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A Course in Differential Equations with Boundary Value Problems,
2nd Edition adds additional content to the author's successful A
Course on Ordinary Differential Equations, 2nd Edition. This text
addresses the need when the course is expanded. The focus of the
text is on applications and methods of solution, both analytical
and numerical, with emphasis on methods used in the typical
engineering, physics, or mathematics student's field of study. The
text provides sufficient problems so that even the pure math major
will be sufficiently challenged. The authors offer a very flexible
text to meet a variety of approaches, including a traditional
course on the topic. The text can be used in courses when partial
differential equations replaces Laplace transforms. There is
sufficient linear algebra in the text so that it can be used for a
course that combines differential equations and linear algebra.
Most significantly, computer labs are given in MATLAB (R),
Mathematica (R), and Maple (TM). The book may be used for a course
to introduce and equip the student with a knowledge of the given
software. Sample course outlines are included. Features MATLAB (R),
Mathematica (R), and Maple (TM) are incorporated at the end of each
chapter. All three software packages have parallel code and
exercises; There are numerous problems of varying difficulty for
both the applied and pure math major, as well as problems for
engineering, physical science and other students. An appendix that
gives the reader a "crash course" in the three software packages.
Chapter reviews at the end of each chapter to help the students
review Projects at the end of each chapter that go into detail
about certain topics and introduce new topics that the students are
now ready to see Answers to most of the odd problems in the back of
the book
A Course in Differential Equations with Boundary Value Problems,
2nd Edition adds additional content to the author's successful A
Course on Ordinary Differential Equations, 2nd Edition. This text
addresses the need when the course is expanded. The focus of the
text is on applications and methods of solution, both analytical
and numerical, with emphasis on methods used in the typical
engineering, physics, or mathematics student's field of study. The
text provides sufficient problems so that even the pure math major
will be sufficiently challenged. The authors offer a very flexible
text to meet a variety of approaches, including a traditional
course on the topic. The text can be used in courses when partial
differential equations replaces Laplace transforms. There is
sufficient linear algebra in the text so that it can be used for a
course that combines differential equations and linear algebra.
Most significantly, computer labs are given in MATLAB (R),
Mathematica (R), and Maple (TM). The book may be used for a course
to introduce and equip the student with a knowledge of the given
software. Sample course outlines are included. Features MATLAB (R),
Mathematica (R), and Maple (TM) are incorporated at the end of each
chapter. All three software packages have parallel code and
exercises; There are numerous problems of varying difficulty for
both the applied and pure math major, as well as problems for
engineering, physical science and other students. An appendix that
gives the reader a "crash course" in the three software packages.
Chapter reviews at the end of each chapter to help the students
review Projects at the end of each chapter that go into detail
about certain topics and introduce new topics that the students are
now ready to see Answers to most of the odd problems in the back of
the book
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