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Titlebook: Simulation von Röhrenverstärkern mit SPICE; PC-Simulationen von Alexander Potchinkov Book 20091st edition Vieweg+Teubner Verlag | Springer

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https://doi.org/10.1007/978-3-8348-9613-1Analysen; Audioverstärker; Modellierung; Netzwerke; Röhrenverstärkerschaltungen; SPICE; Schaltungsanalyse;
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grundsätzlich und umfassend mit der Rolle auseinandergesetzt, die der "Zeit" in der Unternehmenstheorie bzw. in speziellen betriebswirtschaftlichen Handlungsfeldern zukommt. Ein Grund dafür ist wohl, daß sich die Betriebswirtschaftslehre bislang überwiegend an einem mathema­ tisch-physikalischen Zei
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Working and Writing Reflectivelynt, practitioner or both together. In this chapter, we will look at reflective writing and how you can develop better skills and habits in your reflective writing. We will also look at how you can bring reflection into your practice as an educator. We finish the chapter by returning to reflective wr
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Metacognition: Awareness of Language Learning,rners’ awareness of their metacognition. The chapter will present research findings to support the integration of metacognitive strategy awareness training within an L2 curriculum. Training learners to be more cognizant and reflective of how they engage in language learning facilitates the developme
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Rotary Push-in Mechanism for Variable Outer Diameter PIGs with Multiple-Connected Using Pneumatic Arpection gauge (VOD-PIG). In existing studies, inspection robots that tow endoscopes and other wiring into the pipe can inspect the inside of the pipe in real time even in environments where radio reception is difficult, such as in metal pipes. However, the maximum inspection distance is limited by t
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Evaluation of Tie-Breaking and Parameter Ordering for the IPO Family of Algorithms Used in Coveringer. In this paper, we survey and present a general framework for the IPO family of algorithms (i.e. IPOG, IPOG-F and IPOG-F2) and present ways to instantiate these abstract components. Then, we evaluate the performance of these variations on a large set of instances, in an extensive experimental setting in terms of covering array sizes.
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Parallel Multipoint Approximation Method for Large-Scale Optimization Problemsd that the values of the objective function and those of the constraints are computed using distributed memory (on several cluster nodes), whereas the optimization module runs on a single node using shared memory. Numerical experiments have been carried out on a benchmark example of structural optimization.
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