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| | algorithms.hpp |
| | Algorithm tags: carry the numerics, not the mathematics.
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| | problems.hpp |
| | Problem types: carry the mathematics, not the numerics.
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| | sample.hpp |
| | sample(model, sampler, rng): the stochastic-sampling verb (MCMC), the counterpart to solve() for targets that are sampled rather than solved.
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| | solve.hpp |
| | Problem-level solve(): the uniform solve(problem, algorithm) -> result verb over ODEProblem and LinearProblem. Repeated or warm-started linear solves use init(problem, algorithm) + solve(cache). The low-level cg()/gmres()/... kernels and ODE steppers remain the in-place primitives underneath. Stochastic sampling (MCMC) lives in solve/sample.hpp as sample(model, sampler).
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