Numerical Methods for Computational Mathematics and Analysis
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Updated
Sep 24, 2024 - Jupyter Notebook
Numerical Methods for Computational Mathematics and Analysis
Implementation of the Smith-Wilson yield curve fitting algorithm in Python for interpolations and extrapolations of zero-coupon bond rates
Learn Computational mathematics
A professional list of Papers on AI for Spatial Interpolation in AI conferences and journals.
PolyFit is a C library providing polynomial fitting functionality, for precise curve approximation based on input data. The library facilitates interpolation and extrapolation, allowing users to predict additional data points with accuracy and efficiency.
Monotonic cubic interpolation in Julia
Python library for radar Bandwidth Extrapolation (BWE)
NPI Ephemeris Propagation Tool with Uncertainty Extrapolation
📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽
Tipping Point Analysis for Bayesian Dynamic Borrowing
Simple bisection method that finds the optimal parameter α for the Smith & Wilson algorithm.
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
Implementation of the Smith & Wilson algorithm for interpolation and/or extrapolation of missing interest rates in Python.
Active learning framework for discovery of sequential points: Accelerated design of experiments
Define the word exterpolation.
Framework for autonomous learning of explainable graph neural networks
Multidimensional B-Spline Interpolation of Data on a Regular Grid
Algoritmo popolare per adattare una curva dei rendimenti a dati osservati.
some interesting mathematical problems in python
Course "Machine learning" in Python
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