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Titlebook: Actes du Conseil Général / Proceedings of the General Council; Vol. XXXIII International Federation of Library Associations,S Conference pr

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IFLA/FIAB,n of variables already sketched in Chapter VI, Section 7. The first step is to construct a complete set of separated-variable solutions (“elementary solutions”) and then represent the general solution as a superposition of the elementary solutions; the second step is to use the boundary and initial
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Programme, the particle. Such a force will in general be the sum of an external force (e.g., gravity or centrifugal forces) and the force describing the action of the other particles of the system on the ith particle. The expression of such forces must be given as part of the description of the mechanical sys
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,Premiere Séance / First Session,ions and infinite dimensional dynamical systems, geometry, played and will continue to play an increasing role in the development of the control sciences. On the other hand, control problems is a rich source of deep mathematical problems. Any presentation of control theory which for the sake of acce
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,Troisième Séance / Third Session,n leads the reader in a natural way to the original results.-New theoretical results accompanied by detailed numerical examples.-Proposes new numerical algorithms to solve coupled matrix algebraic Riccati equations...The unique monograph is geared to researchers and graduate students in advanced con
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Bundesrepublik Deutschland, III: Verein der Diplom-Bibliothekare an Wissenschaftlichen Bibliothekenof processes occurring in such systems, becomes a more and more essential problem. Thus, the taking place research of the perculiarities features of the transfer in disperse systems homogeneous and non-uniform on structure, various on configurations and heatphysical properties, certainly, has charac
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,Bundesrepublik Deutschland, IV: Deutscher Büchereiverband e.V.:,nistic methods, but they do hardly have access to stochastic methods, which are described in advanced textbooks on probability theory. The book develops consistently both deterministic and stochastic methods. In particular, it shows how deterministic methods are generalized by stochastic methods..Co
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