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quasi_1d_euler.hpp
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quasi_1d_euler.hpp
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/**
* \file quasi_1d_euler.hpp
* \brief header file for Quasi1DEuler
* \author Jason Hicken <[email protected]>
* \version 1.0
*/
#pragma once
#include <math.h>
#include <ostream>
#include <iostream>
#include <complex>
#include <boost/numeric/ublas/vector.hpp>
#include <boost/numeric/ublas/banded.hpp>
#include <boost/numeric/ublas/vector_proxy.hpp>
#include "../krylov.hpp"
#include "./inner_prod_vector.hpp"
#include "./sum_by_parts.hpp"
#include "./hyperdual.hpp"
namespace ublas = boost::numeric::ublas;
typedef std::complex<double> complex;
const double kGamma = 1.4; ///< specific heat ratio
enum objective {
inverse = 0, ///< inverse design objective
total_kinetic = 1 ///< total kinetic energy objective
};
enum norm_type {
inf = 0, ///< infinity (max) norm
L2 = 2 ///< L2 norm
};
/*!
* \brief complex version of fabs for complexified functions
* \param[in] z - complex variable whose absolute value is being taken
*/
complex fabs(const complex & z);
// ======================================================================
/*!
* \class JacobianVectorProduct
* \brief specialization of matrix-vector product for InnerProdVectors
*/
class Quasi1DEuler;
class JacobianVectorProduct :
public kona::MatrixVectorProduct<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver (defines product)
*/
JacobianVectorProduct(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~JacobianVectorProduct() {} ///< class destructor
/*!
* \brief operator that defines the Jacobian-Vector product
* \param[in] u - vector that is being multiplied by the Jacobian
* \param[out] v - vector that is the result of the product
*/
void operator()(const InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access the Jacobian-Vector routine
};
// ======================================================================
/*!
* \class ApproxJacobian
* \brief specialization of preconditioner for InnerProdVectors
*/
class ApproxJacobian :
public kona::Preconditioner<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver to access precond.
*/
ApproxJacobian(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~ApproxJacobian() {} ///< class destructor
/*!
* \brief operator that applies the approximate Jacobian LU decomp.
* \param[in] u - vector that is being preconditioned
* \param[out] v - vector that is the result of the preconditioning
*/
void operator()(InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access the preconditioner
};
// ======================================================================
/*!
* \class JacobianTransposedVectorProduct
* \brief specialization of matrix-vector product for InnerProdVectors
*/
class Quasi1DEuler;
class JacobianTransposedVectorProduct :
public kona::MatrixVectorProduct<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver (defines product)
*/
JacobianTransposedVectorProduct(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~JacobianTransposedVectorProduct() {} ///< class destructor
/*!
* \brief operator that defines the Jacobian-transposed-Vector product
* \param[in] u - vector that is being multiplied by the Jacobian
* \param[out] v - vector that is the result of the product
*/
void operator()(const InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access Jacobian-transposed product
};
// ======================================================================
/*!
* \class ApproxJacobianTransposed
* \brief specialization of preconditioner for InnerProdVectors
*/
class ApproxJacobianTransposed :
public kona::Preconditioner<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver to access precond.
*/
ApproxJacobianTransposed(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~ApproxJacobianTransposed() {} ///< class destructor
/*!
* \brief operator that solves the approximate Jacobian transposed
* \param[in] u - vector that is being preconditioned
* \param[out] v - vector that is the result of the preconditioning
*/
void operator()(InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access the preconditioner
};
// ======================================================================
/*!
* \class UnsteadyJacobianVectorProduct
* \brief specialization of matrix-vector product for InnerProdVectors
*/
class UnsteadyJacobianVectorProduct :
public kona::MatrixVectorProduct<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver (defines product)
*/
UnsteadyJacobianVectorProduct(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~UnsteadyJacobianVectorProduct() {} ///< class destructor
/*!
* \brief operator that defines the unsteady Jacobian-Vector product
* \param[in] u - vector that is being multiplied by the Jacobian
* \param[out] v - vector that is the result of the product
*/
void operator()(const InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access the Jacobian-Vector routine
};
// ======================================================================
/*!
