Abstract
The advantages and disadvantages about MATLAB are described in this paper. Several methods of mixed programming between MATLAB and other programming languages such as C#, FORTRAN, JAVA, DELPHI, VB and EXCEL are presented, including using COM Builder, MATLAB Compiler, MATLAB Engine, MATLAB Automation Server, Excel Link and other methods. Finally analysis and suggestions about the occasion adopting these methods are put forward.
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References
Zhang, Y., Ma, Y.-j., Yuan, Q.-l.: Visual c # and Matlab programming and mixed, Northwest normal university (June 2008)
http://www.docin.com/p-19795256.html (2010.04.16)
Li, X., Tang, L.: Run the Other Executable Program in MATLAB. Control & Automation 22(9), 212–214 (2006)
Yao, G.-q., Chen, L.-p.: Integrated Programming between C# and Matlab Based on Component Object Model. Computer Engineering 34(14), 87–89 (2008)
Wang, Z., Crowcroft, J.: Quality of Service Routing for Supporting Multimedia Applications. IEEE Journal on Selected Areas in Communications 14(7), 1228–1234 (1996)
Turgay, K., Marwan, K.: Bandwidth-delay Constrained Path Selection Under Inaccurate State Information. IEEE/ACM Transaction on Networking 11(3), 384–398 (2003)
Moses, C., Joseph, N., Baruch, S.: Resource Optimization in QoS Multicast Routing of Real-time Multimedia. IEEE/ACM Transaction on Networking 12(2), 340–348 (2004)
Oh, J.S., Bae, S.I., Ahn, J.H., et al.: Routing Reinforcement for Efficient QoS Routing Based on Ant Algorithm. In: Proc. of International Conference on Information Networking, pp. 342–349. Springer, Berlin (2004)
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Jun, W., Chen, J., Yan, Z. (2011). Mixed Programming between MATLAB and Other Programming Languages. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_85
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DOI: https://doi.org/10.1007/978-3-642-23220-6_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23219-0
Online ISBN: 978-3-642-23220-6
eBook Packages: Computer ScienceComputer Science (R0)