Computational Science and Engineering
Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6)... The book is solution-based and not formula-based: it integrates analysis and algorithms and MATLAB codes to explain each topic as effectively as possible. The topics include applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis and optimization. This book also serves as a reference for the whole community of computational scientists and engineers. Supporting resources, including MATLAB codes, problem solutions and video lectures from Gilbert Strang's 18.085 courses at MIT, are provided at math.mit.edu/cse"--Publisher's website.
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5recommend
11mentions
10people
2011–2024years
45% recommend55% neutral
Mentions per year
What Hacker News says
- Perhaps "Computational Science and Engineering" is a better fit for you?
- There are many excellent courses available online if you wished to take a look.
See MIT OCW Scholar's Linear Algebra offering: https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algeb...
Take a look at the final exam and see if it seems like something you've seen. If not, I strongly urge you to consider studying the subject.
A book that shows linear algebra's applications at a more advanced level is Strang's Computational Science and Engineering: http://math.mit.edu/~gs/cse/
- A good general introduction to the topic is Strang's "Computational Science and Engineering" (http://bookstore.siam.org/WC07/) - basically numerical mathematics, but with applications in simulations for science and engineering.
- After the LA intro courses, see Strangs "Computational Science and Engineering":
* http://www.youtube.com/view_play_list?p=F706B428FB7BD52C
* http://www.youtube.com/view_play_list?gl=DE&hl=de&p=...
based on the book of the same name. This is one of "name 5 books you would take with you on a desert island" kind of books, a beautiful work of art.
- Certainly nothing remotely comparable to SICP exists. From my point of view people who are interested in these topics are much better off getting some intuition for basic problems in scientific computing and then making the requisite connections themselves. I can wholeheartedly recommend the recent book by Gilbert Strang "Computational Science and Engineering" [1] and companion video lectures for MIT courses 18.085 and 18.086.
- Computational Science and Engineering by Gilbert Strang
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