* \class UnsteadyJacTransVectorProduct
* \brief specialization of matrix-vector product for InnerProdVectors
*/
class UnsteadyJacTransVectorProduct :
public kona::MatrixVectorProduct<InnerProdVector> {
public:
/*!
* \brief default constructor
* \param[in] euler_solver - a Quasi1DEuler solver (defines product)
*/
UnsteadyJacTransVectorProduct(Quasi1DEuler * euler_solver) {
solver = euler_solver;
}
~UnsteadyJacTransVectorProduct() {} ///< class destructor
/*!
* \brief operator that defines the unsteady transposed Jacobian-Vector
* \param[in] u - vector that is being multiplied by the Jacobian
* \param[out] v - vector that is the result of the product
*/
void operator()(const InnerProdVector & u, InnerProdVector & v);
private:
Quasi1DEuler * solver; ///< used to access the transposed product routine
};
// ======================================================================
/*!
* \class Quasi1DEuler
* \brief defines and solves a steady quasi-1d Euler problem
*/
class Nozzle;
class Quasi1DEuler {
public:
/*!
* \brief default constructor
*/
Quasi1DEuler() {}
/*!
* \brief class constructor
* \param[in] num_nodes - number of nodes in the domain
* \param[in] order - order of accuracy of SBP operator
*/
Quasi1DEuler(int num_nodes, int order) :
sbp_deriv_(num_nodes, order),
sbp_diss_(num_nodes, order, order),
prec_(3*num_nodes, 3*num_nodes, 5, 5),
x_coord_(num_nodes, 0.0),
met_jac_(num_nodes, 0.0),
area_(num_nodes, 0.0),
press_(num_nodes, 0.0),
press_targ_(num_nodes, 0.0),
sndsp_(num_nodes, 0.0),
spect_(num_nodes, 0.0),
q_(3*num_nodes, 1.0),
q_old_(3*num_nodes, 1.0),
res_(3*num_nodes, 0.0),
psi_(3*num_nodes, 0.0),
bc_left_(),
bc_right_() {
num_nodes_ = num_nodes;
dxi_ = 1.0/static_cast<double>(num_nodes_-1);
ClearPreconditionerCallCounts();
}
/*!
* \brief default destructor
*/
~Quasi1DEuler() {}
/*!
* \brief returns the number of nodes in the mesh
* \returns num_nodes_ member value
*/
const int & get_num_nodes() const { return num_nodes_;}
/*!
* \brief returns a const reference to the mesh spacing
*/
const double & dxi() const {
return dxi_;
}
/*!
* \brief returns a const reference to the time step
*/
const double & dt() const {
return dt_;
}
/*!
* \brief returns the number of calls to the primal preconditioner
* \returns num_primal_precond_ member value
*/
int get_num_primal_precond() { return num_primal_precond_; }
/*!
* \brief returns the number of calls to the adjoint preconditioner
* \returns num_adjoint_precond_ member value
*/
int get_num_adjoint_precond() { return num_adjoint_precond_; }
/*!
* \brief get the sum of primal and adjoint preconditioner calls
* \returns sum of num_adjoint_precond_ and num_adjoint_adjoint_
*/
int TotalPreconditionerCalls() {
return num_primal_precond_ + num_adjoint_precond_;
}
/*!
* \breif sets the number of calls to the preconditioners to zero
*/
void ClearPreconditionerCallCounts() {
num_primal_precond_ = 0;
num_adjoint_precond_ = 0;
}
/*!
* \brief set the coordinates of the nodes
* \param[in] coord - values used to set coordinates
*/
void set_x_coord(const InnerProdVector & coord) {
x_coord_ = coord;
sbp_deriv_.Apply(1, x_coord_, met_jac_);
}
/*!
* \brief returns a const ref to the coordinates of the nodes
* \returns a vector of nodal x coordinates
*/
const InnerProdVector & get_x_coord() const { return x_coord_; }
/*!
* \brief set the area of the nozzle at each node
* \param[in] A - values used to set areas
*/
void set_area(const InnerProdVector & A) { area_ = A; }
/*!
