IFORS Education Resources Project
Posted by Armando Brito Mendes | Filed under estatística, Investigação Operacional, SAD - DSS, software
portal com materal sobre Investigação Operacional, otimização e SADs
Welcome to the International Federation of Operational Research Societies (IFORS) Education Resources Project
- Main Page (19:13, 3 December 2013)
- Biased Random-Key Genetic Algorithms: A Tutorial (21:57, 2 December 2013)
- The Discrete Event System Specification Formalism (19:59, 2 December 2013)
- Urban Operations Research (01:36, 2 December 2013)
- Stochastic Models for Design and Planning (01:34, 2 December 2013)
- Queueing Theory Books Online (01:31, 2 December 2013)
- Practical Queueing Theory in Java (01:31, 2 December 2013)
- Explore Queueing Theory for Scheduling, Resource Allocation and Traffic Flow Applications (01:28, 2 December 2013)
- Stochastic Processes Course Notes (01:26, 2 December 2013)
- Test Problems for Non-Linear Programming (01:23, 2 December 2013)
- OR Notes: Separable Programming (01:21, 2 December 2013)
- OR Notes: Non-Linear Programming (01:20, 2 December 2013)
Tags: decisao em grupo, decisão médica, otimização, previsão, problemas, programação em folha de cálculo, software de otimização, software estatístico
Engineer solves Big Data Conjecture
Posted by Armando Brito Mendes | Filed under Investigação Operacional, matemática
Um problema de combinatória em contexto de big-data
IBM Distinguished Engineer solves Big Data Conjecture
A mathematical problem related to big data was solved by Jean-Francois Puget, engineer in the Solutions Analytics and Optimization group at IBM France. The problem was first mentioned on Data Science Central, and an award was offered to the first data scientist to solve it.
Bryan Gorman, Principal Physicist, Chief Scientist at Johns Hopkins University Applied Physics Laboratory, made a significant breakthrough in July, and won $500. Jean-Francois Puget completely solved the problem, independently from Bryan, and won a $1,000 award.
Tags: big data, data mining, otimização
LIBSVM — A Library for Support Vector Machines
Posted by Armando Brito Mendes | Filed under software
Página dos autores da biblioteca LIBSVM, a mais usada para SVM
LIBSVM — A Library for Support Vector Machines
Chih-Chung Chang and Chih-Jen Lin
Version 3.17 released on April Fools’ day, 2013. We slightly adjust the way class labels are handled internally. By default labels are ordered by their first occurrence in the training set. Hence for a set with -1/+1 labels, if -1 appears first, then internally -1 becomes +1. This has caused confusion. Now for data with -1/+1 labels, we specifically ensure that internally the binary SVM has positive data corresponding to the +1 instances. For developers, see changes in the subrouting svm_group_classes of svm.cpp.
We now have a nice page LIBSVM data sets providing problems in LIBSVM format.
A practical guide to SVM classification is available now! (mainly written for beginners)
LIBSVM tools available now!
We now have an easy script (easy.py) for users who know NOTHING about svm. It makes everything automatic–from data scaling to parameter selection.
The parameter selection tool grid.py generates the following contour of cross-validation accuracy. To use this tool, you also need to install python and gnuplot.
Tags: captura de conhecimento, data mining, otimização, R-software, RapidMiner, WEKA
Programação Linear em Eng. Civil
Posted by Armando Brito Mendes | Filed under Investigação Operacional, materiais para profissionais
Artigos q mencionam programação linear num portal sobre Engenharia Civil
Previsão de Consumos em Sistemas de Distribuição de Água
13 Março, 2012
Os responsáveis pela gestão dos sistemas de distribuição de água, em face da crescente procura de água e do incremento das exigências de qualidade, vêem-se na necessidade de tentar controlar a evolução dos consumos de água. Para cumprir as tarefas de planeamento das medidas necessárias à satisfação das carências sentidas pelas populações no serviço de […]
Optimização de Estruturas de Betão Armado
13 Janeiro, 2011
A optimização estrutural é uma das fases mais importantes de um projecto de estruturas. É fundamental a utilização de um modelo sólido de apoio ao cálculo estrutural, com o apoio do método dos elementos finitos e programação matemática, para a optimização de vigas, pilares e lajes de betão armado.
Tags: otimização
Mathematical Programming in MathProg
Posted by Armando Brito Mendes | Filed under Investigação Operacional, SAD - DSS, software
Interface para resolução de probs PL ou MIP com java
GNU MathProg (part of the open source GNU GLPK project) is a modeling language for describing linear and discrete optimization problems. Use this page to create and solve MathProg models using the glpk.js solver. You can either open a model from your computer, select an example from the menu bar, or create your own from scratch. To use —
- Create a MathProg model in the Model Editor.
- Click ‘Solve’ to generate the solution.
- Click ‘Save As…’ to save the model locally to your computer.
Tags: otimização, software de otimização
Punk Rock Operations Research
Posted by Armando Brito Mendes | Filed under Investigação Operacional, matemática, materiais ensino, materiais para profissionais
Um blogue com modelos e aplicações de técnicas de IO
Punk Rock Operations Research by Laura A. McLay is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License
Tags: intro IO, otimização, previsão, problemas
Modelos de dados
Posted by Armando Brito Mendes | Filed under estatística, Investigação Operacional, matemática, materiais ensino, videos
Tackling tough tech in a minute or less. This episode explores Data Modeling with Steve Hoberman, Data Modeling expert, author and educator.
Tags: análise de dados, data mining, otimização
MS Solver Foundation
Posted by Armando Brito Mendes | Filed under Investigação Operacional, software
Bom software para otimização em Excel
Microsoft Solver Foundation
Solver Foundation makes it easier to build and solve real optimization models. Solver Foundation includes a declarative modeling language (OML) for specifying optimization models; a .NET API and runtime (Solver Foundation Services) for model creation, reporting, and analysis; and powerful built-in solvers. Key features include:
- Modeling and solving scenarios by using constraints, goals, and data.
- Programming in the Optimization Modeling Language (OML), in C# imperatively, in F# functionally, or in any .NET language.
- Built-in solvers for commonly encountered model types.
- Integration with popular solvers such as Gurobi, Ziena Knitro, Frontline Solver Platform SDK™, Mosek™, FICO™ Xpress, LINDO, and lp_solve.
- Interfaces to familiar tools such as Microsoft Office Excel and SharePoint to create and solve models.
Microsoft Solver Foundation is a .NET solution for mathematical optimization and modeling. Solver Foundation makes it easier to build and solve real-world optimization models by providing a .NET API and runtime for model creation, reporting, and analysis; a declarative language (OML) for model specification; and powerful built-in solvers.
Tags: otimização, programação em folha de cálculo
Introduction to lp_solve
Posted by Armando Brito Mendes | Filed under Investigação Operacional, software
Um bom solver open source para Excel Solver Foundation
manual completo, escolher a versão no menu acima
link para download do software
Tags: Excel, otimização, programação em folha de cálculo
VideoLectures.Net
Posted by Armando Brito Mendes | Filed under estatística, Investigação Operacional, matemática, materiais ensino
montes de vídeos sobre imensos temas
VideoLectures.NET is a free and open access educational video lectures repository. The lectures are given by distinguished scholars and scientists at the most important and prominent events like conferences, summer schools, workshops and science promotional events from many fields of Science. All lectures, accompanying documents, information and links are systematically selected and classified through the editorial process taking into account also users’ comments.
Tags: data mining, grafos, inferência, inquéritos, intro IO, otimização, previsão, problemas
