Differential Equations with Boundary-Value Problems, 9th edition, by Dennis G. Zill, published by
Cengage Learning, provides a thorough treatment of topics typically covered in a first course in Differential Equations, as well as an introduction to boundary-value problems and partial differential equations. This proven and easy-to-understand book speaks to beginning engineering and math students through a wealth of pedagogical aids, including an abundance of examples, explanations, "Remarks" boxes, definitions, and more. The WebAssign component for this text engages students with immediate feedback, a complete eBook, and a question bank of end-of-section exercises.
All questions feature Read It and Talk to a Tutor links.
Question 1 demonstrates interval grading, which can grade any canonically equivalent interval and enforces proper notation. Identical answer blanks handle zero, one, or multiple critical points.
Question 2 has the student find particular solutions through specified points. Part (a) accepts any solution in terms of an arbitrary or specific constant.
Question 3 contains a Watch It link to a video example that explains the solution method.
Question 4 features a randomized Bernoulli DE, where the solution can be entered implicitly or explicitly, and in terms of any arbitrary constant.
Question 5 shows an LR-series circuit application, where the student fills in each part of the piecewise-defined solution.
Question 6 features a mathematical model describing a real-world problem, where the student analyzes the end-behavior of the solution.
Question 7 illustrates how series are handled.
Question 8 utilizes special grading for the solution involving vectors and arbitrary constants.
Question 9 showcases expandable matrices, where the student determines the size of the matrix product, just as they would on paper.
Question 10 demonstrates how eigenvalues can be listed in any order, the number and size of the eigenvectors are defined by the student, and any correct eigenvector is accepted.
This demo assignment allows many submissions and allows you to try another version of the same question for practice wherever the problem has randomized values.