Student Solutions Manual for Differential Equations
$79.99
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| Trade Discount | 5 + | 25% |
- Description
- Additional information
Description
For one-semester sophomore- or junior-level courses in Differential Equations.
The right balance between concepts, visualization, applications, and skills — now available with MyLab Math
Differential Equations: Computing and Modeling provides the conceptual development and geometric visualization of a modern differential equations course that is essential to science and engineering students. It balances traditional manual methods with the new, computer-based methods that illuminate qualitative phenomena — a comprehensive approach that makes accessible a wider range of more realistic applications.
The book starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout.
For the first time, MyLab™ Math is available for this text, providing online homework with immediate feedback, the complete eText, and more. Additionally, new presentation slides created by author David Calvis are available in Beamer (LaTeX) and PDF formats. The slides are ideal for classroom lectures and student review, and combined with Calvis’ superlative instructional videos offer a level of support not found in any other Differential Equations course.
Also available with MyLab Math
MyLab™ Math is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student. Learn more about MyLab Math.
- MyLab Math is now available with this title. MyLab™ Math is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student. Learn more about MyLab Math.
- Nearly 700 assignable exercises are based on the textbook exercises, and regenerate algorithmically to give students unlimited opportunity for practice and mastery. Most exercises include learning aids, such as guided solutions, sample problems, and extra help at point-of-use, and offer helpful feedback when students enter incorrect answers.
- Address gaps in prerequisite skills with the assignable Additional Review for Differential Equations chapter, which contains support for students with just-in- time remediation of key calculus and precalculus objective and exercises, to ensure they are adequately prepared with the prerequisite skills needed to successfully complete their course work.
- Instructional videos created by the authors are available as learning aids within exercises and for self-study within the Multimedia Library. Instructors can assign questions that relate to the videos in order to gauge student comprehension of concepts use the videos in class or as a supplementary resource on specific topics.
- Presentation slides created by author David Calvis are now live in MyLab Math, available in Beamer and PDF formats. The slides are ideal for both classroom lecture and student review, and combined with Calvis’ superlative videos offer a level of support not found in any other DE course.
- The Instructor Solution Manual, available within MyLab Math, provides worked-out solutions for most of the problems in the book. The Student Solution Manual, available within MyLab Math and in print, contains solutions for most of the odd numbered problems.
Content Updates
The effectiveness of the Applications Modules are greatly enhanced by the material available at the new Expanded Applications website and MyLab Math. Typical materials include an expanded PDF version of the text with further discussion or additional applications, with files in a variety of platforms including Mathematica, Maple, and MATLAB. These projects typically provide brief segments of appropriate computer syntax at the point of student need; over time, the student develops the ability to use technology to address a wide range of problems in differential equations. Students can access the module resources through MyLab Math or directly at this website: https://media.pearsoncmg.com/aw/aw_edwardspenney_epdebvp5e_19/app/index.html .
For one-semester sophomore- or junior-level courses in Differential Equations.
Fosters the conceptual development and geometric visualization students need–now available with MyLab Math
Differential Equations: Computing and Modeling blends traditional algebra problem-solving skills with the conceptual development and geometric visualization of a modern differential equations course that is essential to science and engineering students. It balances traditional manual methods with the new, computer-based methods that illuminate qualitative phenomena–a comprehensive approach that makes accessible a wider range of more realistic applications.
The book starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout. For the first time, MyLab™ Math is available for the 5th Edition, providing online homework with immediate feedback, the complete eText, and more. Additionally, new presentation slides created by author David Calvis are now live in MyLab Math, available in Beamer (LaTeX) and PDF formats. The slides are ideal for both classroom lectures and student review, and combined with Calvis’ superlative videos offer a level of support not found in any other Differential Equations course.
Also available with MyLab Math
MyLab™ Math is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student.
Note: You are purchasing a standalone product; MyLab Math does not come packaged with this content. Students, if interested in purchasing this title with MyLab Math, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Math, search for:
0134996003 / 9780134996004 Differential Equations: Computing and Modeling Media Update and MyLab Math with Pearson eText — Title-Specific Access Card Package, 5/e
Package consists of:
-
0134850475 / 9780134850474 Differential Equations: Computing and Modeling Media Update
-
0134873084 / 9780134873084 MyLab Math plus Pearson eText — Standalone Access Card – for Differential Equations: Computing and Modeling Media Update
About the Book
Teaches the basic theory of differential equations while exploring a variety of realistic applications
- Fresh numerical methods emphasis – Made possible by the early introduction of numerical solution techniques, mathematical modeling, stability and qualitative properties of differential equations. The text includes generic numerical algorithms that can be implemented in various technologies.
