二阶收敛性的英文

• quadratic convergence

• "二阶"英文翻译    second order
• "收敛"英文翻译    weaken or disappear
• "性"英文翻译    nature; character; dispositi ...
• "收敛性" 英文翻译 :    astringency; astringent nature; convergence; convergency
• "收敛药,收敛性的" 英文翻译 :    adstringens
• "半收敛性的" 英文翻译 :    gubastringent
• "传输收敛性" 英文翻译 :    physical media specific-transmission convergence
• "殆必收敛性" 英文翻译 :    almost sure convergence
• "单调收敛性" 英文翻译 :    monotonic convergence
• "级数收敛性" 英文翻译 :    series convergence
• "绝对收敛性" 英文翻译 :    absolute convergence
• "偶然收敛性" 英文翻译 :    accidental convergence
• "收敛性的" 英文翻译 :    astrictive; astringent; constringent; styptic
• "收敛性地" 英文翻译 :    astringently
• "收敛性加速" 英文翻译 :    konvergenzbeschleunigung convergence acceleration
• "收敛性检定" 英文翻译 :    test for convergence
• "收敛性检验" 英文翻译 :    test of convergence
• "收敛性判别" 英文翻译 :    konvergenzkriterium convergence criterion
• "收敛性判定" 英文翻译 :    convergence test
• "收敛性子层" 英文翻译 :    cs convergence sublayer
• "算法收敛性" 英文翻译 :    algorithm convergence
• "同等收敛性" 英文翻译 :    equiconvergence
• "线性收敛性" 英文翻译 :    linear convergence
• "振动收敛性" 英文翻译 :    oscillatory convergence
• "超线性收敛性" 英文翻译 :    superlinear convergence

• Newton method is favorable for the reason that it has two - convergent ratio under some conditions
  众所周知， newton法在一定的条件下具有二阶收敛性。
• Under appropriate conditions , we obtain the global and quadratic convergence of the proposed method
  在适当的条件下，我们证明了算法的全局收敛性和二阶收敛性。
• Fan and yuan [ 6 ] uses another method that has proved under the local error bound condition , if we choice the parameter as the norm of the function , the sequence produced by the levenberg - marquardt method converges quadraticlly to a solution of the system of the equations
  如此选取参数有一些不足之处。范、袁在[ 6 ]中用另一种方法证明了当迭代参数为当前迭代点处函数值的模时， levenberg - marquardt方法具有二阶收敛性。
• It exploits the structured of the hessian matrix of the objective function sufficiently . an attractive property of the structured bfgs method is its local superlinear / quadratic convergence property for the nonzero / zero residual problems . the local convergence of the structured bfgs method has been well established
  它们充分利用了目标函数的hesse矩阵的结构以提高算法的效率，该算法的显著优点是对于零残量问题具有二阶收敛性而对于非零残量问题具有超线性收敛性。
• Here we consider the choice of the parameter as the norm of the gratitude of the function . we prove under the local error bound condition that the levenberg - marquardt method with this parameter converges quadraticlly to a solution of the system of the equations . and we also present two globally convergent levenberg - marquardt algorithms using line search techniques and trust region approach respectively
  我们提出选取迭代参数为当前迭代点处函数梯度的模，在局部误差界条件下， levenberg - marquardt方法依然具有二阶收敛性，并考虑了线搜索和信赖域技巧的levenberg - marquardt方法，分析了其全局收敛性。