* \brief set the momentum source for each time
* \param[in] x - x location (origin) of source
* \param[in] sigma - width (std) of source
* \param[in] source - values used to set source (between time steps)
*/
void set_source(const double & x, const double & sigma,
const InnerProdVector & source) {
src_x_ = x;
src_sig2_ = sigma*sigma;
src_ = source;
}
/*!
* \brief set the value of the numerical dissipation coefficient
* \param[in] val - value of the coefficient
*/
void set_diss_coeff(const double & val) { diss_coeff_ = val; }
/*!
* \brief set the boundary conditions at the left boundary
* \param[in] rho - value of the density at the left boundary
* \param[in] rho_u - value of the momentum at the left boundary
* \param[in] e - value of the total energy per unit volume
*/
void set_bc_left(const double & rho, const double & rho_u,
const double & e) {
bc_left_(0) = rho;
bc_left_(1) = rho_u;
bc_left_(2) = e;
}
/*!
* \brief set the boundary conditions at the right boundary
* \param[in] rho - value of the density at the right boundary
* \param[in] rho_u - value of the momentum at the right boundary
* \param[in] e - value of the total energy per unit volume
*/
void set_bc_right(const double & rho, const double & rho_u,
const double & e) {
bc_right_(0) = rho;
bc_right_(1) = rho_u;
bc_right_(2) = e;
}
/*!
* \brief sets the flow to a given state
* \param[in] q_new - desired state that the flow is set to
*
* This member function is useful for evaluating Jacobian-vector
* products at the point of linearization given by q_new
*/
void set_q(const InnerProdVector & q_new) { q_ = q_new; }
/*!
* \brief sets the previous flow state to a given state
* \param[in] q_old_new - desired state that the flow is set to
*
* This member function is useful for evaluating Jacobian-vector
* products at the point of linearization given by q_old_new
*/
void set_q_old(const InnerProdVector & q_old_new) { q_old_ = q_old_new; }
/*!
* \brief sets the target pressure for inverse design problems
* \param[in] press_targ - target pressure
*/
void set_press_targ(const InnerProdVector & press_targ) {
press_targ_ = press_targ;
}
/*!
* \brief return a const reference to the solution vector
* \returns the solution vector
*/
const InnerProdVector & get_q() const { return q_; }
/*!
* \brief return a const reference to the previous solution vector
* \returns the previous solution vector
*/
const InnerProdVector & get_q_old() const { return q_old_; }
/*!
* \brief return a const reference to the adjoint solution vector
* \returns the adjoint solution vector
*/
const InnerProdVector & get_psi() const { return psi_; }
/*!
* \brief return a const reference to the residual vector
* \returns the residual vector
*/
const InnerProdVector & get_res() const { return res_; }
/*!
* \brief return a const reference to the pressure
* \returns the pressure at each node
*/
const InnerProdVector & get_press() const { return press_; }
/*!
* \brief set a uniform flow based on the input values
* \param[in] rho - value of the density
* \param[in] rho_u - value of the momentum
* \param[in] e - value of the total energy per unit volume
*/
void InitialCondition(const double & rho, const double & rho_u,
const double & e) {
for (int i = 0; i < num_nodes_; i++) {
q(i,0) = rho;
q(i,1) = rho_u;
q(i,2) = e;
}
}
void InitialCondition(const InnerProdVector & q_init) {
q_old_ = q_init;
q_ = q_init;
}
/*!
* \brief sets the adjoint variable (useful for partitions in time)
* \param[in] psi_init - initial value for the adjoint
*/
void AdjointInitialCondition(const InnerProdVector & psi_init) {
psi_ = psi_init;
}
/*!
* \brief resizes the number of nodes on the grid
* \param[in] coord - the new grid coordinates
*/
void ResizeGrid(const InnerProdVector & coord);
/*!
* \brief calculates the pressure, sound speed, and spectral radius
* \param[in] q_var - the state used to compute the auxilliary variables
*/
void CalcAuxiliaryVariables(const InnerProdVector & q_var);
/*!
* \brief calculate the residual vector
* \result residual based on q_ is calculated and stored in res_
*/
void CalcResidual();
/*!
