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- W2393009780 abstract "In this paper,we propose a new modified damped Newton algorithm for solving the objective function minimization problems.In the algorithm,if the Hessian matrix of the objective function is positive definite and the gradient of the objective function doesn't equal zero,we use the Newton direction as the search direction;if the Hessian matrix is neither positive definite nor singular,and the scalar of the transposed vector of the gradient of the objective function and the Newton direction is more than zero,we use the negative Newton direction as the search direction;if the Hessian matrix is singular or the scalar of the transposed vector of the gradient of the objective function and the Newton direction equals zero,we use the negative gradient as the search direction.So the search direction ensure that the objective function has always been a decline in direction.The algorithm is shown to converge globally." @default.
- W2393009780 created "2016-06-24" @default.
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- W2393009780 date "2009-01-01" @default.
- W2393009780 modified "2023-09-24" @default.
- W2393009780 title "An modified damped Newton method" @default.
- W2393009780 hasPublicationYear "2009" @default.
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