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, vn }, the adjacency matrix A is an n n matrix with a 1 in the ith row and jth column if vertex vi is adjacent to vertex vj and zeros elsewhere The degree matrix D is the n n matrix with dij = deg(vi ) and dij = 0 if i = j The Laplacian matrix is de ned as the difference of the adjacency matrix and the degree matrix, L = D A The spectrum of a graph is the set of eigenvalues of the Laplacian matrix The eigenvalues are related to the density distribution of the edge set, and the pattern of a graph s connectivity is closely related to its spectrum The second smallest eigenvalue, denoted by 2 (often called the Fiedler eigenvalue), is the best measure of the graph s connectivity among all of the eigenvalues.

These de nitions are consistent with those given in Section D.3. In addition, using this membership function, we can also de ne an arbitrary level of precision a 2 0; 1 of the lower- and upper approximations: B a X fxjmB x ! ag X Ba X fxjmB x X > 1 ag D:9 D:10

Empirical comparisons of these starkly contrasting methods of selecting jurors might reasonably ask several questions: whether one system is more effective than others.

Large values for 2 correspond to vertices of high degree that are in close proximity whereas small values for 2 correspond to a more equally dispersed edge set The Balaban index [31], sometimes called the distance sum connectivity index, is considered to be a highly discriminating topological index The Balaban index B(G) of a graph G is de ned as B(G) = q (G) + 1 1 , si sj.

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Public key encryption can be used to protect distributed object requests from eavesdropping and tampering.

Every C O RBA attribute or variable has a static type, which is the type defined for the attribute or parameter when its interface definition is compiled. Every C O RBA object has a dynamic type, which is the object type from which the object was instantiated. The C O RBA object model supports a restricted form of polymorphism, which in effect

receiver) and convert this information into symbolic context descriptions The inference system also allows for multiple interpretations of the underlying data, such as continuous (eg, latitude and longitude) as well as nominal or discrete (e g, Wordsworth, Garibaldi Square) representations of location Dynamic Decentralized Resource Discovery (DDRD) The dynamic decentralized resource discovery framework allows UWC applications and services to nd and use resources that match semantic descriptions of functionality and context The foundation of this system is a protocol by which a UWC component obtains networking services and contacts a directory registration service The UWC component provides the registration service a semantic description of itself and its capabilities, and any additional contextual information it chooses to provide The registration service then makes further determinations about the resource's contextual information server (CIS).

If this resource becomes unavailable, the registration service informs the CIS and the registration information is removed Dey [23,24] describe Cyberdesk as an architecture that was built to automatically integrate web-based services based on virtual context, or context derived from the electronic world The virtual context was the personal information the user was interacting with on-screen including email addresses, mailing addresses, dates, names, URLs, etc An example application is when a user is reading her e-mail and sees that there is an interesting message about some relevant research She highlights the researcher's name, spurring the CyberDesk architecture into action The architecture attempts to convert the selected text into useful pieces of information It is able to see the text as simple text, a person's name, and an email address It obtains the last piece of information by automatically running a web-based service that convert names to email addresses.

Pricing using Numerical Methods res1 = self. model.rollback().rollback(t, T, state , requestor, self. env, symbol one) res2 = self. model.rollback().rollback max(t, T, state , requestor, self. env, symbol two-symbol one) return res1+res2

to estimate the needed model parameters except in the most liquid market segments of developed countries.

With this information, it offers the user a number of services including searching for the text using a web-based search engine, looking up the name in her contact manager, and looking up a relevant phone number using the web The architecture of Cyberdesk is based on an event-driven model, where components act as event sources and/or event sinks The system consists of ve core components: the Locator, the IntelliButton, the ActOn Button Bar, the desktop and network services, and the type converters The Locator component in CyberDesk keeps a directory of all the other components in the system, what events they can generate, and/or what events they can consume The IntelliButton component is the core of the CyberDesk system, as it provides the automatic integrating behavior.

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