The Five College Consortium is hosting the DataFest contest in two weeks, starting Friday 03/28 and finishing Sunday 03/30. Here’s the text from the official website. DataFest is a nationally-coordinated undergraduate competition in which teams of up to 5 students work over a weekend to extract insight from a rich and complex data set. Last year’s data (this year’s will not be revealed until the event begins) … Continue reading Five College DataFest
As you probably know, there are two kinds of linear system solvers out there. “Exact” like the Gauss elimination Iterative like Jacobi or Gauss – Seidel (yes, it’s the same Gauss. This guy is everywhere!) Today I want to talk about another method, the one invented by Kaczmarz (as well as a few other people, you can check Wikipedia to learn more about them). This method … Continue reading The Kaczmarz method for solving linear systems of equations
It seems that at last, the two main communities that design commercial GPU accelerated toolboxes for Matlab, Mathworks & AccelerEyes, have agreed to share knowledge and expertise. Quoting from the AccelerEyes blog We are pleased to announce today that MathWorks and AccelerEyes have started working together to provide the best overall solution for GPU computing in MATLAB® through the Parallel Computing Toolbox™ and MATLAB Distributed Computing Server™ from MathWorks. … Continue reading AccelerEyes + Mathworks for a better parallel computing toolbox
So, this post is mainly for the people who took the Math697SC course, Computational methods for stochastic systems this semester from the maths department at UMass, but then I thought the info might be of interest to more people than that, so instead of writing an email, I wrote everything directly here. We talked about a couple of things during my presentation and I thought … Continue reading More random stuff …
This post doesn’t feature any real math. You’ve been warned. Now on to the stuff I found out about. The first two have to do with matlab. Now, I honestly can’t believe that I’ve been working with matlab for so long and I didn’t know about hold all. Of course, I’ve been using hold on/off a lot. But let me take if from the top. … Continue reading A couple of the random stuff I learned during the previous weeks …
Everything the creator of Matlab has to say is worth reading. Check out his posts here. Continue reading Cleve Moler’s corner
Here are a couple of questions from the Mathworks site, for anyone who might be interested in getting the Matlab associate certification. They should be easy for anyone doing anything serious with that amazing package. Just be careful while reading the questions and don’t try for the easy answer. GO! Which command will return the corner elements of a 10-by-10 matrix A? A. A([1,end], [1,end]) B. A([1,1], … Continue reading So you think you can be a MathWorks Certified MATLAB Associate?
Hi all and welcome to another vect tip of the week. So, while doing a homework for a numerical solution of partial differential equations class (or NSoPDE, as I call it), I thought about if I could write the Newton’s method in Matlab so that I could make it faster. But first, let’s do a little recap of what Newton’s method is. Think about your … Continue reading Vect tip of the week : Newton’s method
So, due to a HW assignment I work on, I needed to have a fast code that computes the nth degree Legendre polynomial. Looking around, I found out that Matlab has a built-in function, y = legendre(n,x), that calculates the value of associated Legendre polynomials up to n for x. If x is a scalar, y is a vector. If x is a vector, y is … Continue reading Legendre polynomials in MatLab
Hi all. As every week*, we will have a tip for those who want to vectorize their matlab programs, for reasons already stated in earlier posts. In this case, we will look at the vectorization of piecewise functions. Let’s say you have a function like this : which, when plotted, would look like this OK. So, what’s the deal? Well, from the earlier posts on … Continue reading Vect tip of the week : Vectorization of piecewise functions
R196, Hilbert's Hotel 