References and Additional Resources
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A Hitchhiker's Guide to Automatic Differentiation.

Griewank, A. and Walther, A., 2008.  Evaluating derivatives: principles and techniques of algorithmic differentiation (Vol. 105). Siam.

Nocedal, J. and Wright, S., 2001.  Numerical Optimization, Second Edition. Springer.

Automatic Differentiation in Machine Learning: A Survey.