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LinTim is a scientific algorithm and dataset library that has been under development since 2007 and offers the possibility to carry out the various planning steps in public transportation. Although the name originally derives from "Line planning and Timetabling", the available functions have grown far beyond this scope. This is the documentation for version 2023.12. For more information, see https://www.lintim.net.
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LinTim is a scientific software toolbox that has been under development since 2007, giving the possibility to solve the various planning steps in public transportation. Although the name originally derives from "Lineplanning and Timetabling", the available functions have grown far beyond this scope. This document is the documentation for version 2022.08. For more information, see https://www.lintim.net
LinTim is a scientific software toolbox that has been under development since 2007, giving the possibility to solve the various planning steps in public transportation. Although the name originally derives from "Lineplanning and Timetabling", the available functions have grown far beyond this scope. This document is the documentation for version 2021.12. For more information, see https://www.lintim.net
LinTim is a scientific software toolbox that has been under development since 2007, giving the possibility to solve the various planning steps in public transportation. Although the name originally derives from "Lineplanning and Timetabling", the available functions have grown far beyond this scope. This document is the documentation for version 2021.10. For more information, see https://www.lintim.net
LinTim is a scientific software toolbox that has been under development since 2007, giving the possibility to solve the various planning steps in public transportation. Although the name originally derives from "Lineplanning and Timetabling", the available functions have grown far beyond this scope. This document is the documentation for version 2020.12. For more information, see https://www.lintim.net
LinTim is a scientific software toolbox that has been under development since 2007, giving the possibility to solve the various planning steps in public transportation. Although the name originally derives from "Lineplanning and Timetabling", the available functions have grown far beyond this scope.
This document is the documentation for version 2020.02.
For more information, see https://www.lintim.net
In recent years, the Federal Republic of Germany has been the most significant destination for asylum-related migration in the European Union. Asylum-related migrants are those who left their country of origin to search for better life in a country that is safe and usually provides better economic opportunities. Most of these migrants sought asylum; however, not all needed international protection. There is a continuum between forced and voluntary migration and the categorization and categories of migrants are very context-dependent. The main research questions in this research report are the following: 1. What kinds of asylum-related migrants (refugees, people with a temporary residence permit, asylum seekers, non-deportable former asylum seekers and undocumented migrants) live in Germany, in particular in Rhineland-Palatinate and Kaiserslautern? 2. What are the everyday lives of asylum-related migrants like in Rhineland-Palatinate and Kaiserslautern? 3. What are the migration wishes and plans of asylum-related migrants in Rhineland-Palatinate and Kaiserslautern? 4. How and for what reasons do asylum-related migrants in Rhineland-Palatinate and Kaiserslautern use the Internet and social media? The research questions are answered based on the empirical material collected during the field research in the spring and summer of 2019. In addition, earlier research and statistics on migrants, asylum seekers and refugees in Germany are utilized. Asylum-related migrants responded according to their own views; the results indicate both their perspectives and our interpretation of them.
Lineare Optimierung ist ein wichtiges Aufgabengebiet der angewandten Mathematik, da sich viele praktische Probleme mittels dieser Technik modellieren und lösen lassen. Diese Veröffentlichung soll helfen, Schüler an diese Thematik heranzuführen. Dabei soll der Vorgang des Modellierens, also die Reduktion des Problems auf die wesentlichen Merkmale, vermittelt werden. Anschließend an den Modellierungsprozeß können durch Einsatz der Simplex-Methode die linearen Optimierungsprobleme gelöst werden. Verschiedene praktische Beispiele dienen der Veranschaulichung des Vorgehens.