def solve_matrix(): try: # Read matrix size size = int(entry_size.get()) if size <= 0: raise ValueError("Matrix size must be a positive integer.") # Read coefficients ...

This project involves the development of a program to read a sparse matrix from an MM file, convert it to Compressed Sparse Row (CSR) format, and then solve for vector x using Jacobi's method.

Abstract: The sparse matrix solver has become a bottleneck in simulation program with integrated circuit emphasis (SPICE)-like circuit simulators. It is difficult to parallelize the solver because of ...

The underlying solver algorithms used in power grid (PG) simulation today are derivations of circuit simulation algorithms first developed many decades ago. In fact, the 40 th anniversary of SPICE (a ...

Most companies used to be concerned that models would reveal their secret intellectual property (IP). But now that it’s possible to encode the details, most analog semiconductor companies provide ...

Abstract: We present a new numerical modelling approach for frequency-domain finite-difference (FDFD) wave simulations. The new approach is developed as an extension to standard FDFD modelling schemes ...

High-frequency electromagnetic simulation has evolved from “wow, now I can see how electromagnetic fields behave” to needing to know how various EM fields interact in large, complex systems. During ...

Chinese researchers develop high-precision scalable analog matrix computing chip based on resistive memory, realizing for the first time an analog computing system whose accuracy rivals that of ...