These are 10 of the most common for loop algorithms used when working with two-dimensional arrays, also known as matrices. Each algorithm uses nested for loops to visit every value in a grid of data.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Matrices are two-dimensional arrays and are widely used in mathematics and computer science for storing and manipulating data. Common matrix operations include displaying the matrix, matrix addition, ...

Abstract: A smart antenna is actually a fusion of an array that changes individual antenna elements patterns in response of a dedicated signal to improve performance. Moving one step beyond of beam ...