World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.
Nonlinear Algebra in an ACORN cover
Also available at Amazon and Kobo

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.


ACORN Magic: How Linear Algebra Solves Optimization Problems and Why Do It?

Sample Chapter(s)
Foreword
Chapter 1: An Overview of Optimization

Contents:
  • An Overview of Optimization
  • The ACORN Approach to Optimization
  • Application to Pedagogical Examples
  • A Data-Modeling Example in Accelerator Physics
  • Applications to Machine Learning and Neural Networks
  • Appendices:
    • Code for Plotting the Basin of Attraction (BOA) in Octave
    • ACORN Code Implementation in Octave
    • Details for Optimizing the Objective Function in NN8
    • Details for Optimizing the Objective Function in NN481

Readership: Students and researchers of optimization in solving nonlinear equations in scientific and engineering problems.