迭代参数 meaning in Chinese
iteration parameter
iterative parameter
Examples
- A weighted global iteration parametric kalman filter algorithm
一类加权全局迭代参数卡尔曼滤波算法 - The new method ameliorates the process of old iterative method and add a new iterative parameter : convergence factor , which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor
该算法改进已有的迭代过程，加入了新的迭代参数：收敛因子，通过改变迭代进程和调整收敛因子来提高重建图像的质量。 - 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。 - Recently , yamashita and fukushima [ 4 ] show that the sequence produced by the levenberg - marquardt method converges quadraticlly to the solution set of the equations , if the parameter is chosen as the quadratic norm of the function and under the weaker condition than the nonsingularity that the function provides a local error bound near the solution . however , the quadratic term has some unsatisfactory properties
最近yamashita & fukushima [ 4 ]提出，在弱于非奇异性条件的局部误差界条件下，如果选取的迭代参数为当前迭代点处函数值模的平方，则levenberg - marquardt方法产生的迭代点列二阶收敛于方程组的解集。 - 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。