File List

Here is a list of all files with brief descriptions:
core/vnl/dll.h [code]
core/vnl/vnl_alloc.cxx [code]
core/vnl/vnl_alloc.h [code]Default node allocator
core/vnl/vnl_analytic_integrant.h [code]
core/vnl/vnl_bessel.cxx [code]Bessel functions of the first kind
core/vnl/vnl_bessel.h [code]Bessel functions of the first kind
core/vnl/vnl_beta.h [code]The implementation of beta function, also called the Euler integral of the first kind
core/vnl/vnl_bignum.cxx [code]
core/vnl/vnl_bignum.h [code]Infinite precision integers
core/vnl/vnl_bignum_traits.cxx [code]
core/vnl/vnl_bignum_traits.h [code]Numeric traits for vnl_bignum
core/vnl/vnl_block.cxx [code]
core/vnl/vnl_block.h [code]
core/vnl/vnl_c_vector.h [code]Math on blocks of memory
core/vnl/vnl_c_vector.txx [code]
core/vnl/vnl_complex.h [code]Complex additions to vnl_math
core/vnl/vnl_complex_ops.txx [code]
core/vnl/vnl_complex_traits.h [code]To allow templated algorithms to determine appropriate actions of conjugation, complexification etc
core/vnl/vnl_complexify.h [code]Functions to create complex vectors and matrices from real ones
core/vnl/vnl_copy.cxx [code]
core/vnl/vnl_copy.h [code]Easy conversion between vectors and matrices templated over different types
core/vnl/vnl_cost_function.cxx [code]
core/vnl/vnl_cost_function.h [code]Vector->Real function
core/vnl/vnl_cross.h [code]Implements cross product for vectors
core/vnl/vnl_cross_product_matrix.h [code]3x3 cross-product matrix of vector
core/vnl/vnl_crs_index.cxx [code]
core/vnl/vnl_crs_index.h [code]Compressed Row Storage (CRS) indexing
core/vnl/vnl_definite_integral.cxx [code]
core/vnl/vnl_definite_integral.h [code]Abstract 1D integrant function used for definite integral
core/vnl/vnl_det.h [code]Direct evaluation of 2x2, 3x3 and 4x4 determinants
core/vnl/vnl_det.txx [code]
core/vnl/vnl_diag_matrix.h [code]Contains class for diagonal matrices
core/vnl/vnl_diag_matrix.txx [code]
core/vnl/vnl_diag_matrix_fixed.h [code]Contains class for diagonal matrices
core/vnl/vnl_diag_matrix_fixed.txx [code]
core/vnl/vnl_double_1x1.h [code]1x1 matrix of double
core/vnl/vnl_double_1x2.h [code]1x2 matrix of double
core/vnl/vnl_double_1x3.h [code]1x3 matrix of double
core/vnl/vnl_double_2.h [code]Alias for vnl_vector_fixed<double,2>
core/vnl/vnl_double_2x1.h [code]2x1 matrix of double
core/vnl/vnl_double_2x2.h [code]2x2 matrix of double
core/vnl/vnl_double_2x3.h [code]2x3 matrix of double
core/vnl/vnl_double_3.h [code]Contains class vnl_double_3 and function vnl_cross_3d()
core/vnl/vnl_double_3x1.h [code]3x1 matrix of double
core/vnl/vnl_double_3x2.h [code]3x2 matrix of double
core/vnl/vnl_double_3x3.h [code]3x3 matrix of double
core/vnl/vnl_double_3x4.h [code]3x4 Matrix of double
core/vnl/vnl_double_4.h [code]Alias for vnl_vector_fixed<double,4>
core/vnl/vnl_double_4x3.h [code]4x3 matrix of double
core/vnl/vnl_double_4x4.h [code]4x4 matrix of double
core/vnl/vnl_erf.cxx [code]Complete and incomplete gamma function approximations
