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, and 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.