Mohlo by sa vám tiež páčiť

Informovať o naskladnení knihy

Viac informácií o knihe Numerical Methods in Biomedical Engineering

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 318 bodov

Anotácia knihy

Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. Emphasizes modeling as an essential step in developing good numerical solutions Provides applications to BME problems over a large range of system scales - molecular level to physiology-systems level Teaches modern computational tools such as Matlab and Simulink, and utilizes actual data sets from sources such as Physiolink (sponsored by the National Institute of Health) Appendices on Matlab and Simulink provide stand-along tutorials for getting up and running with these standard engineering tools. The Simulink tutorial includes a walk-through using PHYSBE, a model of the circulatory system available as a free download from the Mathworks website. New to this edition: Additional examples across the spectrum of biomedical engineering – biomechanics, biomaterials, and transport phenomenon Additional exercises in each chapter, including coverage of new application areas Updated for recent releases of Matlab and Simulink Includes new data sets from public health organizations like NIH

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Technology: general issues Maths for engineers

• Celý názov: Numerical Methods in Biomedical Engineering
• Autor: Stanley Dunn, Alkis Constantinides, Prabhas Moghe
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 672
• EAN: 9780323915823
• ISBN: 0323915825
• ID: 43644850
• Nakladateľ: Elsevier Science
• Rozmery: 234 × 191 mm
• Dátum vydania: 01. September 2024

Obľúbené z iného súdka

---

---

---