recomputed

Recomputed is the past participle of recompute, meaning to compute again. The term is used across fields to describe results that have been rederived in light of updated inputs, corrected data, or methodological changes. Recomputed results contrast with cached or previously computed values that are kept for efficiency but may become stale if inputs change.

In data processing and databases, recomputation occurs when base data are updated. Derived data such as aggregates, reports, or materialized views may be reprocessed to reflect the new state. Some systems use incremental recomputation to update only affected parts, while others rerun full analyses.

In spreadsheets and programming, recalculation can be automatic or triggered by manual requests. Formulas and functions may be recomputed when input cells change, ensuring that dependent calculations remain consistent. In computational workflows, recomputation is common after correcting a bug, adjusting model parameters, or restoring from a checkpoint.

In computer science, recomputation is also used as a memory-saving strategy in techniques like checkpointing, where intermediate results are discarded and later recomputed during backpropagation or replay.

In numerical methods and simulations, recomputed values can arise from re-running simulations with refined parameters or updated initial conditions. This ensures results meet current specifications or data quality standards. Recomputed outputs are typically expected to be reproducible under the same inputs and deterministic algorithms; nondeterminism can lead to different recomputations.