Title :
Constrained quadratic optimization problems with applications
Author :
Hasan, Mohammed A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Duluth, MN, USA
Keywords :
gradient methods; independent component analysis; principal component analysis; quadratic programming; singular value decomposition; stability; Lagrangian function; bi-iteration; constrained quadratic optimization problems; control theory; convergent power-like methods; cost function; diagonal matrix; eigenvalue problem; gradient algorithms; inverse Rayleigh quotient; learning algorithms; minor component analysis; orthogonality; power method; principal component analysis; principal singular component analysis; principal singular subspace; self stabilizing algorithm; self-normalizing neural networks; singular value decomposition; singular vectors; subspace methods; weighted Rayleigh quotient; Algorithm design and analysis; Application software; Constraint optimization; Cost function; Eigenvalues and eigenfunctions; Lagrangian functions; Neural networks; Principal component analysis; Signal processing algorithms; Singular value decomposition;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1469939