Computational Science and Engineering
by Gilbert Strang · first published 2007
50% recommend50% neutral
Why HN recommends it
Broad introduction to numerical methods for science and engineering simulation, building intuition for basic problems; suits readers who have finished linear algebra and want to see its applications.
Summarised by Claude from recommending comments
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 d
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…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. 1. http://www-math.mit.edu/cse/
on “Recommended Readings in AI - a list by Russell and Norvig” ↗…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/
on “Essence of linear algebra [video]” ↗Perhaps "Computational Science and Engineering" is a better fit for you? http://math.mit.edu/~gs/cse/
on “Strang's “Linear Algebra and Learning from Data” is printed and available” ↗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…
on “Surprises from numerical linear algebra (2010)” ↗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.
on “Full Scale Simulation of SpaceX's Mars Rocket Engine [video]” ↗Yes, and on a related note: Today morning I skimmed the preface to Computational Science and Engineering by Gilbert Strang, and he also states, that (at least some) math should be thought alongside applications and algorithms, which, since these used to be intense topics, have been traditionally separated…
on “Udacity and the future of online universities” ↗Do you know a reference that presents state estimation from this point of view? I have painstakingly arrived to this myself, following somewhat sketchy remarks in Gilbert Strang's "Computational Science and Engineering". The classical exposition is a perfect example of confounding the model and the algorithm but it just refuses to die.
on “Using A Kalman Filter To Make Sense Of Noisy Data” ↗I don't know how proof heavy this course is and it is not specialized on graphs: "Computational Science and Engineering I" -- Gilbert Strang (MIT) https://ocw.mit.edu/courses/18-085-computational-science-and...
on “Matrices and Graph” ↗Computational Science and Engineering by Gilbert Strang
on “The Princeton Companion to Applied Mathematics” ↗Broadly speaking, the field is Computational Science and Engineering (CS&E). It occupies the space between applied mathematics, engineering, physics, and software (high and low level). CS&E picks up around where physicists write the equations they would like to solve and…
on “When Will I Use Math?” ↗I am an M.S. Computational Science and Engineering student who has experience in CUDA programming for general purpose graphics processing units (GPGPUs). If you haven't heard of this, it is a utilization of your graphics card to tremendously speed up…
on “Ask HN: Students, Scientists, and Engineers: Need to Speed Up Your Programs?” ↗