Nonlinear Equations: Numerical Methods for Solving

Eli Hill

ISBN 10: 1639897232 / ISBN 13: 9781639897230

Published by States Academic Press Sep 2023, 2023

About this Item

Neuware - Nonlinear equations are those that do not form a straight line. They may form a bell curve, S-curve, or any other nonlinear shape on a graph. These equations have a variable slope and are more complicated as compared to linear equations. A nonlinear equation has a degree of two or greater than two, but not less than two. As the value of the degree increases, so does the curvature of the graph. In general, nonlinear equations cannot be solved analytically. Two criteria can be taken into account when choosing a method for solving nonlinear equations, namely, method convergence and the cost of calculating of the method. Nonlinear equations are utilized for managing projects and making predictions. Some examples of nonlinear equations include S-curve graphs, regression analysis, and logarithmic scales. Important numerical methods for solving nonlinear equations include first order methods, Newton-Raphson method, and bisection method. This book explores all the important aspects of the numerical methods used for solving nonlinear equations. It is a resource guide for experts as well as students.

Seller Inventory # 9781639897230

Bibliographic Details

• Title: Nonlinear Equations: Numerical Methods for Solving
• Publisher: States Academic Press Sep 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1639897232
• ISBN 13: 9781639897230
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Nonlinear equations are those that do not form a straight line. They may form a bell curve, S-curve, or any other nonlinear shape on a graph. These equations have a variable slope and are more complicated as compared to linear equations. A nonlinear equation has a degree of two or greater than two, but not less than two. As the value of the degree increases, so does the curvature of the graph. In general, nonlinear equations cannot be solved analytically. Two criteria can be taken into account when choosing a method for solving nonlinear equations, namely, method convergence and the cost of calculating of the method. Nonlinear equations are utilized for managing projects and making predictions. Some examples of nonlinear equations include S-curve graphs, regression analysis, and logarithmic scales. Important numerical methods for solving nonlinear equations include first order methods, Newton-Raphson method, and bisection method. This book explores all the important aspects of the numerical methods used for solving nonlinear equations. It is a resource guide for experts as well as students.