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Cp1 :2005
Cp1 :2005
Primeiras questões respondidas do banco de Cálculo 1 da UFAL.
Antônio Marcos Barbosa
Math 53 Homework template
Math 53 Homework template
For math 53 homework
Jupiter Zhu
The Quadratic Formula
The Quadratic Formula
This paper will state and prove the quadratic formula.
Tyler Keane
TALLER ALGEBRA LINEAL ISAAC RODRIGUEZ
TALLER ALGEBRA LINEAL ISAAC RODRIGUEZ
Taller álgebra lineal
Isaac Rodriguez Escallon
The domain of a composite function
The domain of a composite function
A short look at how to compute the domain of a composite function.
Aidan Horn
Riemann Rearrangement Thoerem and Proof
Riemann Rearrangement Thoerem and Proof
A simple proof of Riemann's Rearrangement Theorem. Also called Riemann's series theorem.
David Klapheck
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
What is the maximum altitude reached by a Superpressure balloon?Can we control the balloons altitude with an air pump?
What is the maximum altitude reached by a Superpressure balloon?Can we control the balloons altitude with an air pump?
A detailed report of findings on the altitudes which can be reached by super pressure balloons and how various factors and considerations affect this. Superpressure balloons are deployed and researched by various organisations including NASA, to solve technical limitations such as cell tower coverage as well as advancing fields of research. Balloons are used in planetary exploration, and weather prediction to teaching primary school physics. The versatile yet simple aerostat has been a valuable tool in many areas of engineering and their altitude ceiling is of great scientific interest. To solve the problem without the ability to physically reproduce the scenario, required mathematical models to be created as a means of simulating the effects of real world physics. A degree great enough to output an accurate and hence useful result without becoming too complex to be computable is the fine balance attempted to be created by this paper.
Charles Poppy
Gabi Help
Gabi Help
The South Pole...
Caden Feldman-Gubbay

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