Clean, Simple, Elegant
Clean Thesis is a LaTeX style for thesis documents, developed for my diploma thesis (Diplomarbeit). The style can be understood as my personal compromise — a typical clean looking scientific document combined and polished with minor beautifications.
The design of this Clean Thesis style is inspired by user guide documents from Apple Inc.
Note: If you are looking for an exact and correct style regarding typographic rules, please have a look at the "Classic Thesis Style".
Donation = Postcard
Based on the idea of André Miede: If you like the Clean Thesis style I would be very pleased about a donation in the form of a POSTCARD. You can find my address at the *Clean Thesis* website as well as in the documentation. I am going to collect all postcards and exhibit them at the website I mentioned.
Idea and Inspiration
The idea of providing my customized style for thesis documents passed through my mind while writing my own thesis. Motivated and inspired by the superb Classic Thesis Style by André Miede (thanks to André for doing a great job) I decided to collect all design and style related functionality in a separate LaTeX style and provide this style to other thesis writers.
Copyright 2015 R. Langner
This simulation plan aims to explain and document all steps to be taken in the simulation
analysis of the Fokker-100 case. This case is the scenario in which the aircraft touches the
ground during landing, introducing loads on the landing gear. The landing gear consists of
2 rear gears around mid-span and one in the front. Furthermore, the pilot uses the rudder
which induces a lateral force on the tail.
As stated in the assignment, it is required to find the maximum normal stress and location
of this in the fuselage, the maximum shear stress and its location in the fuselage, and the
flow in the frames that introduce the loads from the landing gears into the
In the world of information technology where huge amount of useful information is available and easily accessible, we investigate an approach to utilize this information in Algorithmic Trading. Algorithmic trading involves implementation of a strategy using computer programs to automatically buy and sell financial instruments to generate profit at a speed and frequency that is impossible for a human trader. High Frequency Trading (HFT) is one type of algorithmic trading characterized by high turnover and high order-to-trade ratios. There are different strategies that can be applied to HFT. We propose a framework to utilize information available in the form of news articles, which can be used in stock trading at high frequency. We use semantic values of news articles for different stocks to generate buy/sell signals at a high frequency. We demonstrate the performance of our framework by simulating stock trade based on generated buy/sell signals for a small period of time.