Bücher von Christian Wagner

Thesis (M.A.) from the year 2019 in the subject Business economics - Economic Policy, grade: 1,7, University of Bayreuth, language: English, abstract: This thesis aims to shed light to the various characteristics and sources of income inequality in China and thereby demonstrate their interrelations on economic growth using a literature review approach and by examining the impact of differences in the propensity to save among various Chinese income groups. In the course of this, Chinäs current degree of income inequality is established, while identifying various forces and drivers behind these changes since the economic opening process initiated in 1978.Since adoption of the open-market policy reforms in 1978, China has experienced rapid economic growth. At the same time, its level of income inequality turned from one of the world's most equal to one of the most unequal. During long periods of time China was the country that experienced the fastest increase in income inequality. This bags the question whether income inequality is in fact the causal reason for economic growth or the necessary outcome of it. In the wake of this, income inequality in China has developed into several dimensions of inequality drivers ranging from an extensive urban-rural inequality, cross-regional inequality, inequality of education or wealth inequalities.

Sozialrechtliche Schnittstellen sind aus dem Beratungsalltag nicht mehr wegzudenken. Das neue Handbuch deckt die folgenden Themenbereiche ab:ArbeitsrechtFamilienrechtErbrechtVerwaltungsrechtSteuerrechtMedizinrechtVersicherungsrechtVerkehrsrechtMigrationsrechtDatenschutzrechtPraxistipps und Beispiele helfen, Lösungsmöglichkeiten an der Schnittstelle zwischen Sozialrecht und den beratungsnahen anderen Rechtsgebieten zu finden und bereits bei konkreten Gestaltungsoptionen ungünstige Auswirkungen im Sozialrecht zu vermeiden.Ideal für die im jeweiligen Rechtsgebiet tätigen Rechtsanwälte und Richter, Juristen in Personalabteilungen, in sozialen Einrichtungen wie auch in Körperschaften und Behörden.

This thesis deals with the generation, evaluation, and analysis of cutting planes for mixed-integer linear programs (MILP¿s). Such optimization problems involve finitely many variables, some of which are required to be integer. The aim is to maximize or minimize a linear objective function over a set of finitely many linear equations and inequalities.Many industrial problems can be formulated as MILP¿s. The presence of both, discrete and continuous variables, makes it difficult to solve MILP¿s algorithmically. The currently available algorithms fail to solve many real-life problems in acceptable time or can only provide heuristic solutions. As a consequence, there is an ongoing interest in novel solution techniques.A standard approach to solve MILP¿s is to apply cutting plane methods. Here, the underlying MILP is used to construct a sequence of linear programs whose formulations are improved by successively adding linear constraints ¿ so-called cutting planes ¿ until one of the linear programs has an optimal solution which satisfies the integrality conditions on the integer constrained variables.For many combinatorial problems, it is possible to immediately deduce several families of cutting planes by exploiting the inherent combinatorial structure of the problem. However, for general MILP¿s, no structural properties can be used. The generation of cutting planes must rather be based on the objective function and the given, unstructured set of linear equations and inequalities. On the one hand, this makes the derivation of strong cutting planes for general MILP¿s more difficult than the derivation of cutting planes for structured problems. On the other hand, for this very reason, the analysis of cutting plane generation for general MILP¿s becomes mathematically interesting.

Today, reliable software systems are the basis of any business or company. The continuous further development of those systems is the central component in software evolution. It requires a huge amount of time- man power- as well as financial resources. The challenges are size, seniority and heterogeneity of those software systems. Christian Wagner addresses software evolution: the inherent problems and uncertainties in the process. He presents a model-driven method which leads to a synchronization between source code and design. As a result the model layer will be the central part in further evolution and source code becomes a by-product. For the first time a model-driven procedure for maintenance and migration of software systems is described. The procedure is composed of a model-driven reengineering and a model-driven migration phase. The application and effectiveness of the procedure are confirmed with a reference implementation applied to four exemplary systems.