Java implementation of the matrix exponential method by Al-Mohy and Higham (2011)
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Updated
Apr 1, 2016 - Java
Java implementation of the matrix exponential method by Al-Mohy and Higham (2011)
Implementation of a fast(-ish) approximate exponential function for negative powers, based on polynomial approximations of different orders. Inspired by https://www.researchgate.net/publication/272178514_Fast_Exponential_Computation_on_SIMD_Architectures.
This class accepts an integer from the user between 0-20 and then shows the powers of two up until that integer.
Untyped Lambda Calculus as Initial Object in Cat of Exponential Monads
simulate funnel analysis and study the user churn rate
Type-safe scala DSL for rate related operations
Experimenting with existing and new models for charge carrier trapping
My implementation of the regression algorithms
True Exponential JS incremental game
Exponentation by squaring is an algorithm that will quickly calculate x^n given user input. x and n are integers in this case. This implementation uses recursion, whereby a function calls itself within it's own body. The answer is outputted on the console.
Web application that calculates and displays the nth root of a number. Performed without the help of math libraries, only using simple mathematical operators ( + , - , x , / ). Developed in JS.
This work is a extensive interactive visualization as well as forecasting tool to forecast global monthly temperature. Choice of country and state (for which the forecasting is required) is menu driven and based upon dynamic subsetting of data. In addition, various graphs and parameters pertaining to the model builiding, comparison of predicted …
A simple storage format with scopes and a C-like syntax.
Parsing String Exponential To Integer Without Builtin Libraries
Supplementary materials for Siggraph 2018 technical paper Perception Aware Modeling and Fabrication of Digital Drawing Tools
Código desenvolvido como parte da avaliação da disciplina Algoritmos e Programação de Computadores (113476) com o professor Vinícius Ruela Pereira Borges do departamento de Ciência da computação da Universidade de Brasília no primeiro semestre de 2018, desenvolvido pelo estudante Felipe Luís Pinheiro.
The goal of our analysis was to use different time series methods to predict the oil price for the last 6 months of the data, September 2017 through February 2018, and determine the best prediction model for this data.
To create a more natural Glow than the original native nuke glow (Exponential Glow).
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