جزئیات کتاب
فرمت
جلد سخت
صفحات
594
زبان
انگلیسی
منتشر شده
Nov 29, 2010
ناشر
Cambridge University Press
نسخه
1
ISBN-10
0521871581
ISBN-13
9780521871587
توضیحات
This book serves as a comprehensive resource for those delving into the intersection of numerical techniques, statistical analysis, and bioengineering. It offers a deep exploration of the quantitative approaches essential for tackling complex biological problems. With a strong emphasis on practical application, the authors intertwine theory with MATLAB coding to enhance the reader's understanding and skill set.
Michael R. King and Nipa A. Mody provide clear explanations of various methodologies, ensuring that concepts are accessible to a wide audience, from students to seasoned professionals. Each chapter is crafted to build upon the last, gradually developing a nuanced perspective on the mathematical tools available to bioengineers. The application-focused approach means that readers can readily translate theoretical knowledge into real-world solutions.
By incorporating diverse examples and case studies, the narrative enriches the learning experience, demonstrating how statistics and numerical methods play crucial roles in contemporary bioengineering challenges. This engaging presentation stimulates inquiry and encourages readers to experiment with the techniques discussed.
Ultimately, the work stands as a vital reference for anyone looking to bolster their proficiency in applying statistical and numerical methods within the life sciences, making it an invaluable addition to the field of biomedical engineering.
Michael R. King and Nipa A. Mody provide clear explanations of various methodologies, ensuring that concepts are accessible to a wide audience, from students to seasoned professionals. Each chapter is crafted to build upon the last, gradually developing a nuanced perspective on the mathematical tools available to bioengineers. The application-focused approach means that readers can readily translate theoretical knowledge into real-world solutions.
By incorporating diverse examples and case studies, the narrative enriches the learning experience, demonstrating how statistics and numerical methods play crucial roles in contemporary bioengineering challenges. This engaging presentation stimulates inquiry and encourages readers to experiment with the techniques discussed.
Ultimately, the work stands as a vital reference for anyone looking to bolster their proficiency in applying statistical and numerical methods within the life sciences, making it an invaluable addition to the field of biomedical engineering.
ژانرها
علم و فناوری