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Showing 1 to 5 of 5 for “"Differential equation solvers"”.

  1. On the Efficient and Accurate Application of Partial Differential Equation Solvers of Maxwell's Equations in the Time Domain

    … which may be more consistent with Maxwell's equations and more accurate than the previous relation. The new field/voltage relation given is derived qualitatively by comparing the symmetric condensed node TLM algorithm with the Yee algorithm. It is demonstrated numerically that this new …

    uiuc Repository record for On the Efficient and Accurate Application of Partial Differential Equation Solvers of Maxwell's Equations in the Time Domain (opens in a new tab)

  2. Assessing and Improving Garbage Collection Performance in the Julia Programming Language

    … with reports of poor GC performance ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a …

    mit Repository record for Assessing and Improving Garbage Collection Performance in the Julia Programming Language (opens in a new tab)

  3. Numerical green's function in surface integral equation method and hydrodynamic model for solar cell analysis

    … Green's function (NGF) in the surface integral equation (SIE) method for inhomogeneous media have been addressed, including the process of solving for the NGF from differential equation, the integrating of NGF with SIE, the NGF based augmented-electric field integral equation (A-EFIE) for …

    uiuc Repository record for Numerical green's function in surface integral equation method and hydrodynamic model for solar cell analysis (opens in a new tab)

  4. On Efficient Training & Inference of Neural Differential Equations

    … that automatically adapt to new problems. Neural Differential Equations have emerged as a popular modeling framework, enabling ML practitioners to design neural networks that can adaptively modify their depth based on the input problem. Neural Differential Equations combine differential equations …

    mit Repository record for On Efficient Training & Inference of Neural Differential Equations (opens in a new tab)