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Matlab
======
Before generating code for a parametric problem, the problem should be first
specified in the setup phase. See :ref:`matlab_setup` for more details.
Codegen
-------
The code is generated by running
.. code:: matlab
m.codegen(dir_name, varargin)
The argument :code:`dir_name` is the name of a directory where the generated
code is stored.
The second argument :code:`varargin` specifies additional codegen options
shown in the following table
+-----------------------+---------------------------------------------------+--------------------------------+
| Option | Description | Allowed values |
+=======================+===================================================+================================+
| :code:`project_type` | Build environment | | :code:`''` (default) |
| | | | :code:`'Makefile'` |
| | | | :code:`'MinGW Makefiles'` |
| | | | :code:`'Unix Makefiles'` |
| | | | :code:`'CodeBlocks'` |
| | | | :code:`'Xcode'` |
+-----------------------+---------------------------------------------------+--------------------------------+
| :code:`parameters` | Problem parameters | | :code:`'vectors'` (default) |
| | | | :code:`'matrices'` |
+-----------------------+---------------------------------------------------+--------------------------------+
| :code:`mexname` | Name of the compiled mex interface | | :code:`'emosqp'` (default) |
| | | | Nonempty string |
+-----------------------+---------------------------------------------------+--------------------------------+
| :code:`force_rewrite` | Rewrite existing directory | | :code:`false` (default) |
| | | | :code:`true` |
+-----------------------+---------------------------------------------------+--------------------------------+
| :code:`FLOAT` | Use :code:`float` type instead of :code:`double` | | :code:`false` (default) |
| | | | :code:`true` |
+-----------------------+---------------------------------------------------+--------------------------------+
| :code:`LONG` | Use :code:`long long` type instead of :code:`int` | | :code:`true` (default) |
| | | | :code:`false` |
+-----------------------+---------------------------------------------------+--------------------------------+
You can pass the options as field-value pairs, e.g.,
.. code:: matlab
m.codegen('code', 'parameters', 'matrices', 'mexname', 'emosqp');
If the :code:`project_type` argument is not passed or is set to :code:`''`,
then no build files are generated.
Mex interface
-------------
Once the code is generated the following functions are provided through its mex interface. Each function is called as
.. code:: matlab
emosqp('function_name');
where :code:`emosqp` is the name of the mex interface specified in the previous section
.. function:: emosqp('solve')
:noindex:
Solve the problem.
:returns: multiple variables [x, y, status_val, iter, run_time]
- **x** (*ndarray*) - Primal solution
- **y** (*ndarray*) - Dual solution
- **status_val** (*int*) - Status value as in :ref:`status_values`
- **iter** (*int*) - Number of iterations
- **run_time** (*double*) - Run time
.. function:: emosqp('update_lin_cost', q_new)
:noindex:
Update linear cost.
:param ndarray q_new: New linear cost vector
.. function:: emosqp('update_lower_bound', l_new)
:noindex:
Update lower bound in the constraints.
:param ndarray l_new: New lower bound vector
.. function:: emosqp('update_upper_bound', u_new)
:noindex:
Update upper bound in the constraints.
:param ndarray u_new: New upper bound vector
.. function:: emosqp('update_bounds', l_new, u_new)
:noindex:
Update lower and upper bounds in the constraints.
:param ndarray l_new: New lower bound vector
:param ndarray u_new: New upper bound vector
If the code is generated with the option :code:`parameters` set to
:code:`'matrices'`, then the following functions are also provided
.. function:: emosqp('update_P', Px, Px_idx, Px_n)
:noindex:
Update nonzero entries of the quadratic cost matrix (only upper triangular) without changing sparsity structure.
:param ndarray Px: Values of entries to be updated
:param ndarray Px_idx: Indices of entries to be updated. Pass :code:`[]` if
all the indices are to be updated
:param int Px_n: Number of entries to be updated. Used only if Px_idx is not
:code:`[]`.
.. function:: emosqp('update_A', Ax, Ax_idx, Ax_n)
:noindex:
Update nonzero entries of the constraint matrix.
:param ndarray Ax: Values of entries to be updated
:param ndarray Ax_idx: Indices of entries to be updated. Pass :code:`[]` if
all the indices are to be updated
:param int Ax_n: Number of entries to be updated. Used only if Ax_idx is not
:code:`[]`.
.. function:: emosqp('update_P_A', Px, Px_idx, Px_n, Ax, Ax_idx, Ax_n)
:noindex:
Update nonzero entries of the quadratic cost and constraint matrices. It considers only the upper-triangular part of P.
:param ndarray Px: Values of entries to be updated
:param ndarray Px_idx: Indices of entries to be updated. Pass :code:`[]` if
all the indices are to be updated
:param int Px_n: Number of entries to be updated. Used only if Px_idx is not
:code:`[]`.
:param ndarray Ax: Values of entries to be updated
:param ndarray Ax_idx: Indices of entries to be updated. Pass :code:`[]` if
all the indices are to be updated
:param int Ax_n: Number of entries to be updated. Used only if Ax_idx is not
:code:`[]`.
You can update all the nonzero entries in matrix :math:`A` by running
.. code:: matlab
emosqp('update_A', Ax_new, [], 0);
See C :ref:`C_sublevel_API` for more details on the input arguments.