Matlab Modeling and Optimization

Join MathWorks for free MATLAB seminars on Tuesday, April 2nd and Wednesday, April 3rd in 110 INSCC Auditorium

Session 1: Tuesday, April 2nd
110 INSCC Auditorium
9:00 - 11:00 a.m.

Mathematical Modeling with MATLAB Products
Mathematical models are critical to understanding and accurately simulating the behavior of complex systems. They enable important tasks such as forecasting system behavior for various "what if" scenarios, characterizing system response, and designing control systems.

This session will show how you can use MATLAB products for mathematical modeling tasks, including:

  • Developing models using data fitting and first-principle modeling techniques
  • Optimizing the accuracy of models
  • Simulating models and postprocessing results
  • Documenting and sharing models

You will also learn about different approaches you can use to develop models, including developing models programmatically using the MATLAB language, deriving closed-form analytical equations using symbolic computation, and leveraging prebuilt graphical tools for specific modeling tasks such as curve and surface fitting.

Session 2: Wednesday, April 3rd
110 INSCC Auditorium
2:00pm - 4:00pm

Optimizing and Accelerating Your MATLAB Code
In this session you will learn simple ways to optimize your MATLAB code to reduce the execution time of computationally intensive MATLAB applications. We will address common pitfalls in writing MATLAB code and explore the use of the MATLAB Profiler to find bottlenecks. We will also introduce high-level programming constructs from the Parallel Computing Toolbox that allow you to create and run parallel MATLAB applications on multicore processors, GPU's and clusters without low-level CUDA or MPI programming.

Highlights include:

  • Optimizing MATLAB code to boost execution speed
  • Creating parallel applications to speed up independent tasks
  • Scaling up to computer clusters, grid environments or clouds
  • Employing GPUs to speed up your computations

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