ceres-solver/ceres-solver

Health v2 · maintenance only

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4547 stars · 1137 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Ceres Solver is an open-source C++ library for modeling and solving large-scale non-linear optimization problems, including bounded non-linear least squares and general unconstrained optimization. It is a mature, performant library used in production at Google since 2010, featuring automatic differentiation, robust loss functions, manifold support, and multiple trust-region solvers.

Use cases

• solve large non-linear least squares problems
• perform bundle adjustment for structure from motion
• fit curves with robust loss functions to handle outliers
• optimize parameters on manifolds like rotation matrices
• solve general unconstrained optimization problems
• use automatic differentiation instead of hand-coded derivatives

When to choose

• you need a mature, production-tested C++ optimization library
• you are doing bundle adjustment or SLAM-style vision problems
• you want automatic, numeric, or analytic derivatives in any combination
• you need sparse solvers for very large problems

When to avoid

• you need linear programming or constrained optimization beyond simple bounds
• you want a pure Python or high-level scripting solution
• your problem is small and a simpler solver suffices
• you cannot use C++17 or manage CMake/Eigen dependencies

Facets

library · maturity stable

math machine-learning computer-vision computer-vision mathematics robotics cpp windows cross-platform nonlinear-least-squares bundle-adjustment trust-region levenberg-marquardt automatic-differentiation optimization algorithms linux macos android

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