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MEEN 357 Engineering Analysis for Mechanical Engineers Spring 2018 Task 5: Create a function optinewton2V.m which performs advanced gradient approach for optimization of two variable
MEEN 357 Engineering Analysis for Mechanical Engineers Spring 2018 Task 5: Create a function optinewton2V.m which performs advanced gradient approach for optimization of two variable (10 Pts) Write a function optinewton2V.m which uses the Newton's method of advanced gradient approach for unconstrained optimization of an objective function of 2 variables with a initial seed values [x, y] optinewton2V.m General Descriptionn This returns the point of optimum of a supplied function f(x,y) Calling Syntax Input Argument scalar numbers. pointer A handle to an external function with interface f(x,y) Return Argument x opt, y_opt slar Optimum value of x and y for f(x.y) Additional Specifications and Notes * This function must check to ensure that only one scalar argument is input. If not, a meaningful error message must be issued. * It must return optimum value of x and y " Use a tolerance of 0.001 for halting the optimization Use a step size of 0.02 for the calculation of gradients and the elements of the Hessian matrix
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