Optimization in MATLAB | Numerical Methods | @MATLABHelper

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0:00 Introduction
0:29 Understanding Parabolic interpolation
1:11 MATLAB code to implement Parabolic interpolation
3:43 Understanding Multidimensional optimization
4:18 MATLAB code to implement Multidimensional optimization

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0:00 Introduction
0:29 Understanding Parabolic interpolation
1:11 MATLAB code to implement Parabolic interpolation
3:43 Understanding Multidimensional optimization
4:18 MATLAB code to implement Multidimensional optimization

MATLABHelper
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#Optimization has two types:
1.#Parabolic interpolation method of 1D optimization:In the formula, x1, x2, x3 =#Initial guesses, x4 is the value of x that corresponds to the optimum value of parabolic fit to the guesses.We have created a function, #f[x, fx]=#parab(f, x1, x2, x3, es).Where, f=name of function and# es=desired relative error.The output #x=location of minimum and #fx=minimum function value.Here at least 4 input arguments are required.If arguments are less than 5 and es is empty, reset es to default value of# 0.0001.Implementing parabolic formula in for loop, we will get the root.
2.#Multidimensional optimization:The functions required to perform these are, #linspace(), #contour(), #surfc(), #floor(), #ceil().

dishanikam
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Thanks !
Video helped me clear some more concepts related to quantization.

siyaramsoni
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nice video thanx matlab helper for this

atulkumar-lrfe
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nice work upload more
but please provide link to previous part..

AnshGupta-niig
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The way you speak is the best part apart from the awesome work you have done

ravimeena
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can you turn the music off please ? Its annoying. if you make a separate music channel. i'll follow that channel for just the bloody music. Please cut out the music.

whoknowsmerida