Okay, I'm trying to create the inverse filter for a blur filter (not the usual sharpen filter). I have the forward transform matrix (taking a vector of all the pixels), and I want to invert it.

In the least squares method for simultaneous adjustment of several parameters, the coefficients of the normal equations are the elements of a symmetric positive-definite matrix. In order to solve the ...

This repository contains code to reproduces the numerical results in the paper "Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton".

Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...

Abstract: The problem of inverting matrices is one that occurs in some problems of practical importance. This paper introduces and evaluates the block algorithm for high performance matrix inversion ...

Abstract: The use of recurrent neural networks for computing inverse matrices is analyzed and experimented. Comparisons in different situations among the used recurrent neural networks are realized.

documentation Improvements or additions to documentation are required by this issue feature request New feature (or a request for one) ...

THE problem of ‘inverting’ singular matrices is by no means uncommon in statistical analysis. Rao 1 has shown in a lemma that a generalized inverse (g-inverse) always exists, although in the case of a ...