9 releases
0.0.1-alpha.8 | Feb 9, 2024 |
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0.0.1-alpha.7 | Feb 8, 2024 |
#580 in Math
150KB
3K
SLoC
bsplines
Rust Library
Rust library for vectorized, N-dimensional B-spline curves and their derivatives based on nalgebra.
🚧 This Library is Under Construction 🚧
- Use iterators and simplify loops
- Use
thiserror
- Refactor visibility and folder structure
- Refactor method selection and settings structs
- Add benchmarks and improve performance
lib.rs
:
bsplines is a library for vectorized, N-dimensional B-spline curves and their derivatives based on [nalgebra].
Features
- Create
N
-dimensional (N = 1, 2, 3,...
) curves of arbitrary polynomial degreep
. - Efficient curve evaluation for all available derivatives
k = 0, 1,... , p
. - Built with nalgebra to store point data in contiguous arrays
- Multiple methods for
- curve generation
- curve parametrization
- knot generation
- [curve manipulation][manipulation]
What are B-Splines?
B-splines are parametric functions composed of piecewise, polynomial basis functions of degree p > 0
. These piecewise polynomials are joined so that the parametric function is p-1
times continuously
differentiable. The overall functions are parametrized over finite domains with a so-called knot
vector with the co-domain being an N
-dimensional vector space, that is defined by control
points. They can describe [curves][curve], but also surfaces.
These characteristics lead to many desirable properties.
The piecewise definition makes B-spline functions versatile allowing to interpolate or approximate
complex-shaped and high-dimensional data, while maintaining a low polynomial degree. Because of the polynomial
nature, all possible derivatives are accessible.
![A 2D B-Spline curve.][img-curve]
Still, evaluations or spatial manipulations can be executed fast because only local polynomial segments must be considered and the associated numerical procedures are stable. Lastly, polynomials represent a memory-efficient way of storing spatial information as few polynomial coefficients suffice to describe complex shapes.
Literature:
Piegl1997 | Piegl, L., Tiller, W. The NURBS Book. Monographs in Visual Communication. Springer, Berlin, Heidelberg, 2nd ed., 1997. |
Eilers1996 | Eilers, P. H. C., Marx, B. D., Flexible smoothing with B -splines and penalties, Stat. Sci., 11(2) (1996) 89–121. |
Tai2003 | Tai, C.-L., Hu, S.-M., Huang, Q.-X., Approximate merging of B-spline curves via knot adjustment and constrained optimization, Comput. Des., 35(10) (2003) 893–899. |
Dependencies
~3.5MB
~78K SLoC