core/vnl/vnl_erf.h [code]Error Function (erf) approximations
core/vnl/vnl_error.cxx [code]Copyright (C) 1991 Texas Instruments Incorporated
core/vnl/vnl_error.h [code]
core/vnl/vnl_fastops.cxx [code]
core/vnl/vnl_fastops.h [code]Collection of C-style matrix functions
core/vnl/vnl_file_matrix.h [code]Load vnl_matrix<double> from file
core/vnl/vnl_file_matrix.txx [code]
core/vnl/vnl_file_vector.h [code]Load vnl_vector<T> from file
core/vnl/vnl_file_vector.txx [code]
core/vnl/vnl_finite.h [code]Modulo-N arithmetic (finite ring Z_N and Z_N[X])
core/vnl/vnl_float_1x1.h [code]1x1 matrix of float
core/vnl/vnl_float_1x2.h [code]1x2 matrix of float
core/vnl/vnl_float_1x3.h [code]1x3 matrix of float
core/vnl/vnl_float_2.h [code]Contains class vnl_float_2
core/vnl/vnl_float_2x1.h [code]2x1 matrix of float
core/vnl/vnl_float_2x2.h [code]2x2 matrix of float
core/vnl/vnl_float_3.h [code]Contains class vnl_float_3
core/vnl/vnl_float_3x1.h [code]3x1 matrix of float
core/vnl/vnl_float_3x3.h [code]3x3 matrix of float
core/vnl/vnl_float_3x4.h [code]3x4 matrix of float
core/vnl/vnl_float_4.h [code]Contains class vnl_float_4
core/vnl/vnl_float_4x3.h [code]4x3 matrix of float
core/vnl/vnl_float_4x4.h [code]4x4 matrix of float
core/vnl/vnl_fortran_copy.h [code]Convert row-stored matrix to column-stored
core/vnl/vnl_fortran_copy.txx [code]
core/vnl/vnl_fortran_copy_fixed.h [code]Convert row-stored matrix to column-stored
core/vnl/vnl_fortran_copy_fixed.txx [code]
core/vnl/vnl_fwd.h [code]
core/vnl/vnl_gamma.cxx [code]Complete and incomplete gamma function approximations
core/vnl/vnl_gamma.h [code]Complete and incomplete gamma function approximations
core/vnl/vnl_hungarian_algorithm.cxx [code]
core/vnl/vnl_hungarian_algorithm.h [code]
core/vnl/vnl_identity.h [code]Contains class vnl_identity
core/vnl/vnl_identity_3x3.h [code]Contains class vnl_identity_3x3
core/vnl/vnl_imag.h [code]Functions to return the imaginary parts of complex arrays, vectors, matrices
core/vnl/vnl_int_1x1.h [code]1x1 matrix of int
core/vnl/vnl_int_2.h [code]Contains class vnl_int_2
core/vnl/vnl_int_2x2.h [code]2x2 matrix of int
core/vnl/vnl_int_3.h [code]Alias for vnl_vector_fixed<int,3>
core/vnl/vnl_int_4.h [code]Alias for vnl_vector_fixed<int,4>
core/vnl/vnl_int_matrix.cxx [code]Vnl_int_matrix Author: Andrew W
core/vnl/vnl_int_matrix.h [code]Specializes vnl_matrix for integers
core/vnl/vnl_integrant_fnct.h [code]Abstract class of 1D integrant function used in integral
core/vnl/vnl_inverse.h [code]Calculates inverse of a small vnl_matrix_fixed (not using svd)
core/vnl/vnl_least_squares_cost_function.cxx [code]
core/vnl/vnl_least_squares_cost_function.h [code]Vnl_least_squares_function -> vnl_cost_function adaptor
core/vnl/vnl_least_squares_function.cxx [code]
core/vnl/vnl_least_squares_function.h [code]Abstract base for minimising functions
core/vnl/vnl_linear_operators_3.h [code]3D linear algebra operations
core/vnl/vnl_linear_system.cxx [code]
