December 2013
Beginner to intermediate
286 pages
5h 46m
English
Content preview from F# for Quantitative FinanceBecome 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
In this chapter, we looked deeper into F# and numerical analysis and how well the two fit together because of the functional syntax of the language. We covered algorithm implementation, basic numerical concerns, and the Math.NET library. After reading this chapter, you will be more familiar with both F# and numerical analysis and be able to implement algorithms yourself. At the end of the chapter, an example using the bisection method was covered. This method will prove to be very useful later on when we talk about Black-Scholes and implied volatility.
In the next chapter, we will build on what we learned so far and extend our current knowledge with data visualization, basic GUI programming, and plotting financial data.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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.