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Graph theory with applications to engineering and computer science Narsingh Deo
Publisher: Prentice Hall

Narsingh Deo, “Graph Theory: With Application to Engineering and Computer Science”, PHI, 2003. In electrical engineering, from Shanghai Jiao Tong University in 1985. Wilson, “Introduction to Graph Theory”, Fourth Edition, Pearson Education, 2003. Yet, it has been during the last fifty years or so—with the rise of the electronic computers—that Graph theory has become an indispensable discipline in terms of the number and importance of its applications across the Applied Sciences. LATA 2012 : 6th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS. Peter Szolovits, a professor in the Department of Electrical Engineering and Computer Science (EECS) and the Harvard-MIT Division of Health Sciences and Technology (HST), directs the Clinical Decision Making group at But while a number of research groups at both CSAIL and the Media Lab specifically focus on medical applications, much of the theoretical work at CSAIL on machine-learning and statistical inference will inevitably have medical applications. Graph theory has been especially central to Theoretical and Algorithmic Computer Science, and Automatic Control, Systems Optimization, Economy and Operations Research, Data Analysis in the Engineering Sciences. Both fields deeply cross fertilize each other. LATA is a yearly conference in theoretical computer science and its applications. Shang-Hua Teng, a theoretical computer scientist with broad experience in both academia and industry, will join the USC Viterbi School Department of Computer Science as professor and chair beginning in fall 2009. Narsing Deo, Graph theory and applications to engineering and computer science, PHI, 1999. €�I am thrilled to have such a distinguished Born in Beijing, Teng earned dual undergraduate degrees, a B.S. Alan Doerr and Kenneth Levasseur, Applied discrete structures for computer science, Galgotia Publication, 1998. Discrete mathematics and theoretical computer science are closely linked research areas with strong impacts on applications and various other scientific disciplines.