"Algorithms to Live By" is a book co-authored by Brian Christian and Tom Griffiths, which explores the ways in which algorithms and computer science concepts can be applied to everyday life to help solve problems, make decisions, and improve efficiency.
The book covers a wide range of topics, including optimal stopping, sorting and searching, scheduling, caching, prediction, and game theory. Each chapter delves into a specific algorithm and explains how it works, as well as how it can be applied to real-life situations.
For example, the chapter on optimal stopping discusses how to make decisions about when to stop searching for a better option, whether it's when to stop dating and settle down, or when to stop searching for a new job. The chapter on scheduling explores the most efficient way to plan and organize tasks in order to maximize productivity and minimize stress.
Throughout the book, the authors use real-world examples and anecdotes to illustrate the concepts and make them accessible to a general audience. They also provide practical advice and tips for how to apply the algorithms in everyday life.
"Algorithms to Live By" is a fascinating and insightful book that offers a new perspective on how computer science concepts can be used to solve problems and improve decision-making in our daily lives. It is a valuable resource for anyone interested in computer science, as well as for anyone who wants to optimize their thinking and decision-making processes.