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RRAM-based analog computing system rapidly solves matrix equations with high precision

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

Random Walks and Matrix Equations in Stochastic Processes

Random walks serve as fundamental models in the study of stochastic processes, simulating phenomena ranging from molecular diffusion to queuing networks and financial systems. Their inherent ...
Electronics Weekly

Chinese chip delivers analogue computation as accurate as digital

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

Chinese Scientists Develop Superfast Analogue Chip, Claim Future Versions Could Be 1,000 Times Faster Than Top GPUs

Designed by Chinese scientists at Peking University, the analogue chip utilises resistive memory materials that may enable ...
JSTOR Daily

Oscillation of Nonlinear Systems of Matrix Differential Equations

For systems of matrix equations of the form $$U' = A(t, U, V)V,\quad V' = - B(t, U, V)$$ it is shown here that the oscillation problem can be reduced to the ...
JSTOR Daily

Solving Sylvester Equation with Complex Symmetric Semi-Definite Positive Coefficient Matrices

Combination of real and imaginary parts (CRI) works well for solving complex symmetric linear systems. This paper develops a generalization of CRI method to determine the solution of Sylvester matrix ...
Simon Fraser University

Solving Simultaneous Nonlinear Equation Systems

You can use a SOLVE statement to solve the nonlinear equation system for some variables when the values of other variables are given. Consider the demand and supply model shown in the preceding ...