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A common interface to nonlinear optimization algorithms, with and without derivatives.

Tools for examining and comparing numerical methods for ordinary differential equations.

Just-in-time compilation of supported Python numerical functions using LLVM.

Numerical derivatives, gradients, Jacobians, and Hessians with step-selection methods.

Evaluation of numerical array expressions with a specialized execution engine.

An operator-splitting numerical solver for convex quadratic programs.

Algebraic multigrid methods for solving large sparse linear systems.

Symbolic and numerical tools for deriving and simulating multibody dynamics.

Model-order reduction tools for parameterized dynamical systems and numerical models.

Python bindings for coordinate transformations and geodetic calculations in PROJ.

Tensor expression graphs, automatic differentiation, and compilation for numerical computation.

Analysis and design tools for linear and nonlinear control systems.