Détails du livre
Format
Relié
Pages
464
Langue
Anglais
Publié
Apr 1, 2012
Éditeur
Princeton University Press
Édition
3.2.2012
ISBN-10
0691151229
ISBN-13
9780691151229
Description
This work delves into the essential principles of numerical methods, presenting them in a straightforward manner that appeals to both students and professionals. The authors, renowned experts in the field, take a methodical approach to dissect traditional topics while modernizing the narrative to reflect contemporary applications. Their clarity in explanation equips readers to grasp complex concepts without feeling overwhelmed.
Greenbaum and Chartier emphasize the design and analysis of algorithms, steering readers through the various stages of computational problem-solving. From foundational ideas to sophisticated techniques, they offer a comprehensive view that is both educational and practical, making it particularly useful for individuals engaging in work that requires precise calculations and simulations.
Moreover, the implementation of algorithms is a central theme throughout the text, providing valuable insights into the coding and computational aspects of numerical methods. This integration of theory and practice ensures that readers are well-prepared to apply what they’ve learned in real-world scenarios, enhancing their skills and confidence in numerical analysis.
Greenbaum and Chartier emphasize the design and analysis of algorithms, steering readers through the various stages of computational problem-solving. From foundational ideas to sophisticated techniques, they offer a comprehensive view that is both educational and practical, making it particularly useful for individuals engaging in work that requires precise calculations and simulations.
Moreover, the implementation of algorithms is a central theme throughout the text, providing valuable insights into the coding and computational aspects of numerical methods. This integration of theory and practice ensures that readers are well-prepared to apply what they’ve learned in real-world scenarios, enhancing their skills and confidence in numerical analysis.
Genres
Science & Technologie
Histoire