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Use a layered approach to break the parameter estimation problem into a subset of data and parameter values so that the optimizer can focus on a specific problem.
Topics covered include assessing code performance, adopting efficient serial programming practices, working with System objects, performing parallel computing, and generating C code.
Simulations in MATLAB and Simulink enable Johnson Matthey engineers to understand the complex interactions taking place within a catalyst, see which parameters most affect the output, and make design trade-offs based on the results.
Three techniques for finding a control strategy for optimal operation of a hydroelectric dam: using a nonlinear optimization algorithm, a nonlinear optimization algorithm with derivative functions, and quadratic programming.
Developed in MATLAB, Sonarscope software lets researchers process, analyze, and visualize terabytes of raw MBES data.
Amimon's Wireless Home Digital Interface technology enables 1080p frames to be sent 60 times per second through walls to a device 100 feet away.
Using WMS to simplify the process of finding geospatial raster data and Mapping Toolbox to analyze the data and create map displays.
A MATLAB based model helps analysts project the future state of the New Zealand economy.
This article demonstrates how to ease the calculation and use of gradients using Symbolic Math Toolbox™.
This article describes two ways to use parallel computing to accelerate the solution of computationally expensive optimization problems.
Professors describe a lab called “MATLAB meets LEGO Mindstorms,” where more than 300 first-year students at RWTH Aachen University in Germany build and program their own robots.
Use these tools and techniques to create designs that perform as expected over time and are insensitive to changes in manufacturing, operational, or environmental factors.
In the summer of 2002, flooding in Europe caused billions of Euros in damage. Five years earlier, a 75% drop in the Thai stock market contributed to a 554-point drop in the Dow Jones Industrial Average on October 27, 1997.
Using MATLAB based fluid dynamics models, engineers simulated the airflow through all 154 kilometers of tunnels and shafts simultaneously.
This article describes a process for creating a parameterized battery model capable of providing accurate simulation results and fast simulation speed.
Engineers and scientists use a variety of approaches to improve or design quality into products.
Optimization Toolbox features new methods for large-scale problems.

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