September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Chapter 9. Numerical Optimization
In this chapter, we will cover the following topics:
- Finding the root of a mathematical function
- Minimizing a mathematical function
- Fitting a function to data with nonlinear least squares
- Finding the equilibrium state of a physical system by minimizing its potential energy
Introduction
Mathematical optimization is a wide area of applied mathematics. It consists of finding the best solution to a given problem. Many real-world problems can be expressed in an optimization framework. What is the shortest path on the road from point A to point B? What is the best strategy to solve a puzzle? What is the most energy-efficient shape of a car (automotive aerodynamics)? Mathematical optimization is relevant in many domains including ...
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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.