Abstract: We present an algorithm to estimate a single entry of the inverse of a matrix; it is derived using a bidirectional search on a flow graph. This method has immediate application in analyzing ...

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 challenging tasks in numerical ...

1 College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China. 2 College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, China. 3 ...

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 ...

AI models have, within hours, created more efficient wireless chips through deep learning, but it is unclear how their 'randomly shaped' designs were produced. When you purchase through links on our ...

Here, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location ...

The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.

1 School of Geological Engineering and Geomatics, Chang’an University, Xi’an, China 2 International College, Northwestern Polytechnical University, Xi’an, China Introduction: Young’s modulus and shear ...