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NAG C Libary - Decision Trees
Selecting the best routine
Decision Trees within many Chapter Introductions in the NAG C Library Manual make finding the right routine easier and quicker than ever before.
The trees lead the user through some simple yes/no questions that categorize the problem and lead to suggestions of the most suitable routines to be used. For example, the following decision tree is one of several included in the chapter on Partial Differential Equations (Chapter d03):
The following links will bring you to the location of the decision trees in the chapters indicated for the NAG C Library Mark 8 documentation.
| Roots of One or More Transcendental Equations |
Tree 1: Functions of One Variable
Tree 2: Functions of several variables |
Chapter c05
Link to xhtml document* |
| Quadrature |
Tree 1: One-dimensional integrals over a finite interval
Tree 2: One-dimensional integrals over a semi-finite or infinite interval
Tree 3: Multi-dimensional integrals |
Chapter d01
Link to xhtml document* |
| Ordinary Differential Equations |
Tree 1: Initial Value Problems
Tree 2: Boundary Value Problems |
Chapter d02
Link to xhtml document* |
| Partial Differential Equations |
Tree 1
Tree 2: Hyperbolic branch
Tree 3: Parabolic branch
Tree 4: Branch for parabolic PDE in non-conservative form |
Chapter d03
Link to xhtml document* |
| Interpolation |
Tree 1 |
Chapter e01
Link to PDF |
| Curve and Surface Fitting |
Tree 1
Tree 2 |
Chapter e02
Link to PDF |
| Minimizing or Maximizing a Function |
Tree 1: Selection chart for unconstrained problems
Tree 2: Selection chart for bound-constrained, linearly-constrained and nonlinearly-constrained problems
Tree 3: Linear programming
Tree 4: Quadratic programming |
Chapter e04
Link to PDF |
| Matrix Factorizations |
Tree 1
Tree 2: Inverse of a real n by n matrix of full rank
Tree 3: Inverse of a complex n by n matrix of full rank
Tree 4: Pseudo-inverses |
Chapter f01
Link to PDF |
| Eigenvalues and Eigenvectors |
Tree 1: Eigenvalues and Eigenvectors of Real Matrices
Tree 2: Eigenvalues and Eigenvectors of Complex Matrices
Tree 3: Singular Values and Singular Vectors |
Chapter f02
Link to PDF |
| Determinants |
Tree 1 |
Chapter f03
Link to PDF |
| Simultaneous Linear Equations |
Tree 1: Black Box functions for unique solution of Ax=b (Real matrix)
Tree 2: Black Box functions for unique solution of Ax=b (Complex matrix)
Tree 3: General purpose functions for unique solution of Ax=b (Real matrix)
Tree 4: General purpose functions fur unique solution of Ax=b (Complex matrix) |
Chapter f04
Link to PDF |
| Least-squares and Eigenvalue Problems (LAPACK) |
Tree 1: Real Symmetric Eigenvalue Problems
Tree 2: Real Generalized Symmetric-definite Eigenvalue Problems
Tree 3: Real Nonsymmetric Eigenvalue Problems
Tree 4: Real Generalized Nonsymmetric Eigenvalue Problems
Tree 5: Complex Hermitian Eigenvalue Problems
Tree 6: Complex Generalized Hermitian-definite Eigenvalue Problems
Tree 7: Complex non-Hermitian Eigenvalue Problems
Tree 8: Complex Generalized non-Hermitian Eigenvalue Problems
Tree 9 |
Chapter f08
Link to PDF |
| Large Scale Linear Systems |
Tree 1: Solvers |
Chapter f11
Link to PDF |
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