[MATH-1641] [GSoC] Update components including machine learning; linear algebra; special functions

• Type: Wish
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Labels: full-time gsoc gsoc2022 gsoc2023

Language

Java

• Assignee: Unassigned
• Reporter: Gilles Sadowski

potential-mentor

Alex Herbert, Gilles Sadowski

• Created: 09/Feb/22 13:54
• Updated: 03/Mar/23 01:26

Description

Placeholder for tasks that could be undertaken in this year's GSoC.

Ideas (extracted from the "dev" ML):

1. Redesign and modularize the "ml" package
   -> main goal: enable multi-thread usage.
2. Abstract the linear algebra utilities
   -> main goal: allow switching to alternative implementations.
3. Redesign and modularize the "random" package
   -> main goal: general support of low-discrepancy sequences.
4. Refactor and modularize the "special" package
   -> main goals: ensure accuracy and performance and better API,
   add other functions.
5. Upgrade the test suite to Junit 5
   -> additional goal: collect a list of "odd" expectations.
6. Review and finalize pending issues about the refactoring of the "genetic algorithm" functionality (cf. dedicated branch)

Other suggestions welcome, as well as

• delineating additional and/or intermediate goals,
• signalling potential pitfalls and/or alternative approaches to the intended goal(s).