- 44 Application Modules – Follow key sections throughout the text, and actively engage students, most providing computing projects that illustrate the content of the corresponding text sections.
- NEW – The effectiveness of these modules are greatly enhanced by the material available at the new Expanded Applications website and MyLab Math.
- Typical materials include an expanded PDF version of the text with further discussion or additional applications, with files in a variety of platforms including Mathematica, Maple, and MATLAB.
- These projects provide brief segments of appropriate computer syntax at the point of student need; over time, the student develops the ability to use technology to address a wide range of problems in differential equations.
- Students can access the module resources through MyLab Math or directly at this website: https://media.pearsoncmg.com/aw/aw_edwardspenney_epdebvp5e_19/app/index.html
- Leaner and more streamlined coverage – Allows students to learn traditional manual topics (like exact equations and variation of parameters) more easily.
Gives instructors flexibility and students a wide range of practice with exercises and assignments
- Approximately 2000 problems – These problems span the range from computational problems to applied and conceptual problems.
- The expansive answer section increases its value as a learning tool and includes the answers to most odd-numbered, and many even-numbered problems.
- Emphasis on the intersection of technology and ODEs – Recognizes the need to instruct students in the new methods of computing differential equations.
- Shows students the software systems tailored specifically to differential equations as well as the widely used Maple, Mathematica, and MATLAB.
Check out the preface for a complete list of features and what’s new in this edition.
NEW – MyLab Math now available with this text
Reach every student with MyLab
- Deliver trusted content: You deserve teaching materials that meet your own high standards for your course. That’s why we partner with highly respected authors to develop interactive content and course-specific resources that you can trust—and that keep your students engaged.
- The complete eText is available to students through their MyLab Math course, giving students unlimited access to the eText.
- Instructional videos created by the authors are available as learning aids within exercises and for self-study within the Multimedia Library. Instructors can assign questions that relate to the videos in order to gauge student comprehension of concepts use the videos in class or as a supplementary resource on specific topics.
- Empower each learner: Each student learns at a different pace. Personalized learning pinpoints the precise areas where each student needs practice, giving all students the support they need—when and where they need it—to be successful.
- Nearly 700 assignable exercises are based on the textbook exercises, and regenerate algorithmically to give students unlimited opportunity for practice and mastery. Most exercises include learning aids, such as guided solutions, sample problems, and extra help at point-of-use, and offer helpful feedback when students enter incorrect answers.
- Address gaps in prerequisite skills with the assignable Additional Review for Differential Equations chapter, which contains support for students with just-in- time remediation of key calculus and precalculus objective and exercises, to ensure they are adequately prepared with the prerequisite skills needed to successfully complete their course work.
- Presentation slides created by author David Calvis, available in Beamer (LaTeX) and PDF formats. The slides are ideal for both presentation and student review and offer a level of support not found in any other Differential Equations course.
- Teach your course your way: Your course is unique. So whether you’d like to build your own assignments, teach multiple sections, or set prerequisites, MyLab gives you the flexibility to easily create your course to fit your needs.
- Improve student results: When you teach with MyLab, student performance often improves. That’s why instructors have chosen MyLab for over 15 years, touching the lives of over 50 million students.
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
C. Henry Edwards is emeritus professor of mathematics at the University of Georgia. He earned his Ph.D. at the University of Tennessee in 1960, and 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 (late), 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 as well as directing several doctoral dissertations and seven undergraduate research projects. He is the author of research papers in number theory and topology and is the author or co-author of textbooks on calculus, computer programming, differential equations, linear algebra, and liberal arts mathematics.
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 a number of materials dealing with the use of computer algebra systems in mathematics instruction, and has extensive classroom experience teaching differential equations and related topics.
Additional information
| Dimensions | 1.15 × 8.50 × 10.85 in |
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| Subjects | mathematics, MAT005000, higher education, Calculus, Applied & Advanced Math, Advanced Math, Differential Equations |
