Optimization in Industrial Engineering: From Classical Methods to Modern Metaheuristics with MATLAB Applications (Synthesis Lectures on Engineering, Science, and Technology) MATLAB Coding12:51 This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, wit...
Assessing code performance Using Source Control Day 2 of 2 Creating Robust Applications Objective:Create robust applications that withstand unexpected input and produce meaningful errors. Use built-in MATLAB functions and programming constructs, and employ standard techniques for handling error conditions. Cr...
This two-day course covers a variety of techniques for making your MATLAB®code run faster. You will identify and remove computational bottle-necks using techniques like preallocation and vectorization. In addition, you will compile MATLAB code into MEX-files using MATLAB Coder™. On top of th...
The provided Matlab code and its extensions are explained in detail. Options to run the optimization with and without filtering techniques are provided. Steps to include different boundary conditions, multiple load cases, active and passive regions, and a Heaviside projection filter are also discussed...
By integrating Halide with the C and C++ languages, the code generator can produce highly efficient code for high-performance array processing through different optimization techniques. With Embedded Coder®, you can decide whether to include Halide code into your existing C/C++ projects by ...
However, since Wireless Sensor Networks comprise energy-limited devices, techniques to save energy have become a trend in research. Since energy-saving comes at a cost to the network, its consequences must be thoroughly considered in order to keep their communication effective. In this work, the ...
In the topology optimization, filters are introduced to avoid numerical instabilities. Different filtering techniques may result different discreteness of the final solutions, and sometimes may even contribute to different topologies. In addition to density filter, in the literatures there are bunch of di...
In this post, I will discuss techniques you can use to maximize the performance of your GPU-accelerated MATLAB® code. First I explain how to write MATLAB code…
In this topic, you will learn various optimization techniques to enhance the execution speed of Simulink®applications on Texas Instruments®C2000™ devices. You will explore configuration parameter adjustments in the code generation settings, such as selectingFaster Runsin the build configuration and...
candidates for acceleration using a GPU. In cases wherefor-loops cannot be vectorized, you can often use a parallelfor-loop (parfor) or C-code generation to accelerate the algorithm. See the sections on parallel computing and generating C code from MATLAB for more details on these techniques....