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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 | Programming Tips | Students & Educators
Nadja Young 0
Calling all High School STEM educators! Teach Your Students 21st Century Computer Science Skills

STEM skills are essential for many of the fastest-growing and most lucrative occupations. And SAS programmers are in high demand in all fields. A number of reports have documented a critical talent shortage, especially for graduates with advanced degrees in math, computer science or computer engineering. (See Running on Empty, Report to

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

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