Holston Sebaugh

[Holston Sebaugh @holston_sebaugh]

https://t.co/B3dsI7mcdd
An updated link after being made aware of access issues

[Holston Sebaugh @holston_sebaugh]

https://t.co/2yEBaayTyt
Here's a terrific reference for first and second order ODE45 solvers with pseudo code! #math3185

[Holston Sebaugh @holston_sebaugh]

@austinharper59 It's good to see Euler's method again along with how we measure step size of the algorithm!

[Holston Sebaugh @holston_sebaugh]

@c_eleazarV It was really interesting to see how they overlaid the gradients of functions on topographical maps.

[Holston Sebaugh @holston_sebaugh]

https://t.co/rFzfgPdCZm
Here's an interesting video I found that gives a geometric interpretation of the simplex method. It's really cool to be able to see a visualisation of it!
#math3185

[Holston Sebaugh @holston_sebaugh]

@CamPerkinsQB Thanks Cam! This is a really helpful article if you need a quick reminder

[Holston Sebaugh @holston_sebaugh]

@c_eleazarV Singular value decomposition is an amazing method, where we can take a complex matrices and reduce it to a simpler one to manipulate, it's similar to how Disney animates their cgi models with a high number of points!

[Holston Sebaugh @holston_sebaugh]

@CamPerkinsQB It's good to have quick go to references, thanks Cam! This helps keep fresh on the brain that a R^2 coefficient closer to 1 is more accurate than one towards zero

[Holston Sebaugh @holston_sebaugh]

https://t.co/ZSR0M6c0R1
While we fit cosine models to our previous project with different methods, here a group of programmers used python's machine learning capability to tackle this issue in a much more robust manner
#math3185

[Holston Sebaugh @holston_sebaugh]

@austinharper59 What a good article to give us a full breakdown of fminsearch and the options allotted for it within it's programming!

[Holston Sebaugh @holston_sebaugh]

https://t.co/yBErxc2ioh

This is a really interesting article that not only walks through linear optimization, but also different forms of solving including using Excel, graphically, and the simplex method! #math3185

[Holston Sebaugh @holston_sebaugh]

@CamPerkinsQB Wow Cam! What an in depth article! Also as an avid milk drinker I really enjoyed how it walked through what the variables represented and how the linear regression fully worked through it.

[Holston Sebaugh @holston_sebaugh]

@c_eleazarV I really enjoyed the visual representations going through the article and the summation representation

[Holston Sebaugh @holston_sebaugh]

@austinharper59 I really enjoyed how the article pointed out that the least squares line midpoint passes through the mean value of x and y!

[Holston Sebaugh @holston_sebaugh]

https://t.co/RwTvuZWQCJ

I really liked this example because it does an in depth walkthrough of least squares regression and provides code #math3185

[Holston Sebaugh @holston_sebaugh]

@austinharper59 I really enjoyed this example because it showed the different ways you can calculate the LaGrange and Newtonian Interpolations, whether it's in equation form, programming, or by tables!

[Holston Sebaugh @holston_sebaugh]

@austinharper59 @CamPerkinsQB That's a very in depth article Cam! While the Matlab code is very well laid out, we can take it and make it more reader friendly by making variable names more clear and commented out

[Holston Sebaugh @holston_sebaugh]

https://t.co/4Ov0NHrqT6.
I enjoyed this article because it gave a very physical description of spline; for one example it explained how a spline is similar to spreading a rubber sheet on the points and reduce curvature.
#math3185

[Holston Sebaugh @holston_sebaugh]

@c_eleazarV That's an interesting pseudo code, I'm curious on how'd we'd implent it in current code we have!

[Holston Sebaugh @holston_sebaugh]

@CamPerkinsQB I really liked the article Cam! Especially when looking at LaGrange Interpolations to fit the data. It's also interesting to see how different methods can provide similar results depending on the situation