The Algorithm Design Manual
by Steven S. Skiena
Should I read this?
Recommended by 1 source and appears in Algorithms, Data Structures, and Algorithms.
This book/CDROM package is a handy reference for working professionals who use algorithms on a daily basis. Practical Algorithm Design takes the "mystery" out of algorithms which readers encounter in the workplace by identifying and explaining them. A major feature of this book is the inclusion of a complete "catalog" of important algorithmic prob...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
Recommended by 1 source and appears in Algorithms, Data Structures, and Algorithms.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Leo Polovets
“@VictorPontis Yeah the central concept of TSG is mindbending. Have you read the Algorithm Design Manual by @StevenSkiena Good, complementary book to CLRS. More about how to "think in algorithms" than specific algorithms.”
Appears In
Not sure if this is the right fit?
Consider Accidental Presidents by Jared Cohen. Recommended by 10 sources.
“Accidental Presidents offers eight narrative portraits of men who succeeded to the U.S. presidency without election, using anecdote-rich scenes and readable context to show how personality and circumstance interact with office power. It’s strongest as a set of self-contained stories that make succession stakes concrete for non-specialist readers; it does not prioritize dense archival argument or exhaustive methodology, so expect some interpretive generalizations and repeated themes across cases. Use it for fast historical orientation rather than scholarly deep-dives.”
Similar books
How recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.