2019 Spring - MAT 2680 - Reitz

Hi everyone,

Your overall grade (out of 20 possible) for the numerical methods project has been posted under Dashboard/OpenLab Gradebook.  The scoring guide that I used to assess your work is given below.  If you’d like more details about your score, please send me an email or ask me after class.

Regards,
Prof. Reitz

NUMERICAL METHODS PROJECT

SCORING GUIDE

20 points total (Written Assignment + Implementation)

WRITTEN ASSIGNMENT – OpenLab (5 points total):

• 1 point – 300 words minimum
• 2 points – Describe project & how it works, Describe process of building it (what tech did you use/why? Unexpected challenges?)
• 1 point – Why do we need numerical methods?  Why is this assignment included in the class?
• 1 point – include link or state you will send by email

IMPLEMENTATION (15 points total):

3 points: General setup

• 2 points – Correct differential equation: dy/dx = x^2/(y-1)
• 1 point – Correct initial condition y(-1)= -0.5

4 points: Euler’s Method

• 2 points – functioning solution, displays x,y,f(x,y) at each stage
• 1 point – correct x-target value
• 1 point – four digits of accuracy after decimal:  y(2)=-1.87228… (will accept -1.8722 or -1.8723), optimum # of steps 11795

4 points: Improved Euler’s Method

• 2 points – functioning solution, displays x,y,k1,k2 at each stage
• 1 point – correct x-target value
• 1 point – four digits of accuracy after decimal:  y(2)=-1.87228… (will accept -1.8722 or -1.8723), optimum # of steps 291

4 points: Runge-Kutta Method

• 2 points – functioning solution, displays x,y,k1,k2,k3,k4 at each stage
• 1 point – correct x-target value
• 1 point – four digits of accuracy after decimal:  y(2)=-1.87228… (will accept -1.8722 or -1.8723), optimum # of steps 12