Data-Driven Computing in Elasticity via Chebyshev Approximation 
This repo consists of all the codes and dataset of the research paper, “Data-driven computing in elasticity via Chebyshev Approximation“.
The following are the graphs of the detailed comparison :
| — | Chebyshev Function | Kernel Regression | Polynomial Fitting | Neural Network |
|---|---|---|---|---|
| — | Description | Description | Description | Description |
| Load Multiplier |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
| — |  |
 |
 |
 |
Issue / Want to Contribute ? :
Open a new issue or do a pull request incase your are facing any difficulty with the code base or you want to contribute to it.
