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  • JuliaHub
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  • 21:31 (UTC -04:00)

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Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Quickdraw

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  1. DiffEqBase.jl DiffEqBase.jl Public

    Forked from SciML/DiffEqBase.jl

    The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

    Julia

  2. LinearSolve.jl LinearSolve.jl Public

    Forked from SciML/LinearSolve.jl

    LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

    Julia

  3. NonlinearSolve.jl NonlinearSolve.jl Public

    Forked from SciML/NonlinearSolve.jl

    High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

    Julia

  4. SciMLBase.jl SciMLBase.jl Public

    Forked from SciML/SciMLBase.jl

    The Base interface of the SciML ecosystem

    Julia

  5. SciML/NonlinearSolve.jl SciML/NonlinearSolve.jl Public

    High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

    Julia 276 54

  6. SciML/LinearSolve.jl SciML/LinearSolve.jl Public

    LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

    Julia 268 73