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Focuses on a few of the important clustering algorithms in the context of information retrieval.
A fundamental problem in control theory is concerned with the stability of a given linear system. The design of a control system is generally based on a simplified model. The true values of the physical parameters may differ from the assumed values. Robust Stability and Convexity addresses stability problems for linear systems with parametric uncertainty. The application of convexity techniques leads to new computationally tractable stability criteria for families of characteristic functions with nonlinear dependence on the parameters. Stability results as well as stability criteria for time-delay systems with uncertainties in coefficients and delays are reported.
This work takes a basic phenomenological distinction (between the object and the process of consciousness) and examines it both from a historical perspective, and as it applies to the social and political realm. Self-consciousness not only has a cognitive meaning but also constitutes the human subject according to the specific way in which consciousness is grasped. Historically, the author shows that many of the problems that have appeared in the history of the study of human consciousness and self consciousness could either have been avoided altogether or greatly clarified if only both sides of the situation had been seen in conjunction with one another. The author shows how this conceptual clarification can be applied to specific problems concerning the nature of consciousness and to the social and political realm.
Any company operating across culturally different contexts has a need for intercultural management, whether the cultural differences are ""external"" (e.g. different regional cultures) or ""internal"" (e.g. differences in company culture). With the number of companies falling into this category, it is not surprising that intercultural management is an area of increasing importance to both academics and practitioners.
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