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.