Abstract
Optimisation is one of the most fundamental areas of numerical computing. From simple root finding to advanced machine learning, optimisation is everywhere. In this chapter, we will give you a brief overview of this topic and how the OCaml numerical library, Owl, supports basic optimisation methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Wang, L., Zhao, J., Mortier, R. (2022). Optimisation. In: OCaml Scientific Computing. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-97645-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-97645-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-97644-6
Online ISBN: 978-3-030-97645-3
eBook Packages: Computer ScienceComputer Science (R0)