由于引进了新的逼近技术，该方法具有全局收敛性和局部超线性收敛性。
The global convergence and local superlinear convergence of the method are established by introducing new approximation techniques.
本文先把问题转化为一个随机非线性规划问题，然后用逼近技术给出一个简单的求解方法。
We first formulate the problem as a stochastic nonlinear programming problem and then propose a new simple method for solving it via some approximation techniques.
CBRCMS基于大量的历史优良配方，以色度迭代逼近技术作为配色精度的基本保证，并将其作为CBR配方复用的主要方法。
Based on multiple excellent recipes, CBRCMS takes chroma iterative approximation technology as a crucial factor ensuring color-matching precision, and treats it as a key method of CBR multiplexing.
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