Author : Martin J Lee
Publisher : World Scientific
ISBN 13 : 9813271531
Total Pages : 92 pages
Book Rating : 4.8/5 (132 download)
Book Synopsis Nonlinear Algebra In An Acorn: With Applications To Deep Learning by : Martin J Lee
Download or read book Nonlinear Algebra In An Acorn: With Applications To Deep Learning written by Martin J Lee and published by World Scientific. This book was released on 2018-09-05 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: A simple algorithm for solving a set of nonlinear equations by matrix algebra has been discovered recently — first by transforming them into an equivalent matrix equation and then finding the solution analytically in terms of the inverse matrix of this equation. With this newly developed ACORN (Adaptive Constrained Optimal Robust Nonlinear) algorithm, it is possible to minimize the objective function [constructed from the functions in the nonlinear set of equations] without computing its derivatives.This book will present the details of ACORN algorithm and how it is used to solve large scale nonlinear equations with an innovative approach ACORN Magic [minimization algorithms gathered in a cloud].The ultimate motivation of this work is its application to optimization. In recent years, with the advances in big-data, optimization becomes an even more powerful tool in knowledge discovery. ACORN Magic is the perfect choice in this kind of application because of that fact that it is fast, robust and simple enough to be embedded in any type of machine learning program.