Disciplined Parametrized Programming
A guide to parameterized convex programs, repeated canonicalization and differentiating solution maps.
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A guide to parameterized convex programs, repeated canonicalization and differentiating solution maps.
A reference for discrete Fourier, cosine, sine and Hankel transforms, including periodicity, normalization and computational caveats.
A multiple-testing reference for adjusted p-values using Benjamini–Hochberg and Benjamini–Yekutieli procedures.
A reference for generalized estimating equations with clustered outcomes and explicit working-dependence structures.
A generalized-linear-model reference connecting response families, link functions, variance functions and fitted results.
An official guide to quadrature from functions or samples, multiple integration and initial-value ODE solving.
An interpolation guide organized by data geometry, smoothness and shape requirements, including structured and scattered data.
A reference for bounded nonlinear least squares, including Jacobians, robust losses, scaling and termination behavior.
A guide to dense linear systems, least squares, matrix factorizations, eigenproblems and matrix functions.
A reference for linear mixed-effects models with group-specific random effects, variance components and likelihood-based fitting.
A guide to explicit measurement-error models, rounding and combining uncertain estimates in meta-analysis.
A survival-analysis reference for survival-function estimation, inference and regression with duration data.
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