MyLab Math with Pearson eText Access Code for Differential Equations and Boundary Value Problems
Computing and Modeling
6th Edition
Published on 9. January 2022
Software
Product license key
978-0-13-754051-8 (ISBN)
Description
Differential Equations and Boundary Value Problems: Computing and Modeling?balances concepts, visualization, applications and skills, helping you develop the conceptual understanding and geometric visualization that are essential for science and engineering students. It utilizes computer algebra systems such as Mathematica, Maple, and MATLAB plus online platforms like Wolfram|Alpha and GeoGebra, along with traditional manual methods. The text begins and ends with discussion of mathematical modeling of real-world phenomena, evident in its figures, examples, problems and applications. The 6th Edition adds and updates content throughout, including an expanded Application Module for Section 6.4 that discusses COVID-19.
Personalize learning with MyLab Math with Pearson eText This flexible digital platform combines unrivaled content, online assessments, and customizable features to personalize learning and improve results.
Pearson eText is an easy-to-use digital textbook available within MyLab (R) that lets you read, highlight and take notes, all in one place.
NOTE: Before purchasing, check with your instructor to confirm the correct ISBN. Several versions of the MyLab and Mastering (R) platforms exist for each title, and registrations are not transferable. To register for and use MyLab, you will need either a course ID from your instructor or an invitation link that your instructor will send you directly.
Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for the MyLab platform may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
Personalize learning with MyLab Math with Pearson eText This flexible digital platform combines unrivaled content, online assessments, and customizable features to personalize learning and improve results.
Pearson eText is an easy-to-use digital textbook available within MyLab (R) that lets you read, highlight and take notes, all in one place.
NOTE: Before purchasing, check with your instructor to confirm the correct ISBN. Several versions of the MyLab and Mastering (R) platforms exist for each title, and registrations are not transferable. To register for and use MyLab, you will need either a course ID from your instructor or an invitation link that your instructor will send you directly.
Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for the MyLab platform may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
ISBN-13
978-0-13-754051-8 (9780137540518)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Other editions
Previous edition
C. Edwards | David Penney | David Calvis
Mylab Math with Pearson Etext -- 24-Month Standalone Access Card -- For Differential Equations and Boundary Value Problems
Computing and Modeling Tech Update
Book
07/2018
5th Edition
Pearson
€122.64
Shipment within 15-20 days
Persons
About our authors Henry Edwards ?is emeritus professor of mathematics at the University of Georgia. He earned his Ph.D. at the University of Tennessee in 1960; he retired after 40 years of classroom teaching (including calculus or differential equations almost every term) at the universities of Tennessee, Wisconsin and Georgia, with a brief interlude at the Institute for Advanced Study (Princeton) as an Alfred P. Sloan Research Fellow. He has received numerous teaching awards, including the University of Georgia's?honoratus?medal in 1983 (for sustained excellence in honors teaching), its Josiah Meigs award in 1991 (the institution's highest award for teaching), and the 1997 statewide Georgia Regents award for research university faculty teaching excellence.
His scholarly career has ranged from research and dissertation direction in topology to the history of mathematics to computing and technology in the teaching and applications of mathematics. In addition to being author or co-author of calculus, advanced calculus, linear algebra, and differential equations textbooks, he is well-known to calculus instructors as author of The Historical Development of the Calculus (Springer-Verlag, 1979). During the 1990s he served as a principal investigator on three NSF-supported projects: (1) A school mathematics project including Maple for beginning algebra students, (2) A Calculus-with-Mathematica?program, and (3) A MATLAB-based computer lab project for numerical analysis and differential equations students. In 2013 Prof. Edwards was named a Fellow of the American Mathematical Society.
David E. Penney, University of Georgia, completed his Ph.D. at Tulane University in 1965 under the direction of Prof. L. Bruce Treybig while teaching at the University of New Orleans. Earlier he had worked in experimental biophysics at Tulane University and the Veteran's Administration Hospital in New Orleans under the direction of Robert Dixon McAfee, where Dr. McAfee's research team's primary focus was on the active transport of sodium ions by biological membranes. Penney's primary contribution here was the development of a mathematical model (using simultaneous ordinary differential equations) for the metabolic phenomena regulating such transport, with potential future applications in kidney physiology, management of hypertension, and treatment of congestive heart failure. He also designed and constructed servomechanisms for the accurate monitoring of ion transport, a phenomenon involving the measurement of potentials in microvolts at impedances of millions of megohms.
Penney began teaching calculus at Tulane in 1957 and taught that course almost every term with enthusiasm and distinction until his retirement at the end of the last millennium. During his tenure at the University of Georgia he received numerous university-wide teaching awards and directed several doctoral dissertations and 7 undergraduate research projects. He authored research papers in number theory and topology, and was the author or co-author of textbooks on calculus, computer programming, differential equations, linear algebra and liberal arts mathematics. Penney passed away in 2014.
