Using literate programming, complete Gofer code to invert a floating-point quadtree matrix is presented along with exposition. The code is a full implementation some of the algorithms presented in "UndulantBlock Pivoting and Integer-Preserving Matrix Inversion" [4] by the second author. CR categories and Subject Descriptors: G.1.3 [Numerical Linear Algebra]: Matrix inversion, Sparse and very large systems; E.1 [Data Structures]: Trees; D.1.1 [Applicative (Functional) Programming Techniques]; I.1.2 [Algebraic Manipulation]: Algebraic algorithms; D.2.7 [Distribution and Maintenance]: Documentation; C.1.2 [Multiple Data Stream Architectures (Multiprocessors)]: Parallel processors. General Term: Algorithms. Additional Key Words ...
The solution to a set of simultaneous equations is of the form A-1 B = X where A-1 is the inverse of...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
AbstractWe introduce proof rules for inverting a program. We derive an algorithm to compute the preo...
Using literate programming, complete Gofer code to invert a floating-point quadtree matrix is presen...
AbstractA new formulation for LU decomposition allows efficient representation of intermediate matri...
Many scheduling and synchronization problems for large-scale multiprocessing can be overcome using f...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
A technique for supporting quadtree matrices in a lazy functional langauge is presented that amelior...
An algorithm for inversion in GF(2m) suitable for im-plementation using a polynomial multiply instru...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
The problem of matrix inversion is central to many applications of Numerical Linear Algebra. When th...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
A proof of concept is offered for the uniform representation of matrices serially in Morton-order (o...
As the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of ...
The solution to a set of simultaneous equations is of the form A-1 B = X where A-1 is the inverse of...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
AbstractWe introduce proof rules for inverting a program. We derive an algorithm to compute the preo...
Using literate programming, complete Gofer code to invert a floating-point quadtree matrix is presen...
AbstractA new formulation for LU decomposition allows efficient representation of intermediate matri...
Many scheduling and synchronization problems for large-scale multiprocessing can be overcome using f...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
A technique for supporting quadtree matrices in a lazy functional langauge is presented that amelior...
An algorithm for inversion in GF(2m) suitable for im-plementation using a polynomial multiply instru...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
The problem of matrix inversion is central to many applications of Numerical Linear Algebra. When th...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
A proof of concept is offered for the uniform representation of matrices serially in Morton-order (o...
As the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of ...
The solution to a set of simultaneous equations is of the form A-1 B = X where A-1 is the inverse of...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
AbstractWe introduce proof rules for inverting a program. We derive an algorithm to compute the preo...