* \brief calculate the unsteady residual vector
* \result residual based on q_ and q_old is calculated and stored in res_
*/
void CalcUnsteadyResidual();
/*!
* \brief adds the momentum source to the residual vector
* \param[in] n - indicates the time iteration that is begin added [n,n+1]
*/
void AddUnsteadySource(const int & n);
/*!
* \brief calculates the product (dpress/dq)*u
* \param[in] u - vector that is being multiplied (size = 3*num_nodes)
* \param[out] v - vector that holds resulting product (size = num_nodes)
*/
void CalcDPressDQProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief calculates the product (dpress/dq)^{T}*u
* \param[in] u - vector that is being multiplied (size = num_nodes)
* \param[out] v - vector that holds resulting product (size = 3*num_nodes)
*/
void CalcDPressDQTransposedProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief checks the products involving dPress/dQ, using v^T*(dPress/dQ)*u
*/
void TestDPressDQProducts();
/*!
* \brief calculate the Jacobian-vector product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \pre the state held in q_ determines the Jacobian
*/
void JacobianStateProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief tests the JacobianStateProduct() routine using FD
*/
void TestJacobianStateProduct();
/*!
* \brief calculate the Jacobian-transposed-vector product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \pre the state held in q_ determines the Jacobian
*/
void JacobianTransposedStateProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief tests the JacobianTransposedStateProduct() routine
*/
void TestJacobianTransposedStateProduct();
/*!
* \brief calculate the (unsteady) Jacobian-vector product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \param[in] plus_time - if true, I*u is added, otherwise, I*u is subtracted
* \pre the states held in q_ and q_old_ determines the Jacobian
*/
void UnsteadyJacobianStateProduct(const InnerProdVector & u,
InnerProdVector & v,
const bool & plus_time = true);
/*!
* \brief calculate the (unsteady) approximate Jacobian-vector product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \param[in] plus_time - if true, I*u is added, otherwise, I*u is subtracted
* \pre the states held in q_ and q_old_ determines the approximate Jacobian
*/
void UnsteadyApproxJacStateProduct(const InnerProdVector & u,
InnerProdVector & v,
const bool & plus_time = true);
/*!
* \brief calculate the (unsteady) transposed Jacobian-vector product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \param[in] plus_time - if true, I*u is added, otherwise, I*u is subtracted
* \pre the states held in q_ and q_old_ determines the Jacobian
*/
void UnsteadyJacTransStateProduct(const InnerProdVector & u,
InnerProdVector & v,
const bool & plus_time = true);
/*!
* \brief calculate the (unsteady) transposed approximate Jacobian-vector prod
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \param[in] plus_time - if true, I*u is added, otherwise, I*u is subtracted
* \pre the states held in q_ and q_old_ determines the approximate Jacobian
*/
void UnsteadyApproxJacTransStateProduct(const InnerProdVector & u,
InnerProdVector & v,
const bool & plus_time = true);
/*!
* \brief tests the UnsteadyJacTransStateProduct() routine
*/
void TestUnsteadyJacTransStateProduct();
/*!
* \brief calculate the residual Hessian-vector product
* \param[in] psi - vector that left-multiplies
* \param[in] w - vector that right-multiplies
* \param[out] v - vector that holds the resulting product
* \pre the state held in q_ determines the Hessian
*
* Note that w is not a const reference so that we can use a ublas
* vector_range on it inside the routine.
*/
void ResidualHessianProduct(const InnerProdVector & psi,
InnerProdVector & w,
InnerProdVector & v);
/*!
* \brief tests the ResidualHessianProduct() routine
*/
void TestResidualHessianProduct();
/*!
* \brief constructs an LU-preconditioner based on a first-order approx
*/
void BuildAndFactorPreconditioner();
/*!
* \brief constructs an LU-preconditioner based on a first-order approx
* \param[in] factor - if true factors the matrix, otherwise does not factor
*/
void BuildAndFactorUnsteadyPreconditioner(const bool & factor = true);
/*!
