Search Results for "problem a"
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Showing 19 open source projects for "problem a"
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Optimization.jl
Mathematical Optimization in Julia
...Additionally, Optimization.jl takes care of passing problem-specific information to solvers that can leverage it such as the sparsity pattern of the hessian or constraint jacobian and the expression graph. -
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Convex.jl
A Julia package for disciplined convex programming
...Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This reformulation often involves adding auxiliary variables and is called an "extended formulation", since the original problem has been extended with additional variables. ... -
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Coluna.jl
Branch-and-Price-and-Cut in Julia
Coluna is a branch-and-price-and-cut framework written in Julia. You write an original MIP that models your problem using the JuMP modeling language and our specific extension BlockDecomposition offers a syntax to specify the problem decomposition. Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm. -
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DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl
This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...It learns an operator, which is a mapping between infinite-dimensional function spaces. It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function spaces. The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. ... -
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Pkg Julia
Package manager for the Julia programming language
...If you’ve ever tried to run code you haven’t used in a while only to find that you can’t get anything to work because you’ve updated or uninstalled some of the packages your project was using, you’ll understand the motivation for this approach. In Pkg, since each project maintains its own independent set of package versions, you’ll never have this problem again. Moreover, if you check out a project on a new system, you can simply materialize the environment described by its manifest file and immediately be up and running. -
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electricityMap
A real-time visualisation of the CO2 emissions of electricity
...It should provide a breakdown by generation type. Often fossil fuel generation (coal/gas/oil) is combined under a single heading like 'thermal' or 'conventional', this is not a problem. Citizens should not be responsible for the emissions associated with all the products they export, but only for what they consume. Consumption-based accounting (CBA) is a very important aspect of climate policy and allows assigning responsibility to consumers instead of producers. Furthermore, this method is robust to governments relocating dirty production to neighboring countries in order to green their image while still importing from it. -
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Billiards Everything
The Great Periodic Path Hunt at gwtokarsky.github.io
Researchers, Mathematicians and Enthusiasts. Download "Billiards Everything" to discover new periodic billiard paths, an unresolved problem from 1775! Download "Billiards Covers" to see the most current list of periodic paths in triangles. Follow "The Great Periodic Path Hunt" at gwtokarsky.github.io for the latest news. Email tokarsky@ualberta.ca for feedback. -
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Reliquarium
3D slider puzzles for kids; helps teach solid geometry
Reliquarium is a very unique set of 3-Dimensional slider puzzles with a Crystal Skull theme. A totally new category of puzzle that would be impossible to build or manipulate in physical form. They can help improve 3D visualization and problem solving skills. Suitable for children preparing for math or geometry, as well as adults. Works on laptops or PCs or Macs running Windows, OSX, or Linux. -
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Billiards Covers
This zip jar contains the current coverings of periodic paths.
...Download "Billiards Covers" to see the most current list of periodic paths in triangles. Download "Billiards Everything" to discover new periodic billiard paths, an unresolved problem from 1775! Follow "The Great Periodic Path Hunt" at gwtokarsky.github.io for the latest news. Email tokarsky@ualberta.ca for feedback. -
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fastPTOptimizer
a fork of the Panorama Tools / libpano13 with a fast PTOptimizer
...fastPTOptimizer decreases the processing time for large panoramas (a speedup factor of 100 or more can be achieved). This is possible by exploiting the sparseness of the mathematical optimization problem. The original PTOptimizer uses the well proven Levenberg Marquardt optimizer lmdif from the minpack software. fastPTOptimizer uses a "sparse" optimizer lmdif_sparse that uses the SuiteSparse library. -
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MLDataUtils.jl
Utility package for generating, loading, and processing ML datasets
This package is designed to be the end-user facing front-end to all the data related functionality that is spread out across the JuliaML ecosystem. Most of the following sub-categories are covered by a single back-end package that is specialized on that specific problem. Consequently, if one of the following topics is of special interest to you, make sure to check out the corresponding documentation of that package. -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
...For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. ... -
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ProMoVis
A Tool for Control Structure Selection in Interconnected Processes
...The tool s implemented as either a standalone software for industrial use or as a research version which can run within Matlab, both released under the Apache Open Source license. ProMoVis is not limited to the control structure selection problem as additional analysis methods can be added easily. For the re-use of existing models a Modelica interface is under development. If you want to refer to ProMoVis in a publication, please use the following: "Wolfgang Birk, Miguel Castaño, Andreas Johansson, An application software for visualization and control configuration selection of interconnected processes, Control Engineering Practice, Volume 26, May 2014, Pages 188-200." -
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Gimias
Graphical Interface for Medical Image Analysis and Simulation
GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development. -
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Dex
Data Visualization application written in JavaFX, Groovy, and HTML5.
...Dex integrates many excellent visualization frameworks into one consistent GUI package. This is an early release, so you are likely to find functional gaps for your particular problem space. In such cases, you are free to extend Dex to suit your needs. -
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visualFSA is a small tool which lets you construct NFAs/DFAs [(non)deterministic finite automata]. It offers some common algorithms which can be applied to that automatons, like converting NFA -> DFA, word problem, accepted language etc.
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SoFi (Solution Finder) is an extensible Java framework that facilitates rapid development of instructional applications to demonstrate common search and problem solving methods in the field of Artificial Intelligence.
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