Models Danica Collins

This file includes models based on examples from the textbook, System Dynamics, 2e written by William Palm III and published by McGraw-Hill. The models are built using Simscape and Simulink. A free set of curriculum materials is available (for instructors) that includes a set of lecture slides... Platforms: Matlab

Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs. Therefore, unlike experimental design for linear models, the prior... Platforms: Matlab

Simulate and visualize three models for aggregated telecommunications traffic with long-range dependence: superposition of renewal processes, infinite source Poisson (M/G/Infinity) model and integrated sum of on-off processes. The simulations illustrate known limit results for the models.Under... Platforms: Matlab

The models demonstrated here are derived from measured data corresponding to macro cellular environments with path distances ranging from 1 km to over 10 km. The Hata and Lee models are the most commonly used models for signal prediction in urban areas.FOr the analysis purpose we have also... Platforms: Matlab

the package has compared two L1 regularized image restoration models Platforms: Matlab

A common task in Simulink is to test a certain component of a larger model. With large-scale modeling, such componentization is often accomplished through the use of model reference. These large models also often use bus signals to organize large amounts of signals in the model. The situation at... Platforms: Matlab

Tired of adding "To Workspace" or Display blocks when debugging your models?In this case, SIMLOG is for you. Select which signals to log, either individually or complete subsystems. After execution of the model, signals can quickly be inspected by selecting the signal in the model and click the... Platforms: Matlab

It is a tool of quantitative models to handle differenttypes of problems and help decision making. This is doneusing an algorithm to solve the transport problemthe Northwest Corner Method. Platforms: Matlab

These files introduce how Symbolic Math Toolboxd-OC?D? can be used to evaluate Nelson Siegel and Svensson models, which are 2 widely used techniques for modeling yield data. We demonstrate how you can define the models in the MuPAD notebook interface and perform some basic analysis and... Platforms: Matlab

Ascape is an innovative tool for developing and exploring general-purpose agent-based models. It is designed to be flexible and powerful, but also approachable, easy to use and expressive. Models can be developed in Ascape using far less code than in other tools. Ascape models are easier to... Platforms: Mac

Ursus Object Linker is a utility that creates groups of 3DMF (Quesa/QD3D) files from individual models for use in applications and games. Besides providing some speed and size benefits, use of object groups make streamlining and organizing object drawing code much easier. Platforms: Mac

Tamarin is a Django app used for parsing storing S3 bucket log data in local models. Said data can be used for monitoring: Resource usage for each bucket Which hosts are consuming the most buckets Which files are being downloaded most frequently Platforms: *nix

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report... Platforms: Matlab

The concept is explained in a document with a simple example. This method would be very useful for those who develop complex controller models and want to perform effective functional testing of them. Platforms: Matlab

The zip files contains SimulinkdlT« models that can be used for Teaching Signal Processing Concepts interactively. The models can be used for demonstrations or with modern teaching methods. The examples build on the ideas presented in the paper "Interactive models for teaching digital signal... Platforms: Matlab

Genetic Programming (GP) generates nonlinear input-output models of dynamical systems from input-output measurement data. This GP-OLS toolbox applies Orthogonal Least Squares algorithm (OLS) to improve the search effeciency of GP.It can be used for static equation discovery or structure... Platforms: Matlab

Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review... Platforms: Matlab

The following m files are written as part of my master's thesis at Masdar Instiute of Science and Technology.The compressor model is a semi-empirical and designed to be used for a positive displacement compressor. The constants in Tchparm.m for compressor model are obtained from experimental data... Platforms: Matlab

Adds support for loading Quake III models to the jPCT 3D engine. Platforms: Mac

This firmware update addresses an issue with certain MacBook and MacBook Pro models from 2007-2008 that prevents them from charging with new power adapters. Your computer's power cord must be connected and plugged into a working power source, or your battery must be at least 25% charged. Platforms: Mac