amortized-algorithms

What problem does it solve?

Amortized analysis provides deterministic bounds on the total cost of sequences of data-structure operations, separating worst-case sequence behavior from per-operation spikes, and clarifying how cheap operations pay for expensive ones.

Core Features & Use Cases

• Analysis models: aggregate analysis, the accounting method, and the potential method for proving amortized guarantees.
• Patterns: dynamic tables, binary counters, and multi-operation sequences such as bulk insertions, resizes, or batched deletions.
• Use Case: design and verify data-structure implementations where amortized bounds prevent latency spikes and guide resource allocation.

Quick Start

Apply the technique to bound the total work for a given sequence of inserts, deletes, and resizes.