Editing 9700 South Cass Avenue

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Research Question: How can automatic differentiation tools be used to improve the efficiency and accuracy of optimization software?

Methodology: The study uses the NEOS Server, a problem-solving environment that integrates automatic differentiation tools with state-of-the-art optimization solvers. It discusses the computation of the gradient and Hessian matrix for partially separable functions, highlighting the benefits of using automatic differentiation tools.

Results: The study shows that the gradient and Hessian matrix can be computed with guaranteed bounds in terms of time and memory requirements. This means that the process is both efficient and accurate.

Implications: The research suggests that automatic differentiation tools can be highly beneficial in optimization software. They can reduce the time and effort required to obtain necessary information, making the software more accessible and widely used.

Link to Article: https://arxiv.org/abs/0101001v1
Authors: 
arXiv ID: 0101001v1

[[Category:Computer Science]]