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Computer Science Textbooks
Algorithms & Data Structures
Concrete Mathematics
2nd Edition · Ronald L. Graham, Donald E. Knuth, Oren Patashnik
A curated resource for building stronger foundations in algorithms, data structures, and computational problem solving.
What You’ll Learn
A quick overview of the core skills and concepts covered in this book
- Sums, recurrences, integer functions, number theory, and binomial coefficients
- Mathematical tools used in algorithm analysis
- Techniques for transforming and solving discrete problems
- How to build stronger proof and problem-solving skills for computer science
Who This Book Is For
- Computer science students strengthening mathematical foundations
- Students preparing for algorithm analysis coursework
- Readers comfortable with algebra and proof-based reasoning
- Developers who want deeper discrete math fluency
Inside the Book
- Structured chapters that build from foundational concepts to advanced techniques
- Worked examples and pseudocode or implementation guidance
- Exercises for testing understanding and applying concepts
- Mathematical analysis or performance reasoning
- Reference-style coverage for repeated study
Why This Book Stands Out
- Written specifically as a bridge between continuous and discrete mathematics
- Closely connected to algorithm analysis and theoretical CS
- Rich examples and challenging exercises
- Frequently recommended for readers moving into advanced algorithms
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Related Books in This Series
Introduction to Algorithms
Algorithms
The Art of Computer Programming