* \brief apply the first-order LU-preconditioner to a vector
* \param[in] u - vector that is being preconditioned
* \param[out] v - preconditioned vector
*/
void Precondition(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief apply the transposed first-order LU-preconditioner
* \param[in] u - vector that is being preconditioned
* \param[out] v - preconditioned vector
*/
void PreconditionTransposed(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief multiply a vector by the first-order LU-preconditioner
* \param[in] u - vector that is being multiplied
* \param[out] v - product
*
* For testing
*/
void PreconditionerMultiply(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief calculate the Jacobian (w.r.t the area) product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \pre q_ and area_ determine the Jacobian
*/
void JacobianAreaProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief calculate the Jacobian (w.r.t the area) transposed product
* \param[in] u - vector that is being multiplied
* \param[out] v - vector that holds the resulting product
* \pre q_ and area_ determine the Jacobian
*/
void JacobianTransposedAreaProduct(const InnerProdVector & u,
InnerProdVector & v);
/*!
* \brief tests JacobianAreaProduct() and JacobianTransposedProduct()
*/
void TestJacobianAreaProducts();
/*!
* \brief solves for the flow using explicit Euler time marching
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] target_cfl - a target CFL number to use
* \param[in] tol - tolerance with which to solve the system
*/
void ExplicitEuler(const int & max_iter, const double & target_cfl,
const double & tol);
/*!
* \brief solves for the flow using a Newton-Krylov algorithm
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] tol - tolerance with which to solve the system
* \returns - total number of preconditioner calls
*/
int NewtonKrylov(const int & max_iter, const double & tol, bool info=false);
/*!
* \brief solves for the adjoint variables using a Krylov solver
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] tol - tolerance with which to solve the system
* \param[in] dJdQ - the rhs of the adjoint linear system
* \returns total number of preconditioner calls
*/
int SolveAdjoint(const int & max_iter, const double & tol,
const InnerProdVector & dJdQ,
InnerProdVector & psi);
/*!
* \brief solves the linearized state equation using a Krylov solver
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] tol - tolerance with which to solve the system
* \param[in] rhs - the rhs of the linearized system
* \returns total number of preconditioner calls
*/
int SolveLinearized(const int & max_iter, const double & tol,
const InnerProdVector & rhs,
InnerProdVector & dq);
/*!
* \brief solves an unsteady problem using the midpoint rule
* \param[in] iter - number of time steps
* \param[in] Time - period of time to solve
* \param[in] tol - tolerance with which to solve at each iteration
* \param[in] store - if true, the solution is stored to file (for adjoint)
* \param[in] flow_file - name of the file used to store the flow
* \param[in] tec_write - if true, a Tecplot solution file is written
*/
int SolveUnsteady(const int & iter, const double & Time, const double & tol,
const bool & store = false,
const string & flow_file = string("save_flow.bin"),
const bool & tec_write = false);
/*!
* \brief solve an unsteady adjoint problem using the midpoint rule
* \param[in] flow_file - name of the binary file storing the flow
* \param[in] max_krylov - maximum number of Krylov iterations allowed per step
* \param[in] tol - tolerance with which to solve at each iteration
* \param[in] dJdQ_file - name of the binary file storing the dJ/dQ derivative
* \param[in] psi_file - name of the binary file where the adjoint is stored
* \param[in] init_adjoint - if true, the value in psi_ is used as I.C.
*/
int SolveUnsteadyAdjoint(const string & flow_file, const int & max_krylov,
const double & tol, const string & dJdQ_file,
const string & psi_file,
const bool & init_adjoint = false);
/*!
* \brief solves one iteration of the unsteady linearized state equation
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] tol - tolerance with which to solve the system
* \param[in] rhs - the rhs of the linearized system
* \returns total number of preconditioner calls
* \pre dt_, q_old_ and q_ are defined
*
* This solves the linearized system at ONE particular iteration, not the
* complete unsteady system.
*/
int SolveUnsteadyIterLinearized(const int & max_iter,
const double & tol,
const InnerProdVector & rhs,
InnerProdVector & dq);
/*!
* \brief solves one iteration of the unsteady adjoint equation
* \param[in] max_iter - maximum number of iterations permitted
* \param[in] tol - tolerance with which to solve the system
* \param[in] rhs - the rhs of the adjoint system
* \returns total number of preconditioner calls
* \pre dt_, q_old_ and q_ are defined
*
* This solves the unsteady adjont system at ONE particular iteration, not the
* complete unsteady adjoint system.
