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Approximate analytical solution of linear or nonlinear ordinary differential equations (ODE) can be obtained by Adomian decomposition (ADM) method. The nonlinearities in the ODEs are approximated by Adomian polynomials and a rapidly convergent sequence of approximate functions will be obtained as a solution. The ADM is widely used for numerical simulations of real-world systems in the applied sciences...
This paper proposes a new method of decoupling and subdividing electrical circuits, containing power-electronics devices, in order to achieve fast and accurate real-time simulation. In this technique, each state variable can be discretized using different discretization methods. Combining implicit and explicit ODE solvers, state-space equations are decoupled while remaining accurate and stable. Unlike...
Large power systems are complex and real-time modeling of the grid for electromagnetic simulation (EMT) studies is impractical. In general, there are methods that reduce large power system into an equivalent network that requires less computational resource, while preserving electromechanical (low frequency) and high frequency behavior of the original system. This can be achieved by modeling the area...
This paper studies on mine the image semantic information through Non-negative Matrix Factorization, which is a powerful computing tools in many applications. Non-negative matrix factorization is a low-rank matrix approximation method for finding two low-rank nonnegative matrices and the product of which can provide a good approximation to the original non-negative matrix. Firstly, a multimodal training...
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