Focusing on graph isomorphism, this textbook offers a comprehensive introduction to graph algorithms, combining intuitive explanations with structured pseudocode and correctness proofs. It covers classical topics like shortest paths and flows, while also addressing emerging applications in computational biology and chemistry. The text includes advanced algorithmic techniques and provides Python code for practical implementation. Enhanced with illustrations, examples, exercises, and a thorough bibliography, it serves as a valuable resource for both students and professionals.
Gabriel Valiente Boeken


Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R
- 368bladzijden
- 13 uur lezen
Focusing on the exploration of patterns in biological sequences and data structures, this book illustrates how combinatorial pattern matching algorithms address challenges in computational biology, particularly in genomic and proteomic analysis. It presents algorithms intuitively, accompanied by detailed pseudo-code. Additionally, the author provides alternative implementations in Perl and R, facilitating algorithm testing and project development using the provided code.