kmp5VT/ITensorCPD.jl

Updated solver support

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#5 opened on Jun 22, 2025

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enhancementgood first issue

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Description

It would be useful to integrate other solver ideas into this package. Specifically

  • regularization,
  • line search methods,
  • tucker/randomized compression schemes and
  • gradient descent algorithms.

Contributor guide

Research direction
Examine the existing solver interface in the codebase, then implement one of the requested features: regularization (e.g., L2 penalty for tensor factors), line search (e.g., Armijo rule for step size), Tucker/randomized compression for efficiency, or gradient descent methods. Start with a simple gradient descent to understand the structure.
Tech stack
julia
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
JuliaITensortensor decomposition
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
35