Suppress algebraic variables in the error testingįixed-step implicit Runge-Kutta integrator ODE/DAE integrator based on collocation schemesįixed-step explicit Runge-Kutta integrator for ODEs Currently implements RK4.
IDAS scaling on cj for the user-defined linear solver moduleįirst requested time as a fraction of the time interval Use IDACalcIC to get consistent initial conditions for backwards system. Use IDACalcIC to get consistent initial conditions. Interface to IDAS from the Sundials suite. Stop the integrator at the end of the interval Number of steps between two consecutive checkpoints Sensitivity method: SIMULTANEOUS|staggered Second order correction in the augmented system Jacobian Should the quadratures affect the step size control Linear solver scheme in the Newton method: DIRECT|gmres|bcgstab|tfqmrĬoefficient in the nonlinear convergence test Maximum order for the (variable-order) multistep method Options to be passed to the linear solver Type of interpolation for the adjoint sensitivitiesĪ custom linear solver creator function Include the forward sensitivities in all error controls
Xf and qf integrator function series#
Then call integrate(t_i) and getOuput for a series of times t_i.ĭisable SUNDIALS internal warning messagesĬalculate all right hand sides of the sensitivity equations at once
You can retrieve the entire state trajectory as follows, after the evaluate call: Call reset. Interface to CVodes from the Sundials suite.Ī call to evaluate will integrate to the end. You can obtain their documentation with Integrator.doc("myextraplugin") cvodes Also, there might be extra plugins available to you that are not listed here. Note: some of the plugins in this list might not be available on your system.
Xf and qf integrator function full#
Output scheme: casadi::IntegratorOutput (INTEGRATOR_NUM_OUT = 6) Full nameīackward differential state at the initial time.īackward quadrature state at the initial time.īackward algebraic variable at the initial time. Initial guess for the backwards algebraic variable. Initial guess for the algebraic variable.īackward differential state at the final time. Input scheme: casadi::IntegratorInput (INTEGRATOR_NUM_IN = 6) Full name Options for specific auto-generated functions, overwriting the defaults from common_options. Set of user problem functions to be monitored Replace MX with SX expressions in problem formulation Options to be passed down to the augmented integrator, if one is constructed. Gx, gz and gq have a linear dependency on rx, rz and rp. dfz/dz, dgz/drz are invertible) and furthermore that Where we assume that both the forward and backwards integrations are index-1 More.Ĭreate an ODE/DAE integrator Solves an initial value problem (IVP) coupled to a terminal value problem with differential equation given as an implicit ODE coupled to an algebraic equation and a set of quadratures: Initial conditions at t=t0ĭer(x) = function(x, z, p, t) Forward ODEĠ = fz(x, z, p, t) Forward algebraic equationsĭer(q) = fq(x, z, p, t) Forward quadraturesĭer(rx) = gx(rx, rz, rp, x, z, p, t) Backward ODEĠ = gz(rx, rz, rp, x, z, p, t) Backward algebraic equationsĭer(rq) = gq(rx, rz, rp, x, z, p, t) Backward quadratures Get integrator input scheme name by index. Get integrator output scheme of integrators. Get the documentation string for a plugin. More.Ĭasadi::doc_integrator (const std::string &name) More.Ĭasadi::load_integrator (const std::string &name)Įxplicitly load a plugin dynamically. Casadi::integrator (const std::string &name, const std::string &solver, const SXDict &dae, const Dict &opts=Dict())Ĭasadi::integrator (const std::string &name, const std::string &solver, const MXDict &dae, const Dict &opts=Dict())Ĭasadi::integrator (const std::string &name, const std::string &solver, const Function &dae, const Dict &opts=Dict())Ĭasadi::has_integrator (const std::string &name)Ĭheck if a particular plugin is available.
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