Graph-based hierarchical retrieval of circuit diagrams achieves 0.881 top-5 type-level accuracy, beating image-based baselines (best 0.627), by extracting components and nets from images and comparing graph structures.
Curl-free positive definite form of time-harmonic Maxwells equations well-suitable for iterative numerical solving
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abstract
A new form of time-harmonic Maxwells equations is developed and proposed for numerical modeling. It is written for the magnetic field strength, electric displacement, vector potential and the scalar potential. There are several attractive features of this form. The first one is that the differential operator acting on these quantities is positive. The second is absence of curl operators among the leading order differential operators. The Laplacian stands for the leading order operator in the equations for the magnetic field strength, vector potential and the scalar potential, while the gradient of divergence stands for the electric displacement. The third feature is absence of space varied coefficients in the leading order differential operators that provides diagonal domination of the resulting matrix of the discretized equations. A simple example is given to demonstrate the applicability of this new form of time-harmonic Maxwells equations.
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Circuit Diagram Retrieval Based on Hierarchical Circuit Graph Representation
Graph-based hierarchical retrieval of circuit diagrams achieves 0.881 top-5 type-level accuracy, beating image-based baselines (best 0.627), by extracting components and nets from images and comparing graph structures.