Search Results for "extrapolation"

This package implements a variety of interpolation schemes for the Julia language. It has the goals of ease of use, broad algorithmic support, and exceptional performance. Currently, this package supports B-splines and irregular grids. The API has been designed with the intent to support more options. Initial support for Lanczos interpolation was recently added. Pull requests are more than welcome! It should be noted that the API may continue to evolve over time.

...Some limitations exist in the PBTK field, such as difficulty of model development and a lack of application specific software tools to help modelers. Some parameters used in PBTK models, such as tissue weights, are easily measure. Other parameters can be determined through in-vitro experiments or through extrapolation using published equations. When it is impractical to use these methods to estimate a parameter, techniques can be used to optimize parameters so that model results best fit validation data. This tool was designed to optimize a user-specified list of parameters to a user-specified PBTK model. The user also controls validation data and optimization algorithms. ...

...Lance also includes a client-side library that keeps each player’s game state synchronized with the server in real time. To ensure smooth gameplay, it uses efficient networking techniques along with position interpolation and extrapolation. The framework manages user input coordination and shadow objects to reduce the impact of latency. Built-in physics and pseudo-physical movement help create realistic interactions between game entities. Overall, Lance focuses on delivering a smooth visual experience while keeping multiplayer logic reliable.

This is a refactored C++ version of subroutine dqelg of QUADPACK, an implementation of the epsilon table extrapolation algorithm, originally written in Fortran 77. This version is expected to exactly reproduce the roundoff errors of dqelg. Declarations for standard-conforming Fortran bindings are also provided.

...Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24 and G.I. Webb, J. Boughton, F. Zheng, K.M. Ting and H. Salem (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.

...Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24 and G.I. Webb, J. Boughton, F. Zheng, K.M. Ting and H. Salem (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.

This software is a GIS, they permit contextualize the information and the extrapolation of knowledge. Permit to calculate the distribution of blood donors and cross reference this with the places of collect.

TRAPEX - solution of quadrature problems on finite intervals using trapezoidal sums with polynomial extrapolation and adaptive order and stepsize control.

TP-Fit is used to analyze downhole temperature measurements by extrapolation of transient data to undisturbed formation temperatures. This is an OLD version, the latest versions TP-Fit can be found at https://github.com/MHee/TP-Fit !!!