|
| | kmeans.cpp |
| | K-means batch/online update kernels, replicate driver and empty-cluster handling.
|
| | kmeans.h |
| | K-means partitional clustering with multiple distance metrics, initialisations and empty-cluster policies.
|
| | linalg.cpp |
| | Jacobi-SVD condition metrics, block-diagonal sparse builder and xyz reduction.
|
| | linalg.h |
| | Static linear-algebra helpers: SVD-based conditioning, block-diagonal assembly, sorted index pairs.
|
| | math_global.cpp |
| | Thin forwarders that surface UTILSLIB build-info into MATHLIB.
|
| | math_global.h |
| | Export/import macros and build-stamp accessors for MATHLIB.
|
| | numerics.cpp |
| | Implementations of GCD, sparsity test, histogram binning and baseline rescaling.
|
| | numerics.h |
| | General numerical helpers: GCD, log2, histogram binning, baseline rescaling, sparsity tests.
|
| | simplex_algorithm.h |
| | Header-only Nelder–Mead simplex minimiser with pluggable cost and report callables.
|
| | spectral.cpp |
| | FFT, multi-taper combination and PSD/CSD assembly kernels.
|
| | spectral.h |
| | Multi-taper spectral estimation: tapered FFT, power and cross-spectral density, DPSS weighting.
|
| | sphere.cpp |
| | Closed-form (Jennings) and Nelder–Mead implementations of sphere fitting.
|
| | sphere.h |
| | Best-fit sphere from a 3-D point cloud with closed-form and Nelder–Mead solvers.
|
| | warp.cpp |
| | Thin-plate-spline fit and evaluation kernels and the landmark-file reader.
|
| | warp.h |
| | Thin-plate-spline 3-D warp from landmark correspondences.
|