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hessf1 (generic function with 1 method) Consider the function f1(x,y)=3x420x3+36x2+3y420y3+36y2 and the four points (0.25,0.25) - (2.75,3.25) - (2.0,2.0) (2.25,1.75) Use the given function hessian_trust_region
hessf1 (generic function with 1 method) Consider the function f1(x,y)=3x420x3+36x2+3y420y3+36y2 and the four points (0.25,0.25) - (2.75,3.25) - (2.0,2.0) (2.25,1.75) Use the given function hessian_trust_region to find the result of using the trust-region method using the exact Hessian. l.e., use hessian_trust_region ([0.25,0.25],f1,gradf1, hessf f1,0.5,2.0) Report back the following: - optimizing point - optimum value of the objective function - number of iterations or if the algorithm does not converge. Are we converging to local minima, global minima, maxima, etc
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