For introductory courses in Differential Equations. This best-selling text by these well-known authors blends the 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 reflects the new qualitative approach that is altering the learning of elementary differential equations, including the wide availability of scientific computing environments like Maple, Mathematica, and MATLAB. Its focus balances the traditional manual methods with the new computer-based methods that illuminate qualitative phenomena and make accessible a wider range of more realistic applications. Seldom-used topics have been trimmed and new topics added: it starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout the text.
stopped updating but i read all the sections on the syllabus! not a fun class maybe cool if i was into physical engineering but a fella like me only cares about 1s and 0s (no i will not acknowledge circuit modeling). i cant wait to give this book to dave so he can tell me how freaking easy it is and how dumb i am. i love that kid im so excited to see him on friday😁 good book tho very thorough. apparently this book has family lore dr tran said hes been teaching from this book for like 20 sum years?? i can see why tho i like the modeling sections and how it teaches you how you use my favorite guilty pleasure language (matlab😋) to model the equations
As a math textbook it was pretty clear. I would have liked more examples and there were some concepts that I had to look up online to understand. But overall, made differential equations pretty doable.
Fallen way behind on the surge of textbooks I've been rereading over the last two weeks. I had the custom UIUC edition for this one, which was marred by missing sections. While the general examples and problems were pretty strong in the text, I found the applications sections to be a bit too unfocused (everything from statistics to biology to physics appeared) for learning. The overuse of boldfaced terms and the lack of too many boxed procedures or formulae made the book good to learn from, but not really useful as a reference later.