Shaw, C. B., Prakash, J., Pramanik, M., Yalavarthy, P. K., & Engineering, S. o. C. a. B. (2014). Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography.

Shaw, Calvin B., Jaya Prakash, Manojit Pramanik, Phaneendra K. Yalavarthy, و School of Chemical and Biomedical Engineering. Least Squares QR-based Decomposition Provides an Efficient Way of Computing Optimal Regularization Parameter in Photoacoustic Tomography. 2014.

Shaw, Calvin B., et al. Least Squares QR-based Decomposition Provides an Efficient Way of Computing Optimal Regularization Parameter in Photoacoustic Tomography. 2014.