core/vnl/vnl_linear_system.h [code]Abstraction for a linear system of equations
core/vnl/vnl_math.cxx [code]
core/vnl/vnl_math.h [code]Namespace with standard math functions
core/vnl/vnl_matlab_filewrite.cxx [code]
core/vnl/vnl_matlab_filewrite.h [code]
core/vnl/vnl_matlab_header.h [code]MATLAB header structure
core/vnl/vnl_matlab_print.h [code]Print matrices and vectors in nice MATLAB format
core/vnl/vnl_matlab_print.txx [code]
core/vnl/vnl_matlab_print2.h [code]After including this header file, the client should be able to say :
core/vnl/vnl_matlab_print_format.cxx [code]
core/vnl/vnl_matlab_print_format.h [code]
core/vnl/vnl_matlab_print_scalar.cxx [code]
core/vnl/vnl_matlab_print_scalar.h [code]
core/vnl/vnl_matlab_read.cxx [code]
core/vnl/vnl_matlab_read.h [code]Read from MATLAB files
core/vnl/vnl_matlab_write.cxx [code]
core/vnl/vnl_matlab_write.h [code]Write to a MAT file
core/vnl/vnl_matops.cxx [code]
core/vnl/vnl_matops.h [code]A collection of Matrix operations
core/vnl/vnl_matrix.h [code]An ordinary mathematical matrix
core/vnl/vnl_matrix.txx [code]Copyright (C) 1991 Texas Instruments Incorporated
core/vnl/vnl_matrix_exp.h [code]
core/vnl/vnl_matrix_exp.txx [code]
core/vnl/vnl_matrix_fixed.h [code]Fixed size matrix
core/vnl/vnl_matrix_fixed.txx [code]
core/vnl/vnl_matrix_fixed_ref.h [code]Fixed size stack-stored vnl_matrix
core/vnl/vnl_matrix_fixed_ref.txx [code]
core/vnl/vnl_matrix_ref.h [code]Vnl_matrix reference to user-supplied storage
core/vnl/vnl_na.cxx [code]
core/vnl/vnl_na.h [code]NA (Not Available) is a particular double NaN to represent missing data
core/vnl/vnl_nonlinear_minimizer.cxx [code]
core/vnl/vnl_nonlinear_minimizer.h [code]Base class for nonlinear optimization
core/vnl/vnl_numeric_traits.cxx [code]
core/vnl/vnl_numeric_traits.h [code]Templated zero/one/precision
core/vnl/vnl_operators.h [code]Various operators for templated vnl classes
core/vnl/vnl_power.h [code]Calculates nth power of a small vnl_matrix_fixed (not using svd)
core/vnl/vnl_quaternion.h [code]Unit quaternion represents rotation in 3D
core/vnl/vnl_quaternion.txx [code]Copyright (C) 1992 General Electric Company
core/vnl/vnl_random.cxx [code]
core/vnl/vnl_random.h [code]A superior random number generator
core/vnl/vnl_rank.h [code]Direct computation of the rank of a matrix, without using svd
core/vnl/vnl_rank.txx [code]
core/vnl/vnl_rational.cxx [code]
core/vnl/vnl_rational.h [code]High-precision rational numbers
core/vnl/vnl_rational_traits.cxx [code]
core/vnl/vnl_rational_traits.h [code]Numeric traits for vnl_rational
core/vnl/vnl_real.h [code]Functions to return the real parts of complex arrays, vectors, matrices
core/vnl/vnl_real_npolynomial.cxx [code]Degree n real polynomial
core/vnl/vnl_real_npolynomial.h [code]Class for polynomials with N variables
core/vnl/vnl_real_polynomial.cxx [code]Evaluation of real polynomials - the implementation
core/vnl/vnl_real_polynomial.h [code]Evaluation of real polynomials
core/vnl/vnl_rotation_matrix.cxx [code]
