Privacy Utils Utilities

Mathematical and statistical utilities for privacy-preserving computations.

Features

• Vector Operations: Efficient vector arithmetic and manipulation
• Statistical Functions: Mean, variance, standard deviation calculations
• Norm Calculations: L1, L2, and Linf norm implementations
• Array Utilities: Clipping, scaling, and normalization functions
• Random Sampling: Weighted and uniform sampling methods
• Data Structures: Efficient data structures for privacy computations

Installation

npm install privacy-utils-utils

Usage

import {
  vectorAdd,
  vectorMultiply,
  mean,
  variance,
  standardDeviation,
  l2Norm,
  clipArray,
  normalizeArray
} from 'privacy-utils-utils';

// Vector operations
const v1 = [1, 2, 3, 4, 5];
const v2 = [5, 4, 3, 2, 1];
const sum = vectorAdd(v1, v2);
const product = vectorMultiply(v1, v2);

// Statistical calculations
const data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const avg = mean(data);
const var = variance(data);
const std = standardDeviation(data);

// Array utilities
const clipped = clipArray(data, 5); // Clip values to maximum of 5
const normalized = normalizeArray(data); // Normalize to [0, 1] range
const l2 = l2Norm(data); // Calculate L2 norm

API Reference

For complete API documentation, see the TypeScript definitions or visit the main repository.

License

MIT

Contributing

Contributions are welcome! Please see the main repository for contribution guidelines.