# Note on distance matrix hashing

## TL;DR

This paper introduces a residual hashing algorithm for dynamical distance sets and presents a data structure that accelerates its computations, aiming to improve efficiency in distance matrix processing.

## Contribution

It proposes a novel residual hashing function and an optimized data structure to enhance computation speed in distance matrix hashing.

## Key findings

- Hashing algorithm effectively handles dynamical distance sets
- Data structure significantly accelerates hashing computations
- Residual hashing improves accuracy or efficiency

## Abstract

Hashing algorithm of dynamical set of distances is described. Proposed hashing function is residual. Data structure which implementation accelerates computations is presented