses mpcInteriorPointSolver and mpcInteriorPointOptions.

  function [out1,out2] = myCode(in1,in2)
  %#codegen
  ...
  options = mpcInteriorPointOptions;
  [x,exitflag] = mpcInteriorPointSolver(H,f,A,b,Aeq,Beq,x0,options);
  ...

  Generate C code with MATLAB^® Coder™.

  func = 'myCode';
  cfg = coder.config('mex'); % or 'lib', 'dll'
  codegen('-config',cfg,func,'-o',func);

• For code generation, use the same precision for all real inputs, including options. Configure the precision as 'double' or 'single' using mpcInteriorPointOptions.

Version History

Introduced in R2020a