Artificial intelligence has been built on the idea that giving machines more time, data, and computing power improves their performance. This belief has guided the direction of AI research and ...

Hi I just trying strumpack for inverse matrix in Windows. it worked. just a hiccups in libgk building. but i see some problems later. i saw the examples wrapper src\\fortran\\strumpack.f90 and src\\st ...

Such estimation problems often represent inverse problems that are formulated as linear optimization problems. Computational limitations arise when the number of observations and/or the size of the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

For example, a matrix that has a pair of identical rows, or a pair of identical columns, does not have a matrix. In such cases the demo implementation will not fail, but instead the demo inverse ...

Following the break-out success of The Matrix in 1999, 2003 was the biggest year for the franchise by far, with its second and third installments, The Matrix Reloaded and The Matrix Revolutions ...

Here, we propose a new method for detecting communities in sparse networks that uses the symmetrized Laplacian inverse matrix (SLIM) to measure the closeness between nodes. The idea comes from the ...

Given a sparse matrix A, we define and discuss a matrix B that approximates A–1, has exactly the same sparsity structure as A, and varies contravariantly with A. Unlike many other sparse inverse ...

The pseudo-inverse solver accepts the Jacobian matrix J from the environment and calculates the velocity ˙q q of robot joints in the current state by combining interference ˙i i according to the ...