core/vnl/vnl_rotation_matrix.h [code]Functions to create a 3x3 rotation matrix
core/vnl/vnl_sample.cxx [code]
core/vnl/vnl_sample.h [code]Easy ways to sample from various probability distributions
core/vnl/vnl_scalar_join_iterator.h [code]Database join on matrix columns
core/vnl/vnl_scalar_join_iterator.txx [code]
core/vnl/vnl_sparse_lst_sqr_function.cxx [code]
core/vnl/vnl_sparse_lst_sqr_function.h [code]Abstract base for sparse least squares functions
core/vnl/vnl_sparse_matrix.h [code]Simple sparse matrix
core/vnl/vnl_sparse_matrix.txx [code]
core/vnl/vnl_sparse_matrix_linear_system.cxx [code]
core/vnl/vnl_sparse_matrix_linear_system.h [code]Vnl_sparse_matrix -> vnl_linear_system adaptor
core/vnl/vnl_sse.h [code]Support for Streaming SIMD Extensions to speed up vector arithmetic
core/vnl/vnl_sym_matrix.h [code]Contains class for symmetric matrices
core/vnl/vnl_sym_matrix.txx [code]
core/vnl/vnl_T_n.h [code]
core/vnl/vnl_tag.h [code]
core/vnl/vnl_trace.h [code]Calculate trace of a matrix
core/vnl/vnl_transpose.h [code]Efficient matrix transpose
core/vnl/vnl_unary_function.h [code]Abstract 1D map
core/vnl/vnl_unary_function.txx [code]Abstract 1D map vnl_unary_function is an abstract map between two types (read spaces)
core/vnl/vnl_vector.h [code]
core/vnl/vnl_vector.txx [code]New lite version adapted from Matrix.h
core/vnl/vnl_vector_fixed.h [code]Fixed length stack-stored vector
core/vnl/vnl_vector_fixed.txx [code]
core/vnl/vnl_vector_fixed_ref.h [code]Fixed size vnl_vector using user-supplied storage See vnl_matrix_fixed_ref for rationale
core/vnl/vnl_vector_fixed_ref.txx [code]
core/vnl/vnl_vector_ref.h [code]Vnl_vector using user-supplied storage
core/vnl/algo/dll.h [code]
core/vnl/algo/vnl_adaptsimpson_integral.cxx [code]
core/vnl/algo/vnl_adaptsimpson_integral.h [code]
core/vnl/algo/vnl_adjugate.h [code]
core/vnl/algo/vnl_adjugate.txx [code]
core/vnl/algo/vnl_algo_fwd.h [code]
core/vnl/algo/vnl_amoeba.cxx [code]
core/vnl/algo/vnl_amoeba.h [code]Nelder-Meade downhill simplex
core/vnl/algo/vnl_bracket_minimum.cxx [code]Function to bracket a minimum
core/vnl/algo/vnl_bracket_minimum.h [code]Function to bracket a minimum
core/vnl/algo/vnl_brent.cxx [code]
core/vnl/algo/vnl_brent.h [code]
core/vnl/algo/vnl_brent_minimizer.cxx [code]
core/vnl/algo/vnl_brent_minimizer.h [code]
core/vnl/algo/vnl_chi_squared.cxx [code]
core/vnl/algo/vnl_chi_squared.h [code]Name space for various chi-squared distribution functions
core/vnl/algo/vnl_cholesky.cxx [code]Vnl_cholesky
core/vnl/algo/vnl_cholesky.h [code]Decomposition of symmetric matrix
core/vnl/algo/vnl_complex_eigensystem.cxx [code]
core/vnl/algo/vnl_complex_eigensystem.h [code]Calculates eigenvalues and eigenvectors of a square complex matrix
core/vnl/algo/vnl_conjugate_gradient.cxx [code]
core/vnl/algo/vnl_conjugate_gradient.h [code]Real function minimization
core/vnl/algo/vnl_convolve.h [code]Templated 1D and 2D convolution
core/vnl/algo/vnl_convolve.txx [code]
