Passivity-preserving model reduction for descriptor systems via spectral factorization
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Updated
Mar 1, 2024 - Julia
Passivity-preserving model reduction for descriptor systems via spectral factorization
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Manipulation of generalized state-space (descriptor) system representations using Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Geometric Numerical Integration in Julia
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