July 2015
Intermediate to advanced
410 pages
8h 22m
English
Content preview from Mastering JuliaBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
This chapter has covered a diverse range of topics arising from the discipline of scientific computing.
We began by looking at classical linear algebra problems, the solutions of which are provided by routines from within the Julia base system. For the remaining sections, we turned to a variety of packages and applied them to examples from signal processing, optimization, and the solution of ordinary and partial differential equations.
Finally, we turned to an area in which the use of Julia is particularly well suited, the solution of non-vectorized problems such as those arising from stochastic processes modeled by Monte Carlo methods.
In the next chapter, we will look in greater detail at the question of production of graphics and data ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.