Edwin J. Elton, Martin J. Gruber, Dynamic Programming Applications in Finance, The Journal of Finance, Vol. 26, No. 2, Papers and Proceedings of the Twenty-Ninth Annual Meeting of the American Finance ...

For applications of advanced machine learning (ML), writing AI algorithms fortified by quantum computing reduces the amount of time required for bringing new pharmaceuticals to market, for example.

Elixir is a dynamic functional programming language built on top of the Erlang BEAM virtual machine. It is excels at building ...

In addition to a plain-vanilla implementation of dynamic programming decomposition, we consider the variants proposed by Erdelyi and Topaloglu (2011) and Zhang (2011). For the base scenario generated ...

In particular, RNA folding – a classic application of dynamic programming – utilises recurrence relations to predict the most stable secondary structures based on base-pair interactions.

A well-established mathematical algorithm known as dynamic programming, combined with advances in personal computing power, now allows straightforward optimization of fixed-bed catalyst life strategy.

View on Coursera Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic ...

Hugo P. Simão, Jeff Day, Abraham P. George, Ted Gifford, John Nienow, Warren B. Powell, An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application, ...

Veracode Dynamic Analysis is Veracode’s flagship DAST tool. The solution enables you to discover runtime vulnerabilities in web applications and application programming interfaces (APIs). Key ...