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Optimization is the process of finding the optimum value of an objective function by using iterative operations on a set of constraints. It involves finding minimum/maximum value of the objective function f(x) subject to some constraint. Optimization in Matlab can be achieved by using a variety of algorithms, some of which are listed below.
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Optimization in Matlab Tutorials covers following topics.
Engineering Mathematics is a branch of Mathematics that includes using mathematics to complex real world engineering problems. It combines engineering and mathematics to compute and solve challenges in engineering application. Further, Engineering Mathematics advances the application of mathematics to find a solution to problems in engineering. Matlab for Engineering Mathematics involves implementing advanced mathematical techniques for analytical and computer solutions of problems. The Matlab Tutorials in Engineering Mathematics will help you with following:
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Matlab Tutorials in Engineering Mathematics will provide you an insight in Advanced Engineering Mathematics in Matlab, Applied Mathematics in Matlab, Curve Fitting in Matlab, Data Regression in Matlab, Fuzzy Logic in Matlab, Global Optimization in Matlab, Optimization Techniques in Matlab, Multi-Objective Optimization in Matlab, Symbolic Math in Matlab.