6.21: Validating Simulation Results,Curve Fitting,Linear Regression

Add to Favourites
Post to:

Description
In this lecture we will be validating Simulation results and discussing about curve fitting and linear regression.The random number generator is not truly random, it's what's called pseudo-random, in that if you start it with the same initial conditions, it will give you the same results. But it's close enough for, at least for government work, and other useful projects.
Here we will be discussing about finding of Pi value and statistical methods such as curve fitting and linear regression.



"Prof. Eric Grimson& Prof. John Guttag, 6.21: Validating Simulation Results,Curve Fitting,Linear Regression, 6.00 Introduction to Computer Science and Programming, Massachusetts Institute of Technology: MIT OpenCourseWare),http://ocw.mit.edu (30-07-2011). License: Creative Commons BY-NC-SA: http://ocw.mit.edu/terms/#cc"

Comments

Want to learn?

Sign up and browse through relevant courses.

Name:
Your Email:
Password:
Country:
Contact no:


Area code Number
Subjects you are interested in:
Word verification: (Enter the text as in image)


Sign Up Already a member? Sign In
I agree to WizIQ's User Agreement & Privacy Policy
LearnOnline Through OCW
OpenCourseWare
User
102 Followers

Your Facebook Friends on WizIQ

Give live classes, create & sell online courses

Try it free Plans & Pricing

Connect