*/
int SolveUnsteadyAdjointIter(const int & max_iter,
const double & tol,
const InnerProdVector & rhs,
InnerProdVector & psi);
/*!
* \brief write the solution to a Tecplot file
* \param[in] rhoL - the density at the inlet (for dimensionalization)
* \param[in] aL - sound speed at the inlet (for dimensionalization)
*/
void WriteTecplot(const double & rhoL, const double & aL,
const string & filename = "quasi1d.dat");
/*!
* \brief writes the solution for the current time step (q_) to file
* \param[in] iter - current iteration
* \param[in] dt - time step
* \param[in] fout - output stream
*/
void WriteUnsteadyTecplot(const int & iter, const double & dt,
ostream & fout);
/*!
* \brief writes the solution stored in flow_file to a Tecplot data file
* \param[in] flow_file - a binary file name storing the unsteady solution
* \param[in] tec_file - the output file name to write the solution to
*/
void WriteUnsteadyTecplot(const string & flow_file,
const string & tec_file);
/*!
* \brief writes the adjoint solution stored in psi_file to a Tecplot data file
* \param[in] psi_file - a binary file name storing the unsteady adjoint
* \param[in] tec_file - the output file name to write the solution to
*/
void WriteUnsteadyAdjointTecplot(const string & psi_file,
const string & tec_file);
/*!
* \brief writes the given vector to fout in binar
* \param[in] fout - file to write to
* \param[in] q_var - solution vector to write
*/
void SaveSolution(ofstream & fout, const InnerProdVector & q_var) const;
/*!
* \brief computes the error in the Mach number using exact solution
* \param[in] area_star - the critical area for the nozzle
* \param[in] subsonic - is the flow entirely subsonic
* \param[out] L2_error - the L2 error in the Mach number
* \param[out] max_error - the infinity norm error in the Mach number
*/
void CalcMachError(const double & area_star, const bool & subsonic,
double & L2_error, double & max_error);
/*!
* \brief computes the integral of the energy over the whole domain
* \param[in] sbp_quad - if true, uses SBP quadrature, else Simpsons
* \returns the energy integral computed using SBP-norm quadrature
*/
double CalcTotalEnergy(const bool & sbp_quad);
/*!
* \brief calculates gradient w.r.t. Q of the total energy functional
* \param[out] dJdQ - gradient of the objective
*/
void CalcTotalEnergydJdQ(InnerProdVector & dJdQ);
/*!
* \brief calculates the Hessian of J w.r.t. Q and multiplies by w
* \param[in] w - the vector multiplying d2JdQ2
* \param[out] dJ2dQ2 - the product d2J/dQ2 * w
*/
void CalcTotalEnergyd2JdQ2(const InnerProdVector & w,
InnerProdVector & dJdQ);
/*!
* \brief computes the pressure inverse design objective
*/
double CalcInverseDesign();
/*!
* \brief calculates gradient of the pressure inverse design objective
* \param[out] dJdQ - gradient of the objective
*/
void CalcInverseDesigndJdQ(InnerProdVector & dJdQ);
/*!
* \brief calculates the Hessian of J w.r.t. Q and multiplies by w
* \param[in] w - the vector multiplying d2JdQ2
* \param[out] dJ2dQ2 - the product d2J/dQ2 * w
*/
void CalcInverseDesignd2JdQ2(const InnerProdVector & w,
InnerProdVector & dJdQ);
/*!
* \brief Tests the accuracy of the d2J/dQ2*w product using FD
* \param[in] obj - the desired objective function
*/
void Testd2JdQ2(const objective & obj);
/*!
* \brief calculates the pressure sensor (unsteady) objective
* \param[in] x_center - x coordinate where the sensor is centered
* \param[in] sigma - standard deviation of the sensor kernel
* \param[in] press_targ - the constant target pressure
* \param[in] reg_param - regularization parameter
* \param[in] flow_file - name of the file that stores solution
*/
double CalcSensor(const double & x_center, const double & sigma,
const double & press_targ, const double & reg_param,
const string & flow_file);
/*!
