Non-orthogonal joint diagonalization with diagonal constraints
Author(s) -
Guoxu Zhou,
Zuyuan Yang,
Zongze Wu,
Jinlong Zhang
Publication year - 2008
Publication title -
progress in natural science materials international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 63
eISSN - 1745-5391
pISSN - 1002-0071
DOI - 10.1016/j.pnsc.2008.01.019
Subject(s) - diagonalizable matrix , diagonal , joint (building) , convergence (economics) , mathematics , computer science , function (biology) , mathematical optimization , algorithm , conjugate gradient method , eigenvalues and eigenvectors , symmetric matrix , geometry , economic growth , physics , quantum mechanics , architectural engineering , engineering , economics , evolutionary biology , biology
Joint diagonalization has attracted much attention and many algorithms have been presented so far.However,some ambiguities still exist in the objective functions for joint diagonalization.In this paper,some criterions are proposed to eliminate the above ambiguities at first,and then a new objective function which satisfies these criterions is presented.The new objective function introduces diagonal con-straints for joint diagonalization,thus the trivial and unbalance solutions are excluded easily.Exactly jointly diagonalizable theorem is built to interpret the reasonableness of the new objective function and the conjugate gradient method is used to provide fast and reliable convergence.Finally,non-orthogonal joint diagonalization algorithm with diagonal constraints(DDiag)is developed.Simulations show that DDiag is ecient and robust.
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