采用拟牛顿优化方法，较好地解决了大规模参数优化问题。
The Quasi-Newton method is applied to solving the second problem, which is suitable to optimizing large number of parameters.
针对RLP算法的数值不稳定性，基于拟牛顿优化方法，提出了一种稳健的自适应FIR滤波算法。
A robust adaptive algorithm for FIR filters based on the quasi-Newton class of optimization methods is derived, which can be regarded as the improvement of RLP algorithm on the problem of stability.
结合牛顿法与子空间迭代的思想，给出了一种求解大型优化问题的方法。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
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