AD Methods That Differentiate Implicit Functions
Table of Contents
Implicit AD License
Run CMake to Configure Implicit AD
Utilities Used by All Methods
Utilities Used by All Methods
Notation
Norm Squared of a Vector
Join Two Vectors
Convert A CppAD Sparse Matrix to an Eigen Sparse Matrix
Solve a CppAD Sparse Lower Triangular System
Compute Jacobian of Implicit Function Constraints
Kedem Method for Derivatives of Implicit Functions
Kedem Method for Derivatives of Implicit Functions
Example / Test of Implicit Wagner Class
Newton Step Method for Derivatives of Implicit Functions
Newton Step Method for Derivatives of Implicit Functions
Example / Test of Implicit Newton Class
The Control Test Problem
The Control Test Problem
Conversions Between Control Vectors and Matrices
Computes the Control Objective Function
Record the Control Objective
Computes the Control Constraint Function
Record the Control Constraint as a CppAD Function Object
Execute Full Newton Steps For Control Constraint
Control Problem Solver for Implicit Kedem or Newton Object
Example / Test of Control Problem Reduced Objective
Timing Comparison of Methods
Timing Comparison of Methods
Set T, p, and q
Repeated Computation of Control Problem Gradient Using Kedem Method
Repeated Computation of Control Problem Gradient Using Newton Method
Repeated Computation of Control Problem Hessian Using Kedem Method
Repeated Computation of Control Problem Hessian Using Newton Method
Alphabetic Listing of Cross Reference Tags
Keyword Index
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External Internet References