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There should be some functionality to compute the (multivariate) truncated Taylor series of a given (multivariate) complex analytic function.
* Finite differences
* Complex integration
Thoughts…
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Automatic differentiation would be useful so we don't have to implement linearizations or Jacobians of complicated analytic functions. Examples where autodiff would help:
- Jacobians and Hessians o…
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Numerical differentiation decreases the Signal/Noise Ratio (SNR), and the measured data (position of the cart and the angle of the endulum) must be differentiated twice (to obtain velocity **and** acc…
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**Is your feature request related to a problem? Please describe.**
For both optimization of parameters and the calculation itself it would be great to have functions that analytically calculate deriv…
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## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: IIT Bombay
2. #### Appr…
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### Idea
The goal of this idea is to add functions for numerical integration or differentiation to stdlib as building blocks for downstream algorithms. The functions could be ported from permissive…
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Sella is using finite difference method to generate initial Hessian for TS search (dimer likely), which is using a relatively small stepsize `eta=1e-4`, but this is not suitable for ABACUS and any oth…
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```
http://www.mathworks.com/matlabcentral/fileexchange/13490-adaptive-robust-numeri
cal-differentiation
Describes a sophisticated scheme for numeric differentiation using Romberg
interpolation. Th…
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This issue is created to keep track of progress and responsibilities for the Clad documentation hackathon.
The following concepts along with their person-in-charge are as follows:
'?' is used if…