core/vnl/algo/vnl_cpoly_roots.cxx [code]
core/vnl/algo/vnl_cpoly_roots.h [code]Finds roots of a univariate polynomial with complex coefficients
core/vnl/algo/vnl_determinant.cxx [code]
core/vnl/algo/vnl_determinant.h [code]Calculates the determinant of a matrix
core/vnl/algo/vnl_determinant.txx [code]
core/vnl/algo/vnl_discrete_diff.cxx [code]
core/vnl/algo/vnl_discrete_diff.h [code]Functions to compute jacobians of vnl_least_squares_functions
core/vnl/algo/vnl_fft.cxx [code]
core/vnl/algo/vnl_fft.h [code]
core/vnl/algo/vnl_fft_1d.h [code]In-place 1D fast Fourier transform
core/vnl/algo/vnl_fft_1d.txx [code]
core/vnl/algo/vnl_fft_2d.h [code]In-place 2D fast Fourier transform
core/vnl/algo/vnl_fft_2d.txx [code]
core/vnl/algo/vnl_fft_base.h [code]In-place n-D fast Fourier transform
core/vnl/algo/vnl_fft_base.txx [code]
core/vnl/algo/vnl_fft_prime_factors.h [code]Holds prime factor information
core/vnl/algo/vnl_fft_prime_factors.txx [code]
core/vnl/algo/vnl_fit_parabola.h [code]Function to fit a parabola to three point to predict the centre line
core/vnl/algo/vnl_gaussian_kernel_1d.cxx [code]
core/vnl/algo/vnl_gaussian_kernel_1d.h [code]Holds one half of a discretely sampled 1D gaussian distribution
core/vnl/algo/vnl_generalized_eigensystem.cxx [code]
core/vnl/algo/vnl_generalized_eigensystem.h [code]Solves the generalized eigenproblem Ax=La
core/vnl/algo/vnl_generalized_schur.cxx [code]
core/vnl/algo/vnl_generalized_schur.h [code]Solves the generalized eigenproblem det(t A - s B) = 0
core/vnl/algo/vnl_lbfgs.cxx [code]
core/vnl/algo/vnl_lbfgs.h [code]Limited memory Broyden Fletcher Goldfarb Shannon minimization
core/vnl/algo/vnl_lbfgsb.cxx [code]
core/vnl/algo/vnl_lbfgsb.h [code]Limited memory Broyden Fletcher Goldfarb Shannon constrained opt
core/vnl/algo/vnl_ldl_cholesky.cxx [code]Updateable Cholesky decomposition: A=LDL'
core/vnl/algo/vnl_ldl_cholesky.h [code]Updateable Cholesky decomposition: A=LDL'
core/vnl/algo/vnl_levenberg_marquardt.cxx [code]
core/vnl/algo/vnl_levenberg_marquardt.h [code]Levenberg Marquardt nonlinear least squares
core/vnl/algo/vnl_lsqr.cxx [code]
core/vnl/algo/vnl_lsqr.h [code]Linear least squares
core/vnl/algo/vnl_matrix_inverse.h [code]Calculates inverse of a matrix (wrapper around vnl_svd<double>)
core/vnl/algo/vnl_matrix_inverse.txx [code]
core/vnl/algo/vnl_matrix_update.h [code]Function to compute M=M+a*b'
core/vnl/algo/vnl_netlib.h [code]Declare in a central place the list of symbols from netlib
core/vnl/algo/vnl_orthogonal_complement.h [code]For computing the orthogonal complement to a linear subspace
core/vnl/algo/vnl_orthogonal_complement.txx [code]
core/vnl/algo/vnl_powell.cxx [code]
core/vnl/algo/vnl_powell.h [code]Powell minimizer
core/vnl/algo/vnl_qr.h [code]Calculate inverse of a matrix using QR
core/vnl/algo/vnl_qr.txx [code]
core/vnl/algo/vnl_real_eigensystem.cxx [code]
core/vnl/algo/vnl_real_eigensystem.h [code]Extract eigensystem of unsymmetric matrix M, using EISPACK
