Code covered by the BSD License
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cod (A, tol)
COD complete orthogonal decomposition of a full matrix A = U*R*V'
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cod_qmult (Q, X, method)
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cod_sparse (A, arg)
COD_SPARSE complete orthogonal decomposition of a sparse matrix A = U*R*V'
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factorize (A,strategy,burble)
FACTORIZE an object-oriented method for solving linear systems
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inverse (A, varargin)
INVERSE factorized representation of inv(A) or pinv(A).
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reset_rand
RESET_RAND resets the state of rand
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rq (A, m, n)
RQ economy RQ or QL factorization of a full matrix A.
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test_accuracy
TEST_ACCURACY test the accuracy of the factorize object
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test_all (performance)
TEST_ALL test the Factorize package (factorize, inverse, and related)
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test_all_cod
TEST_ALL_COD test the COD factorization
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test_all_svd
TEST_ALL_SVD tests the svd factorization method for a range of problems.
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test_cod (A, tol)
TEST_COD test the COD, COD_SPARSE and RQ functions
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test_disp
TEST_DISP test the display method of the factorize object
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test_errors
TEST_ERRORS tests error handling for the factorize object methods
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test_factorize (A)
TEST_FACTORIZE test the accuracy of the factorization object
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test_function (A, strategy, b...
TEST_FUNCTION test various functions applied to a factorize object
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test_functions
TEST_FUNCTIONS test various functions applied to a factorize object
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test_performance
TEST_PERFORMANCE compare performance of factorization/solve methods.
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test_svd (A)
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factorization
FACTORIZATION a generic matrix factorization object
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factorization_chol_dense
FACTORIZATION_CHOL_DENSE A = R'*R where A is full and symmetric pos. def.
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factorization_chol_sparse
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factorization_cod_dense
FACTORIZATION_COD_DENSE complete orthogonal factorization: A = U*R*V' where A is full.
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factorization_cod_sparse
FACTORIZATION_COD_SPARSE complete orthogonal factorization: A = U*R*V' where A is sparse.
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factorization_ldl_dense
FACTORIZATION_LDL_DENSE P'*A*P = L*D*L' where A is sparse and full
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factorization_ldl_sparse
FACTORIZATION_LDL_SPARSE P'*A*P = L*D*L' where A is sparse and symmetric
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factorization_lu_dense
FACTORIZATION_LU_DENSE P*A = L*U where A is square and full.
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factorization_lu_sparse
FACTORIZATION_LU_SPARSE P*A*Q = L*U where A is square and sparse.
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factorization_qr_dense
FACTORIZATION_QR_DENSE A = Q*R where A is full.
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factorization_qr_sparse
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factorization_qrt_dense
FACTORIZATION_QRT_DENSE A' = Q*R where A is full.
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factorization_qrt_sparse
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factorization_svd
FACTORIZATION_SVD A = U*S*V'
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Contents.m
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Contents.m
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factorize_demo.m
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fdemo.m
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THE FACTORIZE OBJECT for solv...
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View all files
from
Don't let that INV go past your eyes; to solve that system, FACTORIZE!
by Tim Davis
A simple-to-use object-oriented method for solving linear systems and least-squares problems.
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| Contents.m |
% Test code for the FACTORIZE object.
%
% To run all the tests, use test_all. The SPQR mexFunction from SuiteSparse
% is required. The FACTORIZE method works without SPQR, but it will not use
% COD for sparse matrices in that case (which this test relies upon). The
% output of this test in MATLAB R2011a is given in test_all.txt.
%
% Files
% reset_rand - resets the state of rand
% test_accuracy - test the accuracy of the factorize object
% test_all - test the Factorize package (factorize, inverse, and related)
% test_all_cod - test the COD factorization
% test_all_svd - tests the svd factorization method for a range of problems.
% test_cod - test the COD, COD_SPARSE and RQ functions
% test_disp - test the display method of the factorize object
% test_errors - tests error handling for the factorize object methods
% test_factorize - test the accuracy of the factorization object
% test_function - test various functions applied to a factorize object
% test_functions - test various functions applied to a factorize object
% test_performance - compare performance of factorization/solve methods.
% test_svd - test factorize(A,'svd') and factorize(A,'cod') for a given matrix
% Copyright 2011, Timothy A. Davis, University of Florida
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