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William E. Schiesser Differential Equation Analysis In Biomedical Scie HBOOK NEW
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Artist
- William E. Schiesser
- EAN
- 9781118705483
- Format
- Hardcover
- ISBN
- 9781118705483
- Language
- English
- Release Year
- 2014-04-15
- Book Title
- Differential Equation Analysis In Biomedical Science And Engineer
- Type
- Textbook
- Subject Area
- Mathematics, Technology & Engineering, Science, Medical
- Publication Name
- Differential Equation Analysis in Biomedical Science and Engineering : Ordinary Differential Equation Applications with R
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.5 in
- Subject
- Biostatistics, Differential Equations / General, Chemical & Biochemical, Life Sciences / Biology, Biomedical
- Publication Year
- 2014
- Item Height
- 1.1 in
- Item Weight
- 25.8 Oz
- Item Width
- 6.4 in
- Number of Pages
- 440 Pages
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118705483
ISBN-13
9781118705483
eBay Product ID (ePID)
167914398
Product Key Features
Number of Pages
440 Pages
Language
English
Publication Name
Differential Equation Analysis in Biomedical Science and Engineering : Ordinary Differential Equation Applications with R
Subject
Biostatistics, Differential Equations / General, Chemical & Biochemical, Life Sciences / Biology, Biomedical
Publication Year
2014
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science, Medical
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
25.8 Oz
Item Length
9.5 in
Item Width
6.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
610.280285
Table Of Content
Preface ix 1. Introduction to Ordinary Differential Equation Analysis: Bioreactor Dynamics 1 2. Diabetes Glucose Tolerance Test 79 3. Apoptosis 145 4. Dynamic Neuron Model 191 5. Stem Cell Differentiation 217 6. Acetylcholine Neurocycle 241 7. Tuberculosis with Differential Infectivity 321 8. Corneal Curvature 337 Appendix A1: Stiff ODE Integration 375 Index 417
Synopsis
Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully applies computational techniques for solving real-world ODE problems that are found in a variety of fields, including chemistry, physics, biology, and physiology. The book provides readers with the necessary knowledge to reproduce and extend the computed numerical solutions and is a valuable resource for dealing with a broad class of linear and nonlinear ordinary differential equations. The author's primary focus is on models expressed as systems of ODEs, which generally result by neglecting spatial effects so that the ODE dependent variables are uniform in space. Therefore, time is the independent variable in most applications of ODE systems. As such, the book emphasizes details of the numerical algorithms and how the solutions were computed. Featuring computer-based mathematical models for solving real-world problems in the biological and biomedical sciences and engineering, the book also includes: R routines to facilitate the immediate use of computation for solving differential equation problems without having to first learn the basic concepts of numerical analysis and programming for ODEs Models as systems of ODEs with explanations of the associated chemistry, physics, biology, and physiology as well as the algebraic equations used to calculate intermediate variables Numerical solutions of the presented model equations with a discussion of the important features of the solutions Aspects of general ODE computation through various biomolecular science and engineering applications Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R is an excellent reference for researchers, scientists, clinicians, medical researchers, engineers, statisticians, epidemiologists, and pharmacokineticists who are interested in both clinical applications and interpretation of experimental data with mathematical models in order to efficiently solve the associated differential equations. The book is also useful as a textbook for graduate-level courses in mathematics, biomedical science and engineering, biology, biophysics, biochemistry, medicine, and engineering., Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully applies computational techniques for solving real-world ODE problems that are found in a variety of fields, including chemistry, physics, biology, and physiology. The book provides readers with the necessary knowledge to reproduce and extend the computed numerical solutions and is a valuable resource for dealing with a broad class of linear and nonlinear ordinary differential equations. The author s primary focus is on models expressed as systems of ODEs, which generally result by neglecting spatial effects so that the ODE dependent variables are uniform in space. Therefore, time is the independent variable in most applications of ODE systems. As such, the book emphasizes details of the numerical algorithms and how the solutions were computed. Featuring computer-based mathematical models for solving real-world problems in the biological and biomedical sciences and engineering, the book also includes: R routines to facilitate the immediate use of computation for solving differential equation problems without having to first learn the basic concepts of numerical analysis and programming for ODEs Models as systems of ODEs with explanations of the associated chemistry, physics, biology, and physiology as well as the algebraic equations used to calculate intermediate variables Numerical solutions of the presented model equations with a discussion of the important features of the solutions Aspects of general ODE computation through various biomolecular science and engineering applications Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R is an excellent reference for researchers, scientists, clinicians, medical researchers, engineers, statisticians, epidemiologists, and pharmacokineticists who are interested in both clinical applications and interpretation of experimental data with mathematical models in order to efficiently solve the associated differential equations. The book is also useful as a textbook for graduate-level courses in mathematics, biomedical science and engineering, biology, biophysics, biochemistry, medicine, and engineering., Features a solid foundation of mathematical and computationaltools to formulate and solve real-world ODE problems across variousfields With a step-by-step approach to solving ordinary differentialequations (ODEs), Differential Equation Analysis in BiomedicalScience and Engineering: Ordinary Differential EquationApplications with R successfully applies computationaltechniques for solving real-world ODE problems that are found in avariety of fields, including chemistry, physics, biology, andphysiology. The book provides readers with the necessary knowledgeto reproduce and extend the computed numerical solutions and is avaluable resource for dealing with a broad class of linear andnonlinear ordinary differential equations. The author's primary focus is on models expressed assystems of ODEs, which generally result by neglecting spatialeffects so that the ODE dependent variables are uniform in space.Therefore, time is the independent variable in most applications ofODE systems. As such, the book emphasizes details of the numericalalgorithms and how the solutions were computed. Featuringcomputer-based mathematical models for solving real-world problemsin the biological and biomedical sciences and engineering, the bookalso includes: R routines to facilitate the immediate use of computation forsolving differential equation problems without having to firstlearn the basic concepts of numerical analysis and programming forODEs Models as systems of ODEs with explanations of the associatedchemistry, physics, biology, and physiology as well as thealgebraic equations used to calculate intermediate variables Numerical solutions of the presented model equations with adiscussion of the important features of the solutions Aspects of general ODE computation through variousbiomolecular science and engineering applications Differential Equation Analysis in Biomedical Science andEngineering: Ordinary Differential Equation Applications with R is an excellent reference for researchers, scientists, clinicians, medical researchers, engineers, statisticians, epidemiologists, andpharmacokineticists who are interested in both clinicalapplications and interpretation of experimental data withmathematical models in order to efficiently solve the associateddifferential equations. The book is also useful as a textbook forgraduate-level courses in mathematics, biomedical science andengineering, biology, biophysics, biochemistry, medicine, andengineering.
LC Classification Number
R857.M34O34 2013
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