不适定问题的迭代Tikhonov正则化方法，介绍了Tikhonov正则化方法解决不定适问题-An iterative Tikhonov regularization method for ill posed problems is introduced, and the Tikhonov regularization method is introduced to solve the ill posed problem

解病态方程的正则化方法、逆问题不适定解的处理与正则化(Regularization method for solving ill conditioned equations)

神经网络正则化样例;正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。(Regularization (regularization) means that in linear algebra theory, ill posed problems are usually defined by a set of linear algebraic equations, and this se

正则化学习机，通过对学习过程施加光滑约束，将不适定学习问题转化为适定学习问题，从而避免伪逆的数值不稳定性。(Regularized Extreme Learning Machine)

地磁向下延拓为不适定问题，各种正则化方法，如l1正则化，吉普诺夫正则化等，积分迭代和二乘法也是解决这类问题的迭代方法