Search Results for "mathematical modeling"
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Showing 34 open source projects for "mathematical modeling"
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JuMP
Modeling language for Mathematical Optimization
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses. -
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InfiniteOpt.jl
An intuitive modeling interface for infinite-dimensional optimization
A JuMP extension for expressing and solving infinite-dimensional optimization problems. InfiniteOpt.jl provides a general mathematical abstraction to express and solve infinite-dimensional optimization problems (i.e., problems with decision functions). Such problems stem from areas such as space-time programming and stochastic programming. InfiniteOpt is meant to facilitate intuitive model definition, automatic transcription into solvable models, permit a wide range of user-defined extensions... -
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Surrogates.jl
Surrogate modeling and optimization for scientific machine learning
A surrogate model is an approximation method that mimics the behavior of a computationally expensive simulation. In more mathematical terms: suppose we are attempting to optimize a function f(p), but each calculation of f is very expensive. It may be the case we need to solve a PDE for each point or use advanced numerical linear algebra machinery, which is usually costly. The idea is then to develop a surrogate model g which approximates f by training on previous data collected from evaluations... -
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snorkel
A system for quickly generating training data with weak supervision
The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical... -
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MathMod
MathMod is a mathematical modeling software
MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-11.1 (16/06/2021) Welcome to the realm of complex numbers! 1) Support of graphing functions with complex numbers Z=u+iv in 3D and 4D spaces (demo... -
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Optimizer_sovkov
Constructing and optimizing general mathematical and physical models
We present the package Optimizer, aimed at constructing and optimizing general mathematical models of phenomena of versatile nature. It is written in the Matlab algorithmic language and is executed in the Matlab environment with partial functionality in Octave. The convenient visual interface and the detailed manuals are provided. The main benefit of the package is its capability to construct models of any level of complexity in a block-by-block manner. Elementary model blocks can be collected... -
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CAELinux
Dedicated to computer-aided engineering Linux distribution
... environment for scientific computing & mathematical modeling. A special focus of CAELinux is to provide simplified interfaces to facilitate the use of specialized open source software while providing high performance parallel multiphysics solvers ready to use for more advanced users. Try CAELinux or carry it with you on a USB stick in a live environment or install it to turn your PC into a full fledged Ubuntu based CAE workstation. It's all up to you what you can do with it! -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
... feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc. -
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DBSolveOptimum
The software for systems biology/pharmacology modeling
DBSolveOptimum is a stand-alone software tool for the construction and analysis of mathematical models of biological systems. It is a succession and extension of DBSolve 5 and DBSolve 7, which were popular tools for systems biology. In addition to the capabilities of these software packages, DBSolveOptimum is implemented with new tools for extended data analysis and multiple simulations, which are important for simulation of virtual clinical trials and application of modern modeling techniques... -
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Calcflow
A virtual reality tool for mathematical modeling
The repository contains the open-sourced code to Calcflow, a powerful mathematical visualization tool designed to give students, educators, and engineers a better grasp on some of the most difficult concepts in vector calculus. Utilizing the best UI/UX theory, Calcflow is an intuitive VR interface for vector calculus and is used by scientists and engineers for both educational and commercial applications. Today, the most common tool for complex maths visualization in the classroom is the TI-84... -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical... -
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Dynamic Linkage
Dynamic Linkage Social Aggregation Model
This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab. -
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PyMathProg
An easy and flexible mathematical programming environment for Python.
PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via swiglpk. Create, optimize, report, change and re-optimize your model with Python, easily integrate database, plotting, etc. -
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FPF_predict
Fine Particle Fraction (FPF) predictor
Application implements models described by classical mathematical equation for in vitro deposition prediction based on characteristics of formulation and assay conditions. This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012. Published article: https://www.dovepress.com/empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-fulltext-article-IJN -
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O2 pathway and ROS generation model
Multi-scale Modeling of Skeletal Muscle ROS Generation
... an integrative mathematical model of O2 transport and utilization in skeletal muscle to predict conditions under which PmO2 might fall enough to cause abnormally high ROS generation. For further details please see http://www.ncbi.nlm.nih.gov/pubmed/25375931. -
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Cost Modeling Tool for SoC Testing
Matlab based Cost Modeling Tool for SoC Testing
... cost estimation tool takes into consideration the various parameters and mathematical relations on account of Logic Built in Self Test (LBIST) and Memory Built in Self Test (MBIST). VLSI test engineers can take the benefit of this GUI based cost estimation tools for better test planning. -
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LMFD
Lattice-based Multi-Fluids Dynamics;LBM for Gas-solid Two-phase Flows
LMFD ( Lattice-based Multi-Fluids Dynamics) is a multiphase flow simulator in framework of lattice Boltzmann method (LBM). It is a program for the modeling and simulation of multiphase flows (mainly gas-solid two-phase flows) at different levels, including macroscopic two-fluid model (TFM), mesoscopic discrete particle simulation (DPS) , and microscopic direct numerical simulation (DNS) . -
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DyMMM
Dynamic Multispecies Metabolic Modeling framework
The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between... -
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itermd
Software tools for applications of simulations by iterations.
For simulations or modeling studies of regulations, Automation or various phenomena, with parameters that may be random, interdependent variables without simple rules, etc.. It can also be used to study mathematical curves remarkable how 'pragmatic'. The claim of these tools is to facilitate the programming of simulations by providing routines to quickly generate: -display windows and input parameters -help to display the variation in the data as graphs -management of iterations Goal... -
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sysbio_ecoli_modeling
Mathematical modeling of E. coli carbohydrate uptake and metabolism
Metabolism and signalling are tightly coupled in bacteria. Combinig several theoretical approaches a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signalling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the... -
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pyFormex is a program for generating, transforming and manipulating large geometrical models of 3D structures by sequences of mathematical operations.
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Software to aid the storage and development of mathematical models, such as ones written in modeling languages like CellML.
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Mathematical modeling of microstructure evolution in polycrystalline materials. Department of Mathematical Sciences, George Mason University
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