Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yueting Yang"'
Publikováno v:
Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-11 (2020)
The spectral conjugate gradient methods are very interesting and have been proved to be effective for strictly convex quadratic minimisation. In this paper, a new spectral conjugate gradient method is proposed to solve large-scale unconstrained optim
Publikováno v:
Journal of Inequalities and Applications, Vol 2019, Iss 1, Pp 1-13 (2019)
In this paper, we present a new conjugate gradient method using an acceleration scheme for solving large-scale unconstrained optimization. The generated search direction satisfies both the sufficient descent condition and the Dai–Liao conjugacy con
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
We propose a derivative-free trust region algorithm with a nonmonotone filter technique for bound constrained optimization. The derivative-free strategy is applied for special minimization functions in which derivatives are not all available. A nonmo
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2015 (2015)
A new trust region method is presented, which combines nonmonotone line search technique, a self-adaptive update rule for the trust region radius, and the weighting technique for the ratio between the actual reduction and the predicted reduction. Und
Publikováno v:
J. Appl. Math.
Journal of Applied Mathematics, Vol 2014 (2014)
Journal of Applied Mathematics, Vol 2014 (2014)
A new self-adaptive rule of trust region radius is introduced, which is given by a piecewise function on the ratio between the actual and predicted reductions of the objective function. A self-adaptive trust region method for unconstrained optimizati