Tag: Getting Started

Learn SAS
Rick Wicklin 0
The Hilbert matrix: A vectorized construction

The Hilbert matrix is the most famous ill-conditioned matrix in numerical linear algebra. It is often used in matrix computations to illustrate problems that arise when you compute with ill-conditioned matrices. The Hilbert matrix is symmetric and positive definite, properties that are often associated with "nice" and "tame" matrices. The

Learn SAS
Rick Wicklin 0
How to vectorize time series computations

Vector languages such as SAS/IML, MATLAB, and R are powerful because they enable you to use high-level matrix operations (matrix multiplication, dot products, etc) rather than loops that perform scalar operations. In general, vectorized programs are more efficient (and therefore run faster) than programs that contain loops. For an example

Students & Educators
Ralph Moore 0
Technology Integration: Where do I start?

When working with teachers in professional-development sessions, I try not to sugar-coat the reality of technology integration. It takes time and hard work to design and implement high-quality, technology-infused lesson plans. Just think about the steps involved in this process: identify a curriculum requirement, find and evaluate digital resources, plan

Learn SAS
Rick Wicklin 0
The GCD and LCM functions in SAS

My daughter's middle school math class recently reviewed how to compute the greatest common factor (GCF) and the least common multiple (LCM) of a set of integers. (The GCF is sometimes called the greatest common divisor, or GCD.) Both algorithms require factoring integers into a product of primes. While helping

Learn SAS
Rick Wicklin 0
Rotating matrices

This article is about rotating matrices. No, I don't mean "rotation matrices," I mean rotating matrices. As in turning a matrix 90 degrees in a clockwise or counterclockwise direction. I was reading a program written in MATLAB in which the programmer used a MATLAB function called ROT90, which rotates a

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