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If not, see ## . ## ######################################################################## CLASS = "DASPK" INCLUDE = "DAE.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, and the relative tolerance must also be a vector of the same length. 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)); $OPTVAR(0) = (val > 0.0) ? val : ::sqrt (std::numeric_limits::epsilon ()); reset = true; } void set_$OPT (const $TYPE& val) { $OPTVAR = val; reset = true; } END_SET_CODE END_OPTION OPTION NAME = "relative tolerance" DOC_ITEM Relative tolerance. May be either vector or scalar. If a vector, it must match the dimension of the state vector, and the absolute tolerance must also be a vector of the same length. The local error test applied at each integration step is @example @group abs (local error in x(i)) <= rtol(i) * abs (Y(i)) + atol(i) @end group @end example 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)); $OPTVAR(0) = (val > 0.0) ? val : ::sqrt (std::numeric_limits::epsilon ()); reset = true; } void set_$OPT (const $TYPE& val) { $OPTVAR = val; reset = true; } END_SET_CODE END_OPTION OPTION NAME = "compute consistent initial condition" DOC_ITEM Denoting the differential variables in the state vector by @samp{Y_d} and the algebraic variables by @samp{Y_a}, @code{ddaspk} can solve one of two initialization problems: @enumerate @item Given Y_d, calculate Y_a and Y'_d @item Given Y', calculate Y. @end enumerate In either case, initial values for the given components are input, and initial guesses for the unknown components must also be provided as input. Set this option to 1 to solve the first problem, or 2 to solve the second (the default is 0, so you must provide a set of initial conditions that are consistent). If this option is set to a nonzero value, you must also set the @qcode{"algebraic variables"} option to declare which variables in the problem are algebraic. END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "use initial condition heuristics" DOC_ITEM Set to a nonzero value to use the initial condition heuristics options described below. END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "initial condition heuristics" DOC_ITEM A vector of the following parameters that can be used to control the initial condition calculation. @table @code @item MXNIT Maximum number of Newton iterations (default is 5). @item MXNJ Maximum number of Jacobian evaluations (default is 6). @item MXNH Maximum number of values of the artificial stepsize parameter to be tried if the @qcode{"compute consistent initial condition"} option has been set to 1 (default is 5). Note that the maximum total number of Newton iterations allowed is @code{MXNIT*MXNJ*MXNH} if the @qcode{"compute consistent initial condition"} option has been set to 1 and @code{MXNIT*MXNJ} if it is set to 2. @item LSOFF Set to a nonzero value to disable the linesearch algorithm (default is 0). @item STPTOL Minimum scaled step in linesearch algorithm (default is eps^(2/3)). @item EPINIT Swing factor in the Newton iteration convergence test. The test is applied to the residual vector, premultiplied by the approximate Jacobian. For convergence, the weighted RMS norm of this vector (scaled by the error weights) must be less than @code{EPINIT*EPCON}, where @code{EPCON} = 0.33 is the analogous test constant used in the time steps. The default is @code{EPINIT} = 0.01. @end table END_DOC_ITEM TYPE = "Array" SET_ARG_TYPE = "const $TYPE&" INIT_BODY $OPTVAR.resize (dim_vector (6, 1)); $OPTVAR(0) = 5.0; $OPTVAR(1) = 6.0; $OPTVAR(2) = 5.0; $OPTVAR(3) = 0.0; $OPTVAR(4) = ::pow (std::numeric_limits::epsilon (), 2.0/3.0); $OPTVAR(5) = 0.01; END_INIT_BODY SET_EXPR = "val" END_OPTION OPTION NAME = "print initial condition info" DOC_ITEM Set this option to a nonzero value to display detailed information about the initial condition calculation (default is 0). END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "exclude algebraic variables from error test" DOC_ITEM Set to a nonzero value to exclude algebraic variables from the error test. You must also set the @qcode{"algebraic variables"} option to declare which variables in the problem are algebraic (default is 0). END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "algebraic variables" DOC_ITEM A vector of the same length as the state vector. A nonzero element indicates that the corresponding element of the state vector is an algebraic variable (i.e., its derivative does not appear explicitly in the equation set). This option is required by the @qcode{"compute consistent initial condition"} and @qcode{"exclude algebraic variables from error test"} options. END_DOC_ITEM TYPE = "Array" SET_ARG_TYPE = const $TYPE& INIT_BODY $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = 0; END_INIT_BODY SET_CODE void set_$OPT (int val) { $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = val; reset = true; } void set_$OPT (const $TYPE& val) { $OPTVAR = val; reset = true; } END_SET_CODE END_OPTION OPTION NAME = "enforce inequality constraints" DOC_ITEM Set to one of the following values to enforce the inequality constraints specified by the @qcode{"inequality constraint types"} option (default is 0). @enumerate @item To have constraint checking only in the initial condition calculation. @item To enforce constraint checking during the integration. @item To enforce both options 1 and 2. @end enumerate END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "0" SET_EXPR = "val" END_OPTION OPTION NAME = "inequality constraint types" DOC_ITEM A vector of the same length as the state specifying the type of inequality constraint. Each element of the vector corresponds to an element of the state and should be assigned one of the following codes @table @asis @item -2 Less than zero. @item -1 Less than or equal to zero. @item 0 Not constrained. @item 1 Greater than or equal to zero. @item 2 Greater than zero. @end table This option only has an effect if the @qcode{"enforce inequality constraints"} option is nonzero. END_DOC_ITEM TYPE = "Array" SET_ARG_TYPE = const $TYPE& INIT_BODY $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = 0; END_INIT_BODY SET_CODE void set_$OPT (octave_idx_type val) { $OPTVAR.resize (dim_vector (1, 1)); $OPTVAR(0) = val; reset = true; } void set_$OPT (const $TYPE& val) { $OPTVAR = val; reset = true; } END_SET_CODE END_OPTION OPTION NAME = "initial step size" DOC_ITEM Differential-algebraic problems may occasionally suffer from severe scaling difficulties on the first step. If you know a great deal about the scaling of your problem, you can help to alleviate this problem by specifying an initial stepsize (default is computed 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. This option must be between 1 and 5, inclusive (default is 5). END_DOC_ITEM TYPE = "octave_idx_type" INIT_VALUE = "5" 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