SplineLibrary 2.3
SplineLibrary provides the functionality for building, calibrating, and evaluating different kinds of splines.
SplineLibrary implements the functionality behind spline design, spline constructions, customization, calibration, and evaluation of a wide variety of spline types and basis functions.
SplineLibrary achieves its design goal by implementing its functionality over several packages the perform the following:
Spline Calibration Framework: Schematic spline segment/span partitioning, elastic/inelastic entity-variate separation, mathematical calibration formulation framework with constraints/
Shape Preserving Spline Suite: B-splines, Polynomial Splines and Variants (Bernstein, Kaklis-Pandelis, Manni), Integrated Tension Splines (exponential/
Space Spline Curves: Hermitian, Catmull-Rom, Cardinal Cubic, Space Loops.
B Splines: Polynomial Koch/Loche/Kvasov Tension B Splines Monic/Multic Sequence Generation and Setup.
Spline Calibration: Explicit segment formulation frame work, Optimizing shape preserving splines, curvature/
Spline Smoothing Schemes: Akima, Bessel, Harmonic, Hyman83, Hyman89, Kruger, Preuss, Hagan-West, and Preuss schemes.
Regression Splines: Curveture/Length Penalizing and Best-Fit Splines.
Spline Evaluation: Metric'ed evaluation of monotonicity, convexity, smoothness, locality, and approximation order.
Spline Extensions: Variational Smoothing, density smoothing technique, alternate smoothener customization extension, multi-dimensional (including thin plate) splines.
Documentation: Literature review, framework description, mathematical and formulation details of the different components, spline library synthetic knowledge unit (SKU) composition, and module and API usage guide.
Regression Tests: Statistical regression analysis and dispersion metric evaluation for the initialization and the iteration components of the different basis spline construction, usage, and span interpolation methodologies.
Milestone information
- Project:
- SplineLibrary
- Series:
- 2.3
- Version:
- 2.3
- Released:
- Registrant:
- Lakshmi Krishnamurthy
- Release registered:
- Active:
- No. Drivers cannot target bugs and blueprints to this milestone.
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- No users assigned to blueprints and bugs.
- Blueprints:
- No blueprints are targeted to this milestone.
- Bugs:
- No bugs are targeted to this milestone.
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Release notes
SplineLibrary provides the functionality for building, calibrating, and evaluating different kinds of splines.
SplineLibrary implements the functionality behind spline design, spline constructions, customization, calibration, and evaluation of a wide variety of spline types and basis functions.
SplineLibrary achieves its design goal by implementing its functionality over several packages the perform the following:
Spline Calibration Framework: Schematic spline segment/span partitioning, elastic/inelastic entity-variate separation, mathematical calibration formulation framework with constraints/
Shape Preserving Spline Suite: B-splines, Polynomial Splines and Variants (Bernstein, Kaklis-Pandelis, Manni), Integrated Tension Splines (exponential/
Space Spline Curves: Hermitian, Catmull-Rom, Cardinal Cubic, Space Loops.
B Splines: Polynomial Koch/Loche/Kvasov Tension B Splines Monic/Multic Sequence Generation and Setup.
Spline Calibration: Explicit segment formulation frame work, Optimizing shape preserving splines, curvature/
Spline Smoothing Schemes: Akima, Bessel, Harmonic, Hyman83, Hyman89, Kruger, Preuss, Hagan-West, and Preuss schemes.
Regression Splines: Curveture/Length Penalizing and Best-Fit Splines.
Spline Evaluation: Metric'ed evaluation of monotonicity, convexity, smoothness, locality, and approximation order.
Spline Extensions: Variational Smoothing, density smoothing technique, alternate smoothener customization extension, multi-dimensional (including thin plate) splines.
Documentation: Literature review, framework description, mathematical and formulation details of the different components, spline library synthetic knowledge unit (SKU) composition, and module and API usage guide.
Regression Tests: Statistical regression analysis and dispersion metric evaluation for the initialization and the iteration components of the different basis spline construction, usage, and span interpolation methodologies.
Changelog
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0 blueprints and 0 bugs targeted
There are no feature specifications or bug tasks targeted to this milestone. The project's maintainer, driver, or bug supervisor can target specifications and bug tasks to this milestone to track the things that are expected to be completed for the release.
