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Tensegrities
Tensegrities
Dit project over tensegrities past in het thema van de Nacht van de Toren jaargang 2016. Tijdens deze openschoolnacht draait alles rond evenwicht. Tensegrities (in het Nederlands: houtje-touwtje-constructies) zijn composities met zwevende houten staafjes die elkaar niet raken maar die toch in evenwicht blijven door de gepaste trekspanning in de verbindingstouwtjes. Hoewel het assortiment aan kunstzinnige tensigrities zeer groot is, focussen we ons hier slechts op het type waarbij de staafjes een eenbladige hyperboloïde (een ruimtelichaam in de vorm van een koeltoren) afbakenen.
Van den Broeck Luc
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
Meagher.WritAsst1.Final.tex
Meagher.WritAsst1.Final.tex
A Statistics paper on Correlation and Linear Relationships.
Jake Meagher
Càlcul 1. Parcial 2014p
Càlcul 1. Parcial 2014p
Solucions del parcial del día 9/4/2015.
Jordi Saludes
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
Estudio de los factores de disipación de la mica-epoxi en pruebas de calentamiento para placas de circuitos eléctricos
Estudio de los factores de disipación de la mica-epoxi en pruebas de calentamiento para placas de circuitos eléctricos
Comprensión de un estudio realizado en la mica-epoxi para placas de circuitos. El estudio consistió en pruebas de resistencia para medir el desgaste en el tiempo del material y así determinar su tiempo de vida aproximado.
Luis Alberto González José
Math 333 Weekly Homework Template
Math 333 Weekly Homework Template
This is a template for students from Math 333 at Hood College to use for weekly homework submission. (Fall 2018)
Jill Tysse
a Wilson-tétel megfordítása
a Wilson-tétel megfordítása
A Wilson-tétel megfordításának bizonyítása.
Tamás Waldhauser
FSU-MATH2400-Project3-IncludesSampleSolution
FSU-MATH2400-Project3-IncludesSampleSolution
In this project, students create a two-dimensional shape with nonuniform density, finds its center of mass, and hang it from a mobile. The various portion of the project address the differences and relationships between computing the center of mass of a discrete set of point masses and a lamina. Included here is also a sample solution to help students formulate their own well-written solutions. Also, in the LaTeX code are a few comments to address some of the basics of LaTeX and Overleaf.
Sarah Wright

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