Titlebook: Magnetic Resonance Angiography; Ingolf P. Arlart,Georg M. Bongartz,Guy Marchal (Pr Book 2002Latest edition Springer-Verlag Berlin Heidelbe

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dearth

Michael Bock PhDenergy arise in a wide variety of applications such as internet of things, cloud computing, health, transportation, and robots. At the same time, parallel computing, with (heterogeneous) multi-core platforms in particular, has become the dominant paradigm in computer architecture. Predicting resourc

OPINE

隨意

Georg M. Bongartz PhD, MD,Hilde Bosmans PhD,Guy Marchal PhD, MDlopment scheme. Our starting point is the . model, a framework that unifies unit testing and run-time verification, as well as static verification and static debugging, using a common assertion language. Properties which cannot be verified statically are checked dynamically. In this context, the ide

GEM

Hilde Bosmans PhD,Guy Marchal MD,PhD coinductive. To define its procedural semantics as well as an alternating fixpoint semantics, the ., a condition on predicate dependency in programs, has been imposed on co-logic programs (co-LPs). In this paper, we first consider . programs in co-logic programming: Given a program ., its dual prog

MUMP

Georg M. Bongartz PhD,Matthias Boos MD,Klaus Scheffler PhD coinductive. To define its procedural semantics as well as an alternating fixpoint semantics, the ., a condition on predicate dependency in programs, has been imposed on co-logic programs (co-LPs). In this paper, we first consider . programs in co-logic programming: Given a program ., its dual prog

護(hù)航艦

Johan Van Cleynenbreugel PhD,Gerhard Laub PhD coinductive. To define its procedural semantics as well as an alternating fixpoint semantics, the ., a condition on predicate dependency in programs, has been imposed on co-logic programs (co-LPs). In this paper, we first consider . programs in co-logic programming: Given a program ., its dual prog

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