Abstract: New fast algorithm for the inverse of the matrix in generalized predictive control(GPC) is presented to reduce the computational load of matrix inverse in GPC, and improve the real-time ...

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 ...

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 ...

Abstract: This paper addresses the designing a high speed MIMO LTE receiver which is based on matrix inversion algorithm using floating point DSP. Matrix operations are the most costly computational ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a ...

A matrix multiplied with its inverse gives the identity matrix. This function finds the inverse of a 2x2 and 3x3 matrix. If the determinant of a matrix is 0, its inverse does not exist.

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...