Structure to implement a newton object for a stationary NS problem.
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#include <ReducedSteadyNS.H>
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| | newton_steadyNS (int Nx, int Ny, steadyNS &problem) |
| int | operator() (const Eigen::VectorXd &x, Eigen::VectorXd &fvec) const |
| int | df (const Eigen::VectorXd &x, Eigen::MatrixXd &fjac) const |
| | newton_argument () |
| | Constructor.
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| int | operator() (const Eigen::VectorXd &x, Eigen::VectorXd &fvec) const |
| | Operator to compute the residual vector.
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| int | df (const Eigen::VectorXd &x, Eigen::VectorXd &fvec) const |
| | Operator to compute the jacobian matrix.
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| int | inputs () const |
| | Return the inputs.
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| int | values () const |
| | Return the values.
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| enum | |
| typedef double | Scalar |
| typedef Eigen::Matrix< Scalar, InputsAtCompileTime, 1 > | InputType |
| typedef Eigen::Matrix< Scalar, ValuesAtCompileTime, 1 > | ValueType |
| typedef Eigen::Matrix< Scalar, ValuesAtCompileTime, InputsAtCompileTime > | JacobianType |
Structure to implement a newton object for a stationary NS problem.
Definition at line 51 of file ReducedSteadyNS.H.
◆ newton_steadyNS() [1/2]
| newton_steadyNS::newton_steadyNS |
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| ) |
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inline |
◆ newton_steadyNS() [2/2]
| newton_steadyNS::newton_steadyNS |
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int | Nx, |
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int | Ny, |
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steadyNS & | problem ) |
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inline |
◆ df()
| int newton_steadyNS::df |
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const Eigen::VectorXd & | x, |
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Eigen::MatrixXd & | fjac ) const |
◆ operator()()
| int newton_steadyNS::operator() |
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const Eigen::VectorXd & | x, |
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Eigen::VectorXd & | fvec ) const |
◆ BC
| Eigen::VectorXd newton_steadyNS::BC |
◆ N_BC
| int newton_steadyNS::N_BC |
◆ Nphi_p
| int newton_steadyNS::Nphi_p |
◆ Nphi_u
| int newton_steadyNS::Nphi_u |
◆ nu
| scalar newton_steadyNS::nu |
◆ problem
◆ tauU
| Eigen::MatrixXd newton_steadyNS::tauU |
The documentation for this struct was generated from the following files: