Register for these seminars at www.mathworks.com/seminars/msu20119:30 a.m. – 12:00 p.m.
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:
You will also learn about different approaches you can use to develop models, including developing models programmatically using the MATLAB language, deriving closedform analytical equations using symbolic computation, and leveraging prebuilt graphical tools for specific modeling tasks such as curve and surface fitting.
In this session, you will learn how to solve computationally and dataintensive problems using multicore processors, GPUs, and computer clusters. We will introduce you to highlevel programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and run them on multiple processors. We will show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data. We will also illustrate how you can run the same application on a single machine using the Parallel Computing Toolbox and on a large scale computing resource such as a cluster, using the MATLAB Distributed Computing Server.This session will cover:

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