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DISSERTAÇÃO PROFMAT Created by Michelle Cristina de Sousa Baltazar HTML CSS PYTHON MATPLOTLIB MATH LATEX BEAMER OCTAVE RAPIDMINER GIMP INKSCAPE SCRATCH

Análise de uma função específica caótica (Tenda), do gênero Mapa Logístico. Análise de caracteristicas como validade do coeficiente (m) para o intervalo, pontos fixos estáveis e instáveis (1ª e 2ª ordem) e coeficiente de Lyapunov.

The idea behind Quiz Challenger was to create knowledgeable environment in which user can share and enhance knowledge by giving and accepting challenge. The Quiz challenger is developed on JavaScript used for front-end and node JS used for back-end development. To dealt with database we use MongoDB.

Since the conception of the Quantum Computer (QC), their potential for greater magnitudes in speed of processing calculations has been realised by the vast majority of interested parties. This has led to a recent push in research and development in creating a stable QC which can perform quantum algorithms. To aid the creation of a stable and highly available quantum computer, simulators have been developed as a tool to as the thought processes. This report discusses details of a project that aims to investigate around the subject area, and produce an application to allow users to simulate quantum algorithms on a QC.

Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.

In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.

Chapters 1-3 of my PhD dissertation.

We will form a proof of the Arzela-Ascoli Theorem through use of the Heine-Borel theorem. We will also be considering some notions of compactness on metric spaces. The Arzela-Ascoli Theorem then allows us to show compactness, letting us state and prove Peano's existence theorem, pertaining to the existence of the solutions of a type of ODE. Then we will state the Kolmogorov-Riesz compactness theorem, allowing us to show compactness in $L^p$ spaces, building from the Arzela-Ascoli Theorem.

A primer to get UCSD ECE students into neural networks.