Directory dependency graph for algo:
Files | |
| file | vnl_adaptsimpson_integral.cxx [code] |
| file | vnl_adaptsimpson_integral.h [code] |
| file | vnl_adjugate.h [code] |
| file | vnl_adjugate.hxx [code] |
| file | vnl_algo_fwd.h [code] |
| file | vnl_amoeba.cxx [code] |
| file | vnl_amoeba.h [code] |
| Nelder-Meade downhill simplex. | |
| file | vnl_bracket_minimum.cxx [code] |
| Function to bracket a minimum. | |
| file | vnl_bracket_minimum.h [code] |
| Function to bracket a minimum. | |
| file | vnl_brent.cxx [code] |
| file | vnl_brent.h [code] |
| file | vnl_brent_minimizer.cxx [code] |
| file | vnl_brent_minimizer.h [code] |
| file | vnl_chi_squared.h [code] |
| Name space for various (mostly templated) chi-squared distribution functions. | |
| file | vnl_chi_squared.hxx [code] |
| file | vnl_cholesky.cxx [code] |
| vnl_cholesky | |
| file | vnl_cholesky.h [code] |
| Decomposition of symmetric matrix. | |
| file | vnl_complex_eigensystem.cxx [code] |
| file | vnl_complex_eigensystem.h [code] |
| Calculates eigenvalues and eigenvectors of a square complex matrix. | |
| file | vnl_complex_generalized_schur.cxx [code] |
| file | vnl_complex_generalized_schur.h [code] |
| Solves the generalized eigenproblem det(t A - s B) = 0. | |
| file | vnl_conjugate_gradient.cxx [code] |
| file | vnl_conjugate_gradient.h [code] |
| real function minimization | |
| file | vnl_convolve.h [code] |
| Templated 1D and 2D convolution. | |
| file | vnl_convolve.hxx [code] |
| file | vnl_cpoly_roots.cxx [code] |
| file | vnl_cpoly_roots.h [code] |
| finds roots of a univariate polynomial with complex coefficients | |
| file | vnl_determinant.cxx [code] |
| file | vnl_determinant.h [code] |
| calculates the determinant of a matrix | |
| file | vnl_determinant.hxx [code] |
| file | vnl_discrete_diff.cxx [code] |
| file | vnl_discrete_diff.h [code] |
| Functions to compute jacobians of vnl_least_squares_functions. | |
| file | vnl_fft.cxx [code] |
| file | vnl_fft.h [code] |
| file | vnl_fft_1d.h [code] |
| In-place 1D fast Fourier transform. | |
| file | vnl_fft_1d.hxx [code] |
| file | vnl_fft_2d.h [code] |
| In-place 2D fast Fourier transform. | |
| file | vnl_fft_2d.hxx [code] |
| file | vnl_fft_base.h [code] |
| In-place n-D fast Fourier transform. | |
| file | vnl_fft_base.hxx [code] |
| file | vnl_fft_prime_factors.h [code] |
| Holds prime factor information. | |
| file | vnl_fft_prime_factors.hxx [code] |
| file | vnl_fit_parabola.h [code] |
| Function to fit a parabola to three point to predict the centre line. | |
| file | vnl_gaussian_kernel_1d.cxx [code] |
| file | vnl_gaussian_kernel_1d.h [code] |
| Holds one half of a discretely sampled 1D gaussian distribution. | |
| file | vnl_generalized_eigensystem.cxx [code] |
| file | vnl_generalized_eigensystem.h [code] |
| Solves the generalized eigenproblem Ax=La. | |
| file | vnl_generalized_schur.cxx [code] |
| file | vnl_generalized_schur.h [code] |
| Solves the generalized eigenproblem det(t A - s B) = 0. | |
| file | vnl_lbfgs.cxx [code] |
| file | vnl_lbfgs.h [code] |
| Limited memory Broyden Fletcher Goldfarb Shannon minimization. | |
| file | vnl_lbfgsb.cxx [code] |
| file | vnl_lbfgsb.h [code] |
| Limited memory Broyden Fletcher Goldfarb Shannon constrained opt. | |
| file | vnl_ldl_cholesky.cxx [code] |
| Updateable Cholesky decomposition: A=LDL'. | |
| file | vnl_ldl_cholesky.h [code] |
| Updateable Cholesky decomposition: A=LDL'. | |
| file | vnl_levenberg_marquardt.cxx [code] |
| file | vnl_levenberg_marquardt.h [code] |
| Levenberg Marquardt nonlinear least squares. | |
| file | vnl_lsqr.cxx [code] |
| file | vnl_lsqr.h [code] |
| Linear least squares. | |
| file | vnl_matrix_inverse.h [code] |
| Calculates inverse of a matrix (wrapper around vnl_svd<double>) | |
| file | vnl_matrix_inverse.hxx [code] |
| file | vnl_matrix_update.h [code] |
| Function to compute M=M+a*b'. | |
| file | vnl_netlib.h [code] |
| Declare in a central place the list of symbols from netlib. | |
| file | vnl_orthogonal_complement.h [code] |
| For computing the orthogonal complement to a linear subspace. | |
| file | vnl_orthogonal_complement.hxx [code] |
| file | vnl_powell.cxx [code] |
| file | vnl_powell.h [code] |
| Powell minimizer. | |
| file | vnl_qr.h [code] |
| Calculate inverse of a matrix using QR. | |
| file | vnl_qr.hxx [code] |
| file | vnl_real_eigensystem.cxx [code] |
| file | vnl_real_eigensystem.h [code] |
| Extract eigensystem of non-symmetric matrix M, using EISPACK. | |
| file | vnl_rnpoly_solve.cxx [code] |
| file | vnl_rnpoly_solve.h [code] |
| Solves for roots of system of real polynomials. | |
| file | vnl_rpoly_roots.cxx [code] |
| file | vnl_rpoly_roots.h [code] |
| Finds roots of a real polynomial. | |
| file | vnl_scatter_3x3.h [code] |
| 3x3 scatter matrix | |
| file | vnl_scatter_3x3.hxx [code] |
| file | vnl_simpson_integral.cxx [code] |
| file | vnl_simpson_integral.h [code] |
| file | vnl_solve_qp.cxx [code] |
| Functions to solve various forms of constrained quadratic programming. | |
| file | vnl_solve_qp.h [code] |
| Functions to solve various forms of constrained quadratic programming. | |
| file | vnl_sparse_lm.cxx [code] |
| file | vnl_sparse_lm.h [code] |
| Sparse Levenberg Marquardt nonlinear least squares. | |
| file | vnl_sparse_lu.cxx [code] |
| file | vnl_sparse_lu.h [code] |
| Solution of the linear system Mx = b for sparse matrices. | |
| file | vnl_sparse_symmetric_eigensystem.cxx [code] |
| file | vnl_sparse_symmetric_eigensystem.h [code] |
| Find the eigenvalues of a sparse symmetric matrix. | |
| file | vnl_svd.h [code] |
| Holds the singular value decomposition of a vnl_matrix. | |
| file | vnl_svd.hxx [code] |
| file | vnl_svd_economy.h [code] |
| SVD wrapper that doesn't compute the left singular vectors, U. | |
| file | vnl_svd_economy.hxx [code] |
| file | vnl_svd_fixed.h [code] |
| Holds the singular value decomposition of a vnl_matrix_fixed. | |
| file | vnl_svd_fixed.hxx [code] |
| file | vnl_symmetric_eigensystem.h [code] |
| Find eigenvalues of a symmetric matrix. | |
| file | vnl_symmetric_eigensystem.hxx [code] |