David T. Calvis is Professor of Mathematics at Baldwin Wallace University near Cleveland, Ohio. ?He completed a Ph.D. in complex analysis from the University of Michigan in 1988 under the direction of Fred Gehring. ?While at Michigan he also received a Master's degree in Computer, Information, and Control Engineering. ?Having initially served at Hillsdale College in Michigan, he has been at Baldwin Wallace since 1990, most recently assisting with the creation of an Applied Mathematics program there. ?He has received a number of teaching awards, including BWU's Strosacker Award for Excellence in Teaching and Student Senate Teaching Award. ?He is the author of materials dealing with the use of computer algebra systems in mathematics instruction, and has extensive classroom experience teaching differential equations and related topics.
His scholarly career has ranged from research and dissertation direction in topology to the history of mathematics to computing and technology in the teaching and applications of mathematics. In addition to being author or co-author of calculus, advanced calculus, linear algebra, and differential equations textbooks, he is well-known to calculus instructors as author of The Historical Development of the Calculus (Springer-Verlag, 1979). During the 1990s he served as a principal investigator on three NSF-supported projects: (1) A school mathematics project including Maple for beginning algebra students, (2) A Calculus-with-Mathematica?program, and (3) A MATLAB-based computer lab project for numerical analysis and differential equations students. In 2013 Prof. Edwards was named a Fellow of the American Mathematical Society.
David E. Penney, University of Georgia, completed his Ph.D. at Tulane University in 1965 under the direction of Prof. L. Bruce Treybig while teaching at the University of New Orleans. Earlier he had worked in experimental biophysics at Tulane University and the Veteran's Administration Hospital in New Orleans under the direction of Robert Dixon McAfee, where Dr. McAfee's research team's primary focus was on the active transport of sodium ions by biological membranes. Penney's primary contribution here was the development of a mathematical model (using simultaneous ordinary differential equations) for the metabolic phenomena regulating such transport, with potential future applications in kidney physiology, management of hypertension, and treatment of congestive heart failure. He also designed and constructed servomechanisms for the accurate monitoring of ion transport, a phenomenon involving the measurement of potentials in microvolts at impedances of millions of megohms.
Penney began teaching calculus at Tulane in 1957 and taught that course almost every term with enthusiasm and distinction until his retirement at the end of the last millennium. During his tenure at the University of Georgia he received numerous university-wide teaching awards and directed several doctoral dissertations and 7 undergraduate research projects. He authored research papers in number theory and topology, and was the author or co-author of textbooks on calculus, computer programming, differential equations, linear algebra and liberal arts mathematics. Penney passed away in 2014.
David T. Calvis is Professor of Mathematics at Baldwin Wallace University near Cleveland, Ohio. ?He completed a Ph.D. in complex analysis from the University of Michigan in 1988 under the direction of Fred Gehring. ?While at Michigan he also received a Master's degree in Computer, Information, and Control Engineering. ?Having initially served at Hillsdale College in Michigan, he has been at Baldwin Wallace since 1990, most recently assisting with the creation of an Applied Mathematics program there. ?He has received a number of teaching awards, including BWU's Strosacker Award for Excellence in Teaching and Student Senate Teaching Award. ?He is the author of materials dealing with the use of computer algebra systems in mathematics instruction, and has extensive classroom experience teaching differential equations and related topics.
Content
1. First-Order Differential Equations
1.1 Differential Equations and Mathematical Models
1.2 Integrals as General and Particular Solutions
1.3 Slope Fields and Solution Curves
1.4 Separable Equations and Applications
1.5 Linear First-Order Equations
1.6 Substitution Methods and Exact Equations
2. Mathematical Models and Numerical Methods
2.1 Population Models
2.2 Equilibrium Solutions and Stability
2.3 Acceleration - Velocity Models
2.4 Numerical Approximation: Euler's Method
2.5 A Closer Look at the Euler Method
2.6 The Runge - Kutta Method
3. Linear Equations of Higher Order
3.1 Introduction: Second-Order Linear Equations
3.2 General Solutions of Linear Equations
3.3 Homogeneous Equations with Constant Coefficients
3.4 Mechanical Vibrations
3.5 Nonhomogeneous Equations and Undetermined Coefficients
3.6 Forced Oscillations and Resonance
3.7 Electrical Circuits
