Numerical Methods Using MATLAB

Description

Features

• Developing computing technology used through all algorithms and scripts.

  • Keeps students abreast of cutting-edge technology on an ongoing basis; and improves the pace and pleasure of students' overall learning experience. Ex.___

• Clear visual interpretation of results using MATLAB graphics.

  • Clarifies results for students and provides them with a deeper understanding. Ex.___

• Use of symbolic methods-Includes a full chapter on the use of the MATLAB symbolic toolbox and its application to numerical methods.

  • Allows comparison of different approaches to many problems and enhances opportunities for testing and experimentation. Ex.___

• Introduction to the important field of optimization.

  • Helps students understand the broad area of MATLAB application. Ex.___

• Statistical techniques placed in a clear numerical context.

  • Enables students to grasp complex but widely applied concepts. Ex.___

• MATLAB symbolic toolbox-Includes a full chapter on the use of the MATLAB symbolic toolbox and its applications to numerical methods.

  • Allows comparison of different approaches to many problems and enhances opportunities for testing and experimentation. Ex.___

• The most current MATLAB functions-Includes functions for obtaining specific eigenvalues; for the solution of differential equations (including methods for stiff differential equations); and for regression analysis.

  • Empowers students with maximum task efficiency and accuracy, and gives them the statistics they need to make informed judgments about such areas as model improvement. Ex.___

• Coverage on global optimization methods.

  • Gives students an easy introduction to this difficult but widely applied field. Ex.___

Table of Contents

Back Cover

Skillfully balancing rigor with practicality, this progressive and visually rich piece on using MATLAB software explores how this modern and powerful computing technology can-in an elegant and efficient way-solve exacting and interesting problems that have application in science and industry. Encouraging systematic experimentation, it offers an extensive, hands-on study of MATLAB functions and exposes the reader to a wide range of numerical algorithms-including optimization and regression analysis with applications of symbolic methods-with full explanations of their fundamental principles and illustrations of their application.

FEATURES/BENEFITS

• Developing computing technology used through all algorithms and scripts.
• Clear visual interpretation of results using MATLAB graphics.
• Use of symbolic methods-Includes a full chapter on the use of the MATLAB symbolic toolbox and its application to numerical methods.
  • Allows comparison of different approaches to many problems and enhances opportunities for testing and experimentation.
• Introduction to the important field of optimization.
  • Helps the reader understand the broad area of MATLAB application.
• Statistical techniques placed in a clear numerical context.
  • Enables the reader to grasp complex but widely applied concepts.
• MATLAB symbolic toolbox-Includes a full chapter on the use of the MATLAB symbolic toolbox and its applications to numerical methods.
• The most current MATLAB functions-Includes functions for obtaining specific eigenvalues; for the solution of differential equations (including methods for stiff differential equations); and for regression analysis.
• Coverage on global optimization methods.