Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

Add the Householder algorithm, which is generally considered superior to Gram-Schmidt, especially for ill-conditioned matrices. I'm not sure if there is a big difference in arbitrary-precision ...

One of the main uses of QR decomposition A=QR is in solving the linear least squares problem Ax=b. In order to solve this problem, the only access we need of Q is the ability to apply it (or its ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

1 Power Dispatching and Control Center of Guizhou Power Grid Co., Ltd., Guiyang, China 2 State Key Laboratory of HVDC, Electric Power Research Institute, China Southern Power Grid Co., Ltd. (CSG), ...

1 Merchant Marine College, Shanghai Maritime University, Shanghai, China 2 Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China Selecting an optimal subset of ...

Abstract: LTE has become a hotspot of research and application in high speed broadband wireless access. MIMO signal detecting algorithms are necessary process in LTE receiver design. One of the main ...