Algorithms to Live By

This work provides a concise synthesis of the key insights and analysis from Algorithms to Live By. It is an independent summary, not the original book, and has no affiliation with or endorsement from the original publication. Created for readers who want a clear, thought-provoking overview, it distills the central themes and ideas while preserving the depth and relevance of the work.

An exploration of how classic algorithms from computer science can help navigate everyday decisions, from when to stop searching and commit to how to schedule tasks, organize clutter and balance exploration with exploitation. It turns concepts like optimal stopping, caching, overfitting and game theory into practical mental models for managing time, choices and uncertainty.