Prev | Next | _reference |
C | |
constraint | Computes the Control Constraint Function |
control | The Control Test Problem |
F | |
full_newton | Execute Full Newton Steps For Control Constraint |
I | |
implicit_ad | AD Methods That Differentiate Implicit Functions |
implicit_kedem | Kedem Method for Derivatives of Implicit Functions |
implicit_newton | Newton Step Method for Derivatives of Implicit Functions |
implicit_solver | Control Problem Solver for Implicit Kedem or Newton Object |
J | |
jac_constraint | Compute Jacobian of Implicit Function Constraints |
join_vector | Join Two Vectors |
L | |
license | Implicit AD License |
N | |
norm_squared | Norm Squared of a Vector |
notation | Notation |
O | |
objective | Computes the Control Objective Function |
R | |
rec_constraint | Record the Control Constraint as a CppAD Function Object |
rec_objective | Record the Control Objective |
repeat_kedem_gradient | Repeated Computation of Control Problem Gradient Using Kedem Method |
repeat_kedem_hessian | Repeated Computation of Control Problem Hessian Using Kedem Method |
repeat_newton_gradient | Repeated Computation of Control Problem Gradient Using Newton Method |
repeat_newton_hessian | Repeated Computation of Control Problem Hessian Using Newton Method |
run_cmake.sh | Run CMake to Configure Implicit AD |
S | |
set_T_p_and_q | Set T, p, and q |
solve_lower_cppad | Solve a CppAD Sparse Lower Triangular System |
sparse_cppad2eigen | Convert A CppAD Sparse Matrix to an Eigen Sparse Matrix |
T | |
test_circle_implicit_kedem | Example / Test of Implicit Wagner Class |
test_circle_implicit_newton | Example / Test of Implicit Newton Class |
test_control_reduced_objective | Example / Test of Control Problem Reduced Objective |
time | Timing Comparison of Methods |
U | |
utility | Utilities Used by All Methods |
V | |
vector_matrix | Conversions Between Control Vectors and Matrices |