Examples
Examples
Try the starting example
- JSON Candidates [ID,quality higher-better,currency per unit,latency ms] (USD)
- [["A",0.8,0.01,100],["B",0.85,0.02,120],["C",0.7,0.02,150]]
- Maximum acceptable latency (ms)
- 200
- Nondominated candidate IDs
- ["A","B"]
- Latency-infeasible candidate IDs
- []
Try another scenario
- JSON Candidates [ID,quality higher-better,currency per unit,latency ms] (USD)
- [["A",0.8,0.01,100],["B",0.85,0.02,120],["C",0.7,0.02,150]]
- Maximum acceptable latency (ms)
- 110
- Nondominated candidate IDs
- ["A"]
- Latency-infeasible candidate IDs
- ["B","C"]
Calculation method
Calculation method
Nondominated candidate IDs
A dominates B when quality≥, cost≤, latency≤ and at least one strict; retain nondominated feasible candidates.
Latency-infeasible candidate IDs
Candidates exceeding supplied maximum latency.
Symbols and units
- a
- JSON Candidates [ID,quality higher-better,currency per unit,latency ms] (USD)
- b
- Maximum acceptable latency (ms)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Three-objective measured frontier under a latency constraint; equal points both retained. No vendor prices or quality scores inferred. Supported limits: 1–100 candidates, finite comparable quality and nonnegative costs/latency.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.