Contour

Extra Credit builds an outline of Contour's docs the first time your work uses it. Until then, start at the official documentation.

• Latexify Convert julia objects to LaTeX equations, arrays or other environments.
• DiffEqCallbacks A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
• FFMPEG_jll
• NonlinearSolve High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and
• SimpleNonlinearSolve High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and
• LinearSolve LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add
• GPUArrays Reusable array functionality for Julia's various GPU backends.
• MaybeInplace Rewrite Inplace Operations to be OOP if needed
• Glob Posix-compliant file name pattern matching
• Opus_jll
• Graphs An optimized graphs package for the Julia programming language
• HostCPUFeatures