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MDA HW1
MDA HW1
Multivariate analysis
Mbukam Edward
Càlcul 1. Parcial 2014p
Càlcul 1. Parcial 2014p
Solucions del parcial del día 9/4/2015.
Jordi Saludes
Time-Frequency Analysis and the Wavelet Transform
Time-Frequency Analysis and the Wavelet Transform
A brief (lets not kid ourselves its long) introduction to the continuous and discrete wavelet transforms. Comments on implementations on the computer using MATLAB and other software is also included.
ryanplestid
The Chaos of Damped-driven Pendulum System
The Chaos of Damped-driven Pendulum System
We will study some aspects of the damped driven pendulum. We will see that the trajectory of damped driven pendulum is unpredictable under certain ranges of parameters. Under some conditions, the trajectory behaves like random. A perturbation of initial condition will lead to different result. Several mathematical tools will be introduced in this study.
zev
E5: Kern- und Teilchenphysik Übungsblatt 6
E5: Kern- und Teilchenphysik Übungsblatt 6
Übungsblatt 6
Jean Amadeus Elsner
Proof of function's representation with Taylor Series
Proof of function's representation with Taylor Series
Proof of a function's representation with Taylor Series
Adrian D'Costa
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.
José Antonio garcia
Notions principales de la thermodynamique
Notions principales de la thermodynamique
Chapitre 1, Peip1, Polytech'Nice Sophia
Rémy Collie

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