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Update Readme.md
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alexshtf authored Jan 27, 2018
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Expand Up @@ -54,7 +54,6 @@ Once the developer defines his/her function, the AutoDiff library can automatica
* Composition of functions using arithmetic operators, Exp, Log, Power and user-defined unary and binary functions.
* Function gradient evaluation at specified points
* Function value evaluation at specified points
* Uses [Code Contracts](https://docs.microsoft.com/en-us/dotnet/api/system.diagnostics.contracts.contract) for specifying valid parameters and return values
* Computes gradients using Reverse-Mode AD algorithm in **linear time**, which is substantially faster than numerical gradient approximation for multivariate functions.

# **Using in research papers**
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