3.8 Endpoint Problems and Eigenvalues
4. Introduction to Systems of Differential Equations
4.1 First-Order Systems and Applications
4.2 The Method of Elimination
4.3 Numerical Methods for Systems
5. Linear Systems of Differential Equations
5.1 Matrices and Linear Systems
5.2 The Eigenvalue Method for Homogeneous Systems
5.3 A Gallery of Solution Curves of Linear Systems
5.4 Second-Order Systems and Mechanical Applications
5.5 Multiple Eigenvalue Solutions
5.6 Matrix Exponentials and Linear Systems
5.7 Nonhomogeneous Linear Systems
6. Nonlinear Systems and Phenomena
6.1 Stability and the Phase Plane
6.2 Linear and Almost Linear Systems
6.3 Ecological Models: Predators and Competitors
6.4 Nonlinear Mechanical Systems
6.5 Chaos in Dynamical Systems
7. Laplace Transform Methods
7.1 Laplace Transforms and Inverse Transforms
7.2 Transformation of Initial Value Problems
7.3 Translation and Partial Fractions
7.4 Derivatives, Integrals, and Products of Transforms
7.5 Periodic and Piecewise Continuous Input Functions
7.6 Impulses and Delta Functions
8. Power Series Methods
8.1 Introduction and Review of Power Series
8.2 Series Solutions Near Ordinary Points
8.3 Regular Singular Points
8.4 Method of Frobenius: The Exceptional Cases
8.5 Bessel's Equation
8.6 Applications of Bessel Functions
9. Fourier Series Methods and Partial Differential Equations
9.1 Periodic Functions and Trigonometric Series
9.2 General Fourier Series and Convergence
9.3 Fourier Sine and Cosine Series
9.4 Applications of Fourier Series
9.5 Heat Conduction and Separation of Variables
9.6 Vibrating Strings and the One-Dimensional Wave Equation
9.7 Steady-State Temperature and Laplace's Equation
10. Eigenvalue Methods and Boundary Value Problems
10.1 Sturm - Liouville Problems and Eigenfunction Expansions
10.2 Applications of Eigenfunction Series
10.3 Steady Periodic Solutions and Natural Frequencies
10.4 Cylindrical Coordinate Problems
10.5 Higher-Dimensional Phenomena?
References for Further Study Appendix: Existence and Uniqueness of Solutions Answers to Selected Problems Index
1.1 Differential Equations and Mathematical Models
1.2 Integrals as General and Particular Solutions
1.3 Slope Fields and Solution Curves
1.4 Separable Equations and Applications
1.5 Linear First-Order Equations
1.6 Substitution Methods and Exact Equations
2. Mathematical Models and Numerical Methods
2.1 Population Models
2.2 Equilibrium Solutions and Stability
2.3 Acceleration - Velocity Models
2.4 Numerical Approximation: Euler's Method
2.5 A Closer Look at the Euler Method
2.6 The Runge - Kutta Method
3. Linear Equations of Higher Order
3.1 Introduction: Second-Order Linear Equations
3.2 General Solutions of Linear Equations
3.3 Homogeneous Equations with Constant Coefficients
3.4 Mechanical Vibrations
3.5 Nonhomogeneous Equations and Undetermined Coefficients
3.6 Forced Oscillations and Resonance
3.7 Electrical Circuits
3.8 Endpoint Problems and Eigenvalues
4. Introduction to Systems of Differential Equations
4.1 First-Order Systems and Applications
4.2 The Method of Elimination
4.3 Numerical Methods for Systems
5. Linear Systems of Differential Equations
5.1 Matrices and Linear Systems
5.2 The Eigenvalue Method for Homogeneous Systems
5.3 A Gallery of Solution Curves of Linear Systems
5.4 Second-Order Systems and Mechanical Applications
5.5 Multiple Eigenvalue Solutions
5.6 Matrix Exponentials and Linear Systems
5.7 Nonhomogeneous Linear Systems
6. Nonlinear Systems and Phenomena
6.1 Stability and the Phase Plane
6.2 Linear and Almost Linear Systems
6.3 Ecological Models: Predators and Competitors
6.4 Nonlinear Mechanical Systems
6.5 Chaos in Dynamical Systems
7. Laplace Transform Methods
7.1 Laplace Transforms and Inverse Transforms
7.2 Transformation of Initial Value Problems
7.3 Translation and Partial Fractions
7.4 Derivatives, Integrals, and Products of Transforms
7.5 Periodic and Piecewise Continuous Input Functions
7.6 Impulses and Delta Functions
8. Power Series Methods
8.1 Introduction and Review of Power Series
8.2 Series Solutions Near Ordinary Points
8.3 Regular Singular Points
8.4 Method of Frobenius: The Exceptional Cases
8.5 Bessel's Equation
8.6 Applications of Bessel Functions
9. Fourier Series Methods and Partial Differential Equations
9.1 Periodic Functions and Trigonometric Series
9.2 General Fourier Series and Convergence
9.3 Fourier Sine and Cosine Series
9.4 Applications of Fourier Series
9.5 Heat Conduction and Separation of Variables
9.6 Vibrating Strings and the One-Dimensional Wave Equation
9.7 Steady-State Temperature and Laplace's Equation
10. Eigenvalue Methods and Boundary Value Problems
10.1 Sturm - Liouville Problems and Eigenfunction Expansions
10.2 Applications of Eigenfunction Series
10.3 Steady Periodic Solutions and Natural Frequencies
10.4 Cylindrical Coordinate Problems
10.5 Higher-Dimensional Phenomena?
References for Further Study Appendix: Existence and Uniqueness of Solutions Answers to Selected Problems Index