Examples that Use Standard Algorithm 27 Unconstrained Minimization Example 2-8 Nonlinear Inequality Constrained Example 2-9 Constrained Example with Bounds 2-11 Constrained Example with gradients Gradient Check: Analytic Versus Numeric Equality Constrained Example 2-15 Maximization 2-16 Greater-Than-Zero Constraints 2-16 Additional Arguments: Avoiding Global Variables 2-16 Nonlinear Equations with analytic Jacobian Nonlinear Equations with Finite-Difference Jacobian 220 Multiobjective Examples Large-Scale Examples 2-33 Problems Covered by Large-Scale Methods Nonlinear Equations with Jacobian Nonlinear Equations with Jacobian Sparsity Pattern 239 Nonlinear Least-squares with Full Jacobian Sparsity Pattern Nonlinear minimization with gradient and hessian Nonlinear Minimization with gradient and Hessian Sparsity Pattern 2-44 Nonlinear Minimization with bound Constraints and banded Precondit 2-46 Nonlinear Minimization with Equality Constraint 2-50 Nonlinear minimization with a dense but structured Hessian and Equality Constraints 2-51 Quadratic Minimization with Bound Constraints Quadratic Minimization with a Dense but Structured Linear Least-Squares with Bound Constraints 2-60 Linear Programming with Equalities and Inequalities 2-61 Linear Programming with Dense Columns in the Equalities. 2-62 Default Parameter Settings 2-65 Changing the Default Settings 2-65 Displaying Iterative Output 2-68 Output Headings: Medium-Scale algorithmsii Contents Examples that Use Standard Algorithms . . . . . . . . . . . . . . . . 2-7 Unconstrained Minimization Example . . . . . . . . . . . . . . . . . . . . 2-8 Nonlinear Inequality Constrained Example . . . . . . . . . . . . . . . 2-9 Constrained Example with Bounds . . . . . . . . . . . . . . . . . . . . . 2-11 Constrained Example with Gradients . . . . . . . . . . . . . . . . . . . 2-12 Gradient Check: Analytic Versus Numeric . . . . . . . . . . . . . . . 2-14 Equality Constrained Example . . . . . . . . . . . . . . . . . . . . . . . . . 2-15 Maximization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-16 Greater-Than-Zero Constraints . . . . . . . . . . . . . . . . . . . . . . . . 2-16 Additional Arguments: Avoiding Global Variables . . . . . . . . . 2-16 Nonlinear Equations with Analytic Jacobian . . . . . . . . . . . . . . 2-17 Nonlinear Equations with Finite-Difference Jacobian . . . . . . 2-20 Multiobjective Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-21 Large-Scale Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-33 Problems Covered by Large-Scale Methods . . . . . . . . . . . . . . . 2-34 Nonlinear Equations with Jacobian . . . . . . . . . . . . . . . . . . . . . 2-37 Nonlinear Equations with Jacobian Sparsity Pattern . . . . . . . 2-39 Nonlinear Least-Squares with Full Jacobian Sparsity Pattern . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-41 Nonlinear Minimization with Gradient and Hessian . . . . . . . 2-43 Nonlinear Minimization with Gradient and Hessian Sparsity Pattern . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-44 Nonlinear Minimization with Bound Constraints and Banded Preconditioner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-46 Nonlinear Minimization with Equality Constraints . . . . . . . . 2-50 Nonlinear Minimization with a Dense but Structured Hessian and Equality Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-51 Quadratic Minimization with Bound Constraints . . . . . . . . . . 2-55 Quadratic Minimization with a Dense but Structured Hessian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-57 Linear Least-Squares with Bound Constraints . . . . . . . . . . . . 2-60 Linear Programming with Equalities and Inequalities . . . . . . 2-61 Linear Programming with Dense Columns in the Equalities . 2-62 Default Parameter Settings . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-65 Changing the Default Settings . . . . . . . . . . . . . . . . . . . . . . . . . 2-65 Displaying Iterative Output . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-68 Output Headings: Medium-Scale Algorithms . . . . . . . . . . . . . 2-68