core/vnl/algo/vnl_rnpoly_solve.cxx [code]
core/vnl/algo/vnl_rnpoly_solve.h [code]Solves for roots of system of real polynomials
core/vnl/algo/vnl_rpoly_roots.cxx [code]
core/vnl/algo/vnl_rpoly_roots.h [code]Finds roots of a real polynomial
core/vnl/algo/vnl_scatter_3x3.h [code]3x3 scatter matrix
core/vnl/algo/vnl_scatter_3x3.txx [code]
core/vnl/algo/vnl_simpson_integral.cxx [code]
core/vnl/algo/vnl_simpson_integral.h [code]
core/vnl/algo/vnl_solve_qp.cxx [code]Functions to solve various forms of constrained quadratic programming
core/vnl/algo/vnl_solve_qp.h [code]Functions to solve various forms of constrained quadratic programming
core/vnl/algo/vnl_sparse_lm.cxx [code]
core/vnl/algo/vnl_sparse_lm.h [code]Sparse Levenberg Marquardt nonlinear least squares
core/vnl/algo/vnl_sparse_lu.cxx [code]
core/vnl/algo/vnl_sparse_lu.h [code]Solution of the linear system Mx = b for sparse matrices
core/vnl/algo/vnl_sparse_symmetric_eigensystem.cxx [code]
core/vnl/algo/vnl_sparse_symmetric_eigensystem.h [code]Find the eigenvalues of a sparse symmetric matrix
core/vnl/algo/vnl_svd.h [code]Holds the singular value decomposition of a vnl_matrix
core/vnl/algo/vnl_svd.txx [code]
core/vnl/algo/vnl_svd_economy.h [code]SVD wrapper that doesn't compute the left singular vectors, U
core/vnl/algo/vnl_svd_economy.txx [code]
core/vnl/algo/vnl_svd_fixed.h [code]Holds the singular value decomposition of a vnl_matrix_fixed
core/vnl/algo/vnl_svd_fixed.txx [code]
core/vnl/algo/vnl_symmetric_eigensystem.cxx [code]
core/vnl/algo/vnl_symmetric_eigensystem.h [code]Find eigenvalues of a symmetric matrix
core/vnl/io/vnl_io_bignum.cxx [code]
core/vnl/io/vnl_io_bignum.h [code]
core/vnl/io/vnl_io_diag_matrix.h [code]
core/vnl/io/vnl_io_diag_matrix.txx [code]
core/vnl/io/vnl_io_matrix.h [code]
core/vnl/io/vnl_io_matrix.txx [code]
core/vnl/io/vnl_io_matrix_fixed.h [code]
core/vnl/io/vnl_io_matrix_fixed.txx [code]
core/vnl/io/vnl_io_nonlinear_minimizer.cxx [code]
core/vnl/io/vnl_io_nonlinear_minimizer.h [code]
core/vnl/io/vnl_io_rational.cxx [code]
core/vnl/io/vnl_io_rational.h [code]
core/vnl/io/vnl_io_real_npolynomial.cxx [code]
core/vnl/io/vnl_io_real_npolynomial.h [code]
core/vnl/io/vnl_io_real_polynomial.cxx [code]
core/vnl/io/vnl_io_real_polynomial.h [code]
core/vnl/io/vnl_io_sparse_matrix.h [code]
core/vnl/io/vnl_io_sparse_matrix.txx [code]
core/vnl/io/vnl_io_sym_matrix.h [code]
core/vnl/io/vnl_io_sym_matrix.txx [code]
core/vnl/io/vnl_io_vector.h [code]
core/vnl/io/vnl_io_vector.txx [code]
core/vnl/io/vnl_io_vector_fixed.h [code]
core/vnl/io/vnl_io_vector_fixed.txx [code]
core/vnl/xio/vnl_xio_matrix_fixed.h [code]
core/vnl/xio/vnl_xio_matrix_fixed.txx [code]
core/vnl/xio/vnl_xio_quaternion.h [code]
core/vnl/xio/vnl_xio_quaternion.txx [code]
core/vnl/xio/vnl_xio_vector.h [code]
core/vnl/xio/vnl_xio_vector.txx [code]
core/vnl/xio/vnl_xio_vector_fixed.h [code]
core/vnl/xio/vnl_xio_vector_fixed.txx [code]

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