Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal …
The Handbook of Linear Algebra provides comprehensive coverage of linear algebra concepts, applications, and computational software packages in an easy-to-use handbook …
A large class of problems in symbolic computation can be expressed as the task of computing some polynomials; and arithmetic circuits form the most standard model for …
B Luijten, N Chennakeshava, YC Eldar… - Ultrasound in medicine …, 2023 - Elsevier
Medical ultrasound imaging relies heavily on high-quality signal processing to provide reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …
We present parallel and sequential dense QR factorization algorithms that are both optimal (up to polylogarithmic factors) in the amount of communication they perform and just as …
Y Tian, Y Zhao, S Liu, Q Li, W Wang, J Feng, J Guo - Nanophotonics, 2022 - degruyter.com
Photonic computation has garnered huge attention due to its great potential to accelerate artificial neural network tasks at much higher clock rate to digital electronic alternatives …
R Yuster, U Zwick - ACM Transactions On Algorithms (TALG), 2005 - dl.acm.org
Let A and B two n× n matrices over a ring R (eg, the reals or the integers) each containing at most m nonzero elements. We present a new algorithm that multiplies A and B using O (m …
Abstract In Demmel et al.(Numer. Math. 106 (2), 199–224, 2007) we showed that a large class of fast recursive matrix multiplication algorithms is stable in a normwise sense, and that …