Algorithms

Best algorithms books and tools

Resources for Algorithms under Technology & Computer Science. Pair these picks with articles on thestemprofessor.com.

• Introduction to Algorithms (Cormen, Leiserson, Rivest & Stein) — CLRS — standard algorithms reference; buy the edition your course specifies.
• Algorithm Design Manual (Steven Skiena) — Practical algorithms with war stories — good companion to CLRS.
• Grokking Algorithms (Aditya Bhargava) — Visual first pass before a proof-heavy algorithms course.
• Algorithms (Robert Sedgewick & Kevin Wayne) — Tighter undergrad algorithms text with good Java implementations.
• STEM lab notebook (grid + ruled) — Keep lab notes, units, and sketches in one place.
• Index cards for formulas and terms — Quick review between lectures and problem sets.