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Bertini 3.3.0 documentation
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Bertini 3.3.0 documentation
  • 👋 Welcome to Bertini 2
  • 🔦 Tutorials
    • Formulating and solving systems
      • 🌐 Finding all the solutions
      • 🎯 Solving a system with ZeroDimSolver
      • 📍 A real point on every component (the Trott curve)
      • 🎯 Critical points by rank deficiency (a null vector, not a determinant)
      • 🧮 Eigenvalues by homotopy continuation
      • 🔁 Parameter homotopy: solve once, re-solve many times
      • 🧱 Build a system in pieces with clone and concatenate
      • 🎲 Randomize an overdetermined system
      • 🪢 Author your own start system: a product of linears
      • 🧮 Canonical ordering, and opting out
      • 🗃️ A dataframe of solutions: filtering and plotting with pandas
    • Manipulating solutions
      • ✂️ Intro to slices
      • 🛷 Move a slice, hold the system fixed
    • Solver settings & multiprecision
      • ⚙️ Carrying settings across related solves
      • 🪢 Crossed paths: when two paths become one
      • 🎚️ When double precision is not enough
      • 🔬 Precision models: double, multiple, adaptive
    • Parallelism in Python
      • 🚀 Solving at scale: many cores, many machines
      • ⚗️ A bistable reaction network, mapped in parallel
    • Observing, metadata, and more
      • 👀 Watching the paths: observers and path data
      • 🎨 The continuation cartoon, from real data — and seeing precision change
      • 🖼️ The classic continuation cartoon, from real data
    • Performance and benchmarking
      • ⏱️ Timing Bertini 1 vs Bertini 2
    • The record-keeping system
      • Automatic record keeping
      • Chained homotopies: provenance all the way back
    • Doing things manually
      • ♻️ Evaluation of cyclic-\(n\) polynomials
      • 🎮 Using an endgame to compute singular endpoints
      • 🛤 Tracking to nonsingular endpoints
  • 🌟 Everyday API
  • Multiprecision numbers and NumPy
  • 🔎 Full API reference
    • bertini.algorithms
      • bertini.algorithms.zerodim
    • bertini.config
    • bertini.endgame
    • bertini.logging
    • bertini.multiprec
    • bertini.nag_algorithm
    • bertini.operators
    • bertini.parallel
    • bertini.parse
    • bertini.random
    • bertini.records
    • bertini.symbolics
    • bertini.sympy_bridge
    • bertini.system
      • bertini.system.start_system
    • bertini.tracking
      • bertini.tracking.observers
        • bertini.tracking.observers.amp
        • bertini.tracking.observers.double
        • bertini.tracking.observers.multiple
    • bertini.windows_dll_manager
  • 📚 Bibliography
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Parallelism in Python¶

  • 🚀 Solving at scale: many cores, many machines
  • ⚗️ A bistable reaction network, mapped in parallel
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🚀 Solving at scale: many cores, many machines
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