MatLab tutorial for scientific and engineering computations: International Federation of Nonlinear Analysts (IFNA); 2008 World Congress of Nonlinear Analysts (WCNA)

Abstract The computing scenario over centuries/millenniums has been changing based on the tools/power of tools–often innovative–available to mankind. We discuss here in tutorial form various features of MatLab and their usage to solve problems. MatLab is one of the most widely used, very high level programming languages for scientific and engineering computations. It is very user-friendly and needs practically no formal programming knowledge. Presented here are MatLab programming aspects and not just the MatLab commands for scientists and engineers who do not have formal programming training and also have no significant time to spare for learning programming to solve their real world problems. Specifically provided are programs for visualization. Also, stated are the current limitations of the MatLab, which possibly can be taken care of by Mathworks Inc. in a future version to make MatLab more versatile.

[1]  Peter Kovesi,et al.  MATLAB as an introductory programming language , 2006, Comput. Appl. Eng. Educ..

[2]  E V. Krishnamurthy.  Introductory theory of computer science , 1983 .

[3]  R. Mattick,et al.  Problem-Solving Skills , 2005 .

[4]  David Bailey,et al.  On the rapid computation of various polylogarithmic constants , 1997, Math. Comput..

[5]  Malgorzata Zywno,et al.  Instructional Technology, Learning Styles, And Academic Achievement , 2002 .

[6]  Syamal K. Sen,et al.  AC 2007-458: SCOPE OF VARIOUS RANDOM NUMBER GENERATORS IN ANT SYSTEM APPROACH FOR TSP , 2007 .

[7]  R. Prokop,et al.  User-friendly MATLAB program for control and robust stability analysis of systems with parametric uncertainties , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[8]  Shahnam Navaee,et al.  Utilization Of Matlab In Structural Analysis , 2002 .

[9]  V. Lakshmikantham,et al.  Computational Error and Complexity in Science and Engineering , 2005 .

[10]  Brian L. F. Daku,et al.  An interactive computer-based tutorial for MATLAB , 2000, 30th Annual Frontiers in Education Conference. Building on A Century of Progress in Engineering Education. Conference Proceedings (IEEE Cat. No.00CH37135).