Minimize the sum of squares of terms with different magnitude
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- Dominant language
- Julia
- Stars
- 839
- Forks
- 100
- Avg merge
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- Merged PRs (30d)
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Description
Hi. I am trying to minimize a sum of three terms for a parameter estimation problem where the magnitude of one of the terms is larger ( about an order of magnitude) than the other two. When I perform the optimization, it results in a much better fit on the parts of the system that affect the term with the larger magnitude. Could you please suggest how this can be avoided ?
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Research direction
The issue names no file, test, or entry point. First clarify which Optimization.jl interface and objective-scaling behavior are involved, then establish a reproducible example for terms with different magnitudes. Done would require an agreed scope and a test or documentation change showing the intended behavior.
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Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100