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If not, see ## . ## ######################################################################## CLASS = "LSODE" INCLUDE = "ODE.h" OPTION NAME = "absolute tolerance" DOC_ITEM Absolute tolerance. May be either vector or scalar. If a vector, it must match the dimension of the state vector. END_DOC_ITEM TYPE = "Array" SET_ARG_TYPE = "const $TYPE&" INIT_BODY $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = ::sqrt (std::numeric_limits::epsilon ()); END_INIT_BODY SET_CODE void set_$OPT (double val) { $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = (val > 0.0) ? val : ::sqrt (std::numeric_limits::epsilon ()); m_reset = true; } void set_$OPT (const $TYPE& val) { $OPTVAR = val; m_reset = true; } END_SET_CODE END_OPTION OPTION NAME = "relative tolerance" DOC_ITEM Relative tolerance parameter. Unlike the absolute tolerance, this parameter may only be a scalar. The local error test applied at each integration step is @example @group abs (local error in x(i)) <= ... rtol * abs (y(i)) + atol(i) @end group @end example END_DOC_ITEM TYPE = "double" INIT_VALUE = "::sqrt (std::numeric_limits::epsilon ())" SET_EXPR = "(val > 0.0) ? val : ::sqrt (std::numeric_limits::epsilon ())" END_OPTION OPTION NAME = "integration method" DOC_ITEM A string specifying the method of integration to use to solve the ODE system. Valid values are @table @asis @item @qcode{"adams"} @itemx @qcode{"non-stiff"} No Jacobian used (even if it is available). @item @qcode{"bdf"} @itemx @qcode{"stiff"} Use stiff backward differentiation formula (BDF) method. If a function to compute the Jacobian is not supplied, @code{lsode} will compute a finite difference approximation of the Jacobian matrix. @end table END_DOC_ITEM TYPE = "std::string" SET_ARG_TYPE = "const $TYPE&" INIT_VALUE = ""stiff"" SET_BODY if (val == "stiff" || val == "bdf") $OPTVAR = "stiff"; else if (val == "non-stiff" || val == "adams") $OPTVAR = "non-stiff"; else (*current_liboctave_error_handler) ("lsode_options: method must be \"stiff\", \"bdf\", \"non-stiff\", or \"adams\""); END_SET_BODY END_OPTION OPTION NAME = "initial step size" DOC_ITEM The step size to be attempted on the first step (default is determined automatically). END_DOC_ITEM TYPE = "double" INIT_VALUE = "-1.0" SET_EXPR = "(val >= 0.0) ? val : -1.0" END_OPTION OPTION NAME = "maximum order" DOC_ITEM Restrict the maximum order of the solution method. If using the Adams method, this option must be between 1 and 12. Otherwise, it must be between 1 and 5, inclusive. END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "-1" SET_EXPR = "val" END_OPTION OPTION NAME = "maximum step size" DOC_ITEM Setting the maximum stepsize will avoid passing over very large regions (default is not specified). END_DOC_ITEM TYPE = "double" INIT_VALUE = "-1.0" SET_EXPR = "(val >= 0.0) ? val : -1.0" END_OPTION OPTION NAME = "minimum step size" DOC_ITEM The minimum absolute step size allowed (default is 0). END_DOC_ITEM TYPE = "double" INIT_VALUE = "0.0" SET_EXPR = "(val >= 0.0) ? val : 0.0" END_OPTION OPTION NAME = "step limit" DOC_ITEM Maximum number of steps allowed (default is 100000). END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "100000" SET_EXPR = "val" END_OPTION OPTION NAME = "jacobian type" DOC_ITEM A string specifying the type of Jacobian used with the stiff backward differentiation formula (BDF) integration method. Valid values are @table @asis @item @qcode{"full"} The default. All partial derivatives are approximated or used from the user-supplied Jacobian function. @item @qcode{"banded"} Only the diagonal and the number of lower and upper subdiagonals specified by the options @qcode{"lower jacobian subdiagonals"} and @qcode{"upper jacobian subdiagonals"}, respectively, are approximated or used from the user-supplied Jacobian function. A user-supplied Jacobian function may set all other partial derivatives to arbitrary values. @item @qcode{"diagonal"} If a Jacobian function is supplied by the user, this setting has no effect. A Jacobian approximated by @code{lsode} is restricted to the diagonal, where each partial derivative is computed by applying a finite change to all elements of the state together; if the real Jacobian is indeed always diagonal, this has the same effect as applying the finite change only to the respective element of the state, but is more efficient. @end table END_DOC_ITEM TYPE = "std::string" SET_ARG_TYPE = "const $TYPE&" INIT_VALUE = ""full"" SET_BODY if (val == "full" || val == "banded" || val == "diagonal") $OPTVAR = val; else (*current_liboctave_error_handler) ("lsode_options: jacobian type must be \"full\", \"banded\", or \"diagonal\""); END_SET_BODY END_OPTION OPTION NAME = "lower jacobian subdiagonals" DOC_ITEM Number of lower subdiagonals used if option @qcode{"jacobian type"} is set to @qcode{"banded"}. The default is zero. END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "upper jacobian subdiagonals" DOC_ITEM Number of upper subdiagonals used if option @qcode{"jacobian type"} is set to @qcode{"banded"}. The default is zero. END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION