A visual, interdisciplinary approach to solving problems in
numerical methods

Computing for Numerical Methods Using Visual C++ fills the need
for a complete, authoritative book on the visual solutions to
problems in numerical methods using C++. In an age of boundless
research, there is a need for a programming language that can
successfully bridge the communication gap between a problem and its
computing elements through the use of visual-ization for engineers
and members of varying disciplines, such as biologists, medical
doctors, mathematicians, economists, and politicians. This book
takes an interdisciplinary approach to the subject and demonstrates
how solving problems in numerical methods using C++ is dominant and
practical for implementation due to its flexible language format,
object-oriented methodology, and support for high numerical
precisions.

In an accessible, easy-to-follow style, the authors cover:

* Numerical modeling using C++

* Fundamental mathematical tools

* MFC interfaces

* Curve visualization

* Systems of linear equations

* Nonlinear equations

* Interpolation and approximation

* Differentiation and integration

* Eigenvalues and Eigenvectors

* Ordinary differential equations

* Partial differential equations

This reader-friendly book includes a companion Web site, giving
readers free access to all of the codes discussed in the book as
well as an equation parser called "MyParser" that can be used to
develop various numerical applications on Windows. Computing for
Numerical Methods Using Visual C++ serves as an excellent reference
for students in upper undergraduate- and graduate-level courses in
engineering, science, and mathematics. It is also an ideal resource
for practitioners using Microsoft Visual C++.

Shaharuddin Salleh, PhD, is Professor in Computational Mathematics, Faculty of Science (Mathematics), Universiti Teknologi, Malaysia (UTM). Dr. Salleh's research is in parallel computing algorithms and scheduling, mobile computing, intelligent systems, and numerical/combinatorial optimization problems. He is also an IT Manager at the Research Management Centre, UTM.

Albert Y. Zomaya, PhD, is the Head of School and CISCO Systems Chair Professor of Internetworking in the School of Information Technologies at the University of Sydney. He is the author or coauthor of several books and more than 300 publications. He is an IEEE Fellow.

Sakhinah Abu Bakar is Lecturer in Computational Mathematics at the School of Mathematical Sciences, Faculty of Science and Technology, National University of Malaysia. She is currently pursuing her PhD degree at the University of Sydney.

A visual, interdisciplinary approach to solving problems in numerical methods

Computing for Numerical Methods Using Visual C++ fills the need for a complete, authoritative book on the visual solutions to problems in numerical methods using C++. In an age of boundless research, there is a need for a programming language that can successfully bridge the communication gap between a problem and its computing elements through the use of visual-ization for engineers and members of varying disciplines, such as biologists, medical doctors, mathematicians, economists, and politicians. This book takes an interdisciplinary approach to the subject and demonstrates how solving problems in numerical methods using C++ is dominant and practical for implementation due to its flexible language format, object-oriented methodology, and support for high numerical precisions.

In an accessible, easy-to-follow style, the authors cover:

• Numerical modeling using C++

• Fundamental mathematical tools

• MFC interfaces

• Curve visualization

• Systems of linear equations

• Nonlinear equations

• Interpolation and approximation

• Differentiation and integration

• Eigenvalues and Eigenvectors

• Ordinary differential equations

• Partial differential equations

This reader-friendly book includes a companion Web site, giving readers free access to all of the codes discussed in the book as well as an equation parser called "MyParser" that can be used to develop various numerical applications on Windows. Computing for Numerical Methods Using Visual C++ serves as an excellent reference for students in upper undergraduate- and graduate-level courses in engineering, science, and mathematics. It is also an ideal resource for practitioners using Microsoft Visual C++.

Computing for Numerical Methods Using Visual C++ fills the need for a complete, authoritative book on the visual solutions to problems in numerical methods using C++. In an age of boundless research, there is a need for a programming language that can successfully bridge the communication gap between a problem and its computing elements through the use of visual-ization for engineers and members of varying disciplines, such as biologists, medical doctors, mathematicians, economists, and politicians. This book takes an interdisciplinary approach to the subject and demonstrates how solving problems in numerical methods using C++ is dominant and practical for implementation due to its flexible language format, object-oriented methodology, and support for high numerical precisions.

In an accessible, easy-to-follow style, the authors cover:

• Numerical modeling using C++

• Fundamental mathematical tools

• MFC interfaces

• Curve visualization

• Systems of linear equations

• Nonlinear equations

• Interpolation and approximation

• Differentiation and integration

• Eigenvalues and Eigenvectors

• Ordinary differential equations

• Partial differential equations

This reader-friendly book includes a companion Web site, giving readers free access to all of the codes discussed in the book as well as an equation parser called "MyParser" that can be used to develop various numerical applications on Windows. Computing for Numerical Methods Using Visual C++ serves as an excellent reference for students in upper undergraduate- and graduate-level courses in engineering, science, and mathematics. It is also an ideal resource for practitioners using Microsoft Visual C++.

Language style and organization.

Data types, variables.

Loops and branches.

Array, pointer, function, structure.

Classes and objects.

Inheritance, polymorphism, encapsulation.

Complexity analysis.

Chapter 2: Visual C++ Methods.

MFC library .

Fundamental interface tools.

Text displays.

Graphics and images.

Writing the first program.

Chapter 3: Fundamental Mathematical Tools.

C++ for High-Performance Computing.

Dynamic memory allocation.

Allocation for one-dimensional arrays.

Allocation for higher-dimensional arrays.

Case Study: Matrix multiplication problem.

Matrix elimination problems.

Vector and matrix norms.

Row operations.

Matrix reduction to triangular form.

Computing the determinant of a matrix.

Computing the inverse of a matrix.

Matrix algebra.

Data passing between functions.

Matrix addition and subtraction.

Matrix multiplication.

Matrix inverse.