Skip to Content
Computational Modeling and Visualization of Physical Systems with Python
book

Computational Modeling and Visualization of Physical Systems with Python

by Jay Wang
January 2016
Intermediate to advanced
492 pages
17h 34m
English
Wiley
Content preview from Computational Modeling and Visualization of Physical Systems with Python

Chapter 3

Realistic projectile motion with air resistance

One of the most classic and well-known problems in physics is projectile motion. Tossing a ball in the air, we expect to see it move in a familiar arched path. Under ideal conditions assuming constant gravitational acceleration and negligible air resistance, projectile motion is analytically solvable, i.e., its solutions are expressible in closed-form, known functions. Its properties such as the parabolic path are well explained from introductory physics. Free fall discussed in Chapter 2 is a special case of one-dimensional ideal projectile motion, while the general case is three-dimensional.

To describe realistic projectile motion, we need to consider the effects of air resistance, or drag, which can be significant and interesting. However, the inclusion of these effects renders the problem analytically nonsolvable, and no closed-form solutions are known except under limited conditions. Numerically, this presents no particular difficulty for us, given the toolbox and ODE solvers we just developed in Chapter 2. In fact, realistic projectile motion is an ideal case study for us to begin application of these numerical and visualization techniques to this classic problem in this chapter, for it is relatively simple, intuitive, and its basic features are already familiar to us. We will learn to construct models of appropriate degree of complexity to reflect the effects of drag and spin. Furthermore, we will also discuss the ...

Become 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,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’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.
Head of Cybersecurity
QuotationMarkI 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.
Field Engineer
QuotationMarkI’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.
Data Platform Tech Lead
QuotationMarkI'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.
Mark W.
Embedded Software Engineer

You might also like

Introduction to Computational Models with Python

Introduction to Computational Models with Python

Jose M. Garrido
Scientific Computing with Python 3

Scientific Computing with Python 3

Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier

Publisher Resources

ISBN: 9781118110225