Essays about: "Lagrangian Mechanics"
Showing result 1 - 5 of 17 essays containing the words Lagrangian Mechanics.
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1. Braids and configuration spaces
University essay from Uppsala universitet/Geometri och fysikAbstract : A configuration space is a space whose points represent the possible states of a given physical system. As such they appear naturally both in theoretical physics and technical applications. READ MORE
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2. Theories with higher-order time derivatives and the Ostrogradsky ghost
University essay from Stockholms universitet/FysikumAbstract : Newton's second law, Schrödinger's equation and Maxwell's equations are all theories composed of at most second-time derivatives. Indeed, it is not often we need to take the time derivative of the acceleration. READ MORE
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3. The Ratio of Reality : A study of the gyromagnetic ratio in theories ranging from classical mechanics to string theory
University essay from Uppsala universitet/Teoretisk fysikAbstract : In this project a theoretical study of the so called gyromagnetic ratio was done by investigating classical mechanics, Dirac theory and string theory. The gyromagnetic ratio is a constant term appearing in the coupling between angular momentum and magnetic moment for a particle. READ MORE
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4. Dynamics of a complex mechanical pendulum : and its dependence on energy
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : In this thesis we analyze the motion of the double pendulum in which the first rod has a distributed mass and the second is a light rod with a linked spring attached to a point mass. The dynamics of the system is modelled in Maple using the Sophia package and Lagrangian mechanics. Trajectories, phase portraits, conservation of energy etc. READ MORE
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5. Object Tracking Achieved by Implementing Predictive Methods with Static Object Detectors Trained on the Single Shot Detector Inception V2 Network
University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Abstract : In this work, the possibility of realising object tracking by implementing predictive methods with static object detectors is explored. The static object detectors are obtained as models trained on a machine learning algorithm, or in other words, a deep neural network. READ MORE