在MATLAB中仿真LSMR(Least Squares Minimal Residual)算法,可以按照以下步骤进行: 1. 理解LSMR算法的原理 LSMR算法是一种用于求解大规模稀疏线性最小二乘问题的迭代算法。它结合了GMRES(Generalized Minimum Residual)算法和共轭梯度法的优点,通过迭代的方式逐步逼近最小二乘解。 2. 在MATLAB中实现LSMR算法的代码 在MATL...
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LSMR:最小二乘问题的迭代算法:由 David Fong 和 Michael Saunders 开发的 LSQR 算法的官方继承者。-matlab开发 开发技术 - 其它 南方**有你上传7KB文件格式zip 提出了求解线性系统和线性最小二乘系统的迭代方法。 该方法基于 Golub-Kahan 双对角化过程。 它在分析上等效于应用于正规方程的 MINRES 标准方法。
The main purpose of the SLIM fork of LSMR is to ensure compatibility with SPOT and pSPOT as well as the distributed array type introduced by the MATLAB Parallel Computing Toolbox. This means that a standard call to LSMR x = lsmr(A,b) should accept A of the following types: numeric dist...
The photoacoustic data is transferred to IOT based on the platform of MATLAB and is quickly processed through the regularization method of Krylov space (the widely used method is LSQR). In order to solve the problem of Krylov space uncertainty, Krylov space dimension selection, and the minimum ...