Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography.
针对闪光照相系统成像信噪比低的特点，提出了正则化预优约束共轭梯度算法(RPCCG)。
Based on idea of homotopy mapping, an improved gradient regularization algorithm was developed.
基于同伦映射的思想，改进了求解非线性反问题的梯度正则化算法。
Based on TIKHONOV regularization theorem, a new regularizer, which has explicitly physical meaning, is chosen to mitigate the ill-condition of the normal matrix.
基于TIK - HONOV正则化原理，选择了一种具有物理意义的正则化矩阵，以减弱法矩阵的病态性。
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