* \brief calculates the (partial) derivative of the sensor objective
* \param[in] x_center - x coordinate where the sensor is centered
* \param[in] sigma - standard deviation of the sensor kernel
* \param[in] press_targ - the constant target pressure
* \param[in] reg_param - regularization parameter
* \param[in] flow_file - name of the file that stores solution
* \param[in] dJdQ_file - name of the file to store the derivative in
*/
void CalcSensordJdQ(const double & x_center, const double & sigma,
const double & press_targ, const double & reg_param,
const string & flow_file,
const string & dJdQ_file);
/*!
* \brief tests the routine CalcSensordJdQ
* \param[in] x_center - x coordinate where the sensor is centered
* \param[in] sigma - standard deviation of the sensor kernel
* \param[in] press_targ - the constant target pressure
* \param[in] reg_param - regularization parameter
* \param[in] flow_file - name of the file that stores solution
*/
void TestSensordJdQ(const double & x_center, const double & sigma,
const double & press_targ, const double & reg_param,
const string & flow_file);
/*!
* \brief calculates the gradient of a specified objective function
* \param[in] obj - the desired objective function
* \param[in] nozzle_shape - a class defining the nozzle shape
* \param[out] dJdX - the gradient of the objective
*/
void CalcGradient(const objective & obj, Nozzle & nozzle_shape,
InnerProdVector & dJdX);
/*!
* \brief calculates the gradient of the sensor objective w.r.t. the source
* \param[in] x_center - x coordinate where the sensor is centered
* \param[in] sigma - standard deviation of the sensor kernel
* \param[in] press_targ - the constant target pressure
* \param[in] reg_param - regularization parameter
* \param[in] max_krylov - maximum number of Krylov iterations allowed per step
* \param[in] flow_file - file name where flow solution is stored
* \param[out] dJdX - gradient of the sensor objective
*/
void CalcSensorGradient(const double & x_center, const double & sigma,
const double & press_targ, const double & reg_param,
const int & max_krylov, const string & flow_file,
InnerProdVector & dJdX);
/*!
* \brief adds the partial deriv of the sensor w.r.t. the source to given vec
* \param[in] reg_param - regularization parameter
* \param[in] dJdX - vector that partial derivative is added to
*/
void AddSensordJdSource(const double & reg_param, InnerProdVector & dJdX);
/*!
* \brief product of the Unsteady Jacobian, dRes/dx, with design variables
*/
void UnsteadyJacobianSourceProduct(const InnerProdVector & u,
const string & prod_file);
/*!
* \brief product of the transposed Unsteady Jacobian, dRes/dx, with adjoint
* \param[in] psi_file - file name where adjoint solution is stored
* \param[in] dJdX - gradient of the sensor objective
*/
void UnsteadyJacTransSourceProduct(const string & psi_file,
InnerProdVector & dJdX);
/*!
* \brief tests CalcSensorGradient() using a finite-difference approximation
*/
void TestSensorGradient();
/*!
* \brief calculates an estimate of the error in the gradient norm
* \param[in] norm - type of norm used on the gradient (L2, inf)
* \param[in] obj - objective function corresponding to the gradient
* \param[in] nozzle_shape - a class defining the nozzle shape
* \param[in] dJdX - the gradient of the objective
* \returns the estimate of the error using adjoint-weighted residual
*/
double EstimateGradientError(const norm_type & norm,
const objective & obj,
Nozzle & nozzle_shape,
const InnerProdVector & dJdX);
/*!
* \brief calculates an estimate of the error in the gradient norm
* \param[in] norm - type of norm used on the gradient (L2, inf)
* \param[in] obj - objective function corresponding to the gradient
* \param[in] nozzle_shape - a class defining the nozzle shape
* \param[in] dJdX - the gradient of the objective
* \returns the estimate of the error using adjoint-weighted residual
*
* This version uses finite-difference approximations to compute the
* right-hand-side of one of the adjoint problems
*/
double EstimateGradientErrorFD(const norm_type & norm,
const objective & obj,
Nozzle & nozzle_shape,
const InnerProdVector & dJdX);
/*!