超线性收敛性 meaning in Chinese
superlinear convergence
Examples
- We also show that the unit steplength is essentially accepted
并证明算法的全局收敛性和超线性收敛性。 - Under mild conditions , we prove the global and superlinear convergence of the method
在较弱的条件下，得到了算法的全局收敛性及其超线性收敛性。 - Using the comparison principle , it is proved that the proposed method is of superlinear convergence
利用比较原理，间接证明该算法是一种具有超线性收敛性的近似牛顿法。 - Moreover , we show that if the second order sufficient conditions holds at a solution of the problem , then the method is 2 - step superlinearly convergent
而且，我们证明：若在问题的解处二阶充分条件成立，则相应的sqp算法具有2步超线性收敛性。 - Lc1 unconstrained optimization problem was discussed in the second chapter , giving a new trust region method and proving its global convergence and superlinear convergence under some mild conditions
给出了一个新的信赖域算法，并在一定的条件下证明了算法的全局收敛性和局部超线性收敛性。