Nonlinear algebra in an ACORN with applications to deep learning

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 (Adap...

Full description

Saved in:
Bibliographic Details
Main Authors: Lee, Martin J. (Author), Tsang, Ken (Author)
Format: Book
Language:English
Published: Singapore World Scientific Publishing Co. Pte Ltd. 2018
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000 c 4500
001 53183
003 MY-KLNDU
005 20241219014402.0
008 221104 20182018si b 000 0 eng d
020 |a 9789813271517 
039 9 |a 202211041228  |b VLOAD  |c 202001081646  |d faezah  |c 202001081637  |d faezah  |y 201904161514  |z helmey 
040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a QA 402.5  |b .L44 2018 
100 1 |a Lee, Martin J.  |e author 
245 1 0 |a Nonlinear algebra in an ACORN  |b with applications to deep learning  |c Martin J. Lee, Ken Tsang 
264 1 |a Singapore  |b World Scientific Publishing Co. Pte Ltd.  |c 2018 
264 4 |c © 2018 
300 |a 71 pages  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references 
505 0 |a 1. An overview of optimization -- 2. The acorn approach to optimization -- 3. Application to pedagogical examples -- 4. A data-modeling example from accelerator physics -- 5. Applications to machine learning and neural networks 
520 |a 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 
592 |a 38098  |b 22/10/2019  |c RM 190.02  |h Bookline 
650 0 |a Robust optimization 
650 0 |a Mathematical optimization 
650 0 |a Matrices 
700 1 |a Tsang, Ken  |e author 
999 |a vtls000063776  |c 53183  |d 53183