Applied functional analysis, numerical and wavelet methods by Abul Hasan Siddiqi

By Abul Hasan Siddiqi

Consultant covers the most up-tp-date analytical and numerical equipment in infinite-dimensional areas, introducing contemporary leads to wavelet research as utilized in partial differential equations and sign and photo processing. For researchers and practitioners. comprises index and references.

Show description

Read Online or Download Applied functional analysis, numerical and wavelet methods PDF

Similar computational mathematicsematics books

Unconventional Computation: 4th International Conference, UC 2005, Sevilla, Spain, October 3 – 7, 2005. Proceedings

The Fourth foreign convention on Unconventional Computation, UC 2005, equipped lower than the auspices of EATCS by way of the Centre for Discrete arithmetic and Theoretical computing device technology and the dep. of C- puter technology and Arti? cial Intelligence of the collage of Seville, was once held in Seville, October 3–7, 2005.

Accuracy and Stability of Numerical Algorithms

Accuracy and balance of Numerical Algorithms supplies a radical, updated therapy of the habit of numerical algorithms in finite precision mathematics. It combines algorithmic derivations, perturbation concept, and rounding errors research, all enlivened through old viewpoint and informative quotations.

Computational Linguistics and Intelligent Text Processing: 4th International Conference, CICLing 2003 Mexico City, Mexico, February 16–22, 2003 Proceedings

CICLing 2003 (www. CICLing. org) used to be the 4th annual convention on clever textual content Processing and Computational Linguistics. It used to be meant to supply a balanced view of the state of the art advancements in either the theoretical foundations of computational linguistics and the perform of ordinary language textual content processing with its various functions.

Extra resources for Applied functional analysis, numerical and wavelet methods

Example text

Exact algorithms for computing the distribution of feasible flow had been given in the papers [4][5] . However, our ideas and conceptions of the real world are often vague and subjective in nature. In particular, imprecise observations or possible perturbations mean that capacities of arcs in a network may be better represented by fuzzy numbers than crisp quantities. -S. Huang, K. W. ): ICIC 2006, LNAI 4114, pp. 11–19, 2006. c Springer-Verlag Berlin Heidelberg 2006 12 X. Ji, L. Yang, and Z. Shao has been studied in papers [6][7][8].

IEEE Trans. Automat. Contr. 49 (2004) 828–832 14. : Linear Matrix Inequalities in System and Control Theory. Philadelphia, PA: SIAM (1994) 15. : Improved Delay-dependent Stability Criteria for Timedelay Systems. IEEE Trans. Automat. Contr. 50 (2005) 384–387 16. : An Improved Stabilization Method for Linear Time-delay Systems. IEEE Trans. Automat. Contr. 47 (2002) 1931–1937 17. : New Delay-dependent Stability Criteria and Stabilizing Method for Neutral Systems. IEEE Trans. Automat. Contr. 49 (2004) 2266–2271 18.

Ji, L. Yang, and Z. Shao Table 1. 8 ij Arc Fuzzy Capacity xij (1,2) (2,3) (2,5) (3,6) (4,7) (5,8) (6,8) 6 (40,50,70,80) (5,25,40,50) (20,30,50,60) (70,85,95,110) (20,50,60,70) (15,20,35,45) (30,35,40,55) 44 0 24 30 13 17 32 (1,3) (2,4) (2,6) (4,5) (5,7) (6,5) (7,8) (60,70,90,100) (30,40,60,70) (5,10,25,40) (10,20,40,50) (10,15,25,30) (15,25,35,50) (50,60,70,100) 30 13 7 0 12 5 25 Conclusion In this paper, a generalized fuzzy version of maximum flow problem is considered, in which arc capacities are fuzzy variables.

Download PDF sample

Rated 4.44 of 5 – based on 19 votes