Use this online-algorithm example to compare decisions made without future knowledge against an offline optimum under a precisely stated cost model.

Rental cost per day

Required number input.

Purchase cost

Required number input.

Usage days

Required integer input.

Compare a deterministic rent-or-buy strategy with the optimal decision made in hindsight. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.^[1]

Online decision

The resulting online decision returned as an object.

• Competitive guarantees depend on the assumed request sequence, cost ratio, adversary, randomization, and whether parameters are known. A worst-case guarantee does not predict average operational performance.
• Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Test adversarial and representative sequences, report both competitive ratio and realized cost, and compare with a forecast-assisted policy when predictions are available.

• Archetypal Analysis Demonstrator

  Select representative boundary observations with a deterministic farthest-first archetype initialization.

• AdaBoost Classifier Demonstrator

  Train one-dimensional decision stumps with AdaBoost sample reweighting.

• Rental Yield Gross

  Annual gross rent as a percentage of acquisition price, before vacancy and expenses.