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Description
Description
Support non-linear parameter evolution across stages instead of only constant growth rates.
Current Behavior
- User specifies scalar rate of change per parameter
- Parameters grow via compound rate:
value_t = value_0 * (1 + rate)^t - Example: demand=10000, rate=0.10 → stage 2: 11000, stage 3: 12100
Proposed Behavior
- User selects growth type from predefined options:
linear:value_0 + rate * tcompound:value_0 * (1 + rate)^t(current default)exponential:value_0 * exp(rate * t)custom: user provides list of explicit values per stage
- Alternatively: accept arbitrary expression string (e.g.,
"1.5 * x1 + 100")
Implementation Notes
- Predefined functions are safer/simpler than expression parsing
customlist option handles any pattern without parsing complexity- Config example:
demand: base: 10000 growth_type: compound # or linear, exponential, custom rate: 0.10 # OR for custom: # values: [10000, 12000, 15000, 20000]
Open Questions
- Predefined functions sufficient, or need arbitrary expressions?
- If arbitrary: use sympy for parsing? Security concerns?
- Should different parameters support different growth types in same run?
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