References and Additional Resources¶
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.