P/NP 问题是计算机科学乃至整个数学领域最重要的开放问题。本书从非技术角度介绍了什么是P/NP 问题、它丰富的历史，以及对于人机交互乃至更多问题的数学意义。在这本趣味十足的书中，作者首先追溯了P/NP 问题是如何产生的，然后给出了这个问题的许多实例，涉及经济学、物理学和生物学在内的多个学科。接下来探讨了涵盖P/NP 难题中所有难度等级的问题，从寻找游玩迪士尼乐园所有景点的最短路线，到地图填色问题，再到找出Facebook 上互为好友的一群人。本书深入探寻了计算能够做到什么、无法做到什么，描绘了尝试解决P/NP问题的益处和其中难以预想的挑战。
本书读来引人入胜，适合所有对计算和数学感兴趣的读者。

The focus of this book is the P versus NP Question and the theory of NP-completeness. It also provides adequate preliminaries regarding computational problems and computational models. The P versus NP Question asks whether or not finding solutions is harder than checking the correctness of solutions. An alternative formulation asks whether or not discovering proofs is harder than verifying their correctness. It is widely believed that the answer to these equivalent formulations is positive, and this is captured by saying that P is different from NP. Although the P versus NP Question remains unresolved, the theory of NP-completeness offers evidence for the intractability of specific problems in NP by showing that they are universal for the entire class. Amazingly enough, NP-complete problems exist, and furthermore hundreds of natural computational problems arising in many different areas of mathematics and science are NP-complete.