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$30-250 USD
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multiple 2D and 3D optimization methods,
Write a MATLAB script program that finds both the minimum and maximum of three dimensional function using Steepest Ascent Method. the guide lines for the coding are:
First, create a matrix of at least four starting guesses based on the range
Evaluate the partial derivatives numerically using the Central Difference Method (not analytically) to determine the direction of maximum gradient
Use the Golden Search Method to evaluate the maximum of your 2D direction function Use the Hessian matrix to determine if you’ve reach a local minimum or maximum. Your test script should also plot the locations of the minima and maxima on a 3D plot.
To evaluate your program, use the function,
o Fun=@(q,r) 1.8.^(-1.5*sqrt(q.^2+r.^2)).*cos(0.5*r).*sin(q);
and the report should cover Introduction and background, theory, results,
code description , verification and conclusion
Project ID: #10313953
About the project
13 freelancers are bidding on average $194 for this job
I have a PhD degree in computational physics and extensive knowledge and experience with math, statistics, numerical methods, data analysis, Matlab, Mathematica. I'm an expert in optimization, including the Steepest As More
I am a professional full time academic research writer fully proficient in HARVARD, APA, MLA, Chicago and Oxford writing styles. I am competent in writing dissertations, thesis, reports, case studies, personal developm More
Hi. I am sure I can do this. Regards.................................................................
I recently completed my optimization course, so all my my concepts are fresh. Also, during my coursework, as an assignment I developed code for 2D steepest descent search, so modifying it to your project would not be b More
Interesting and exciting project. I look forward to being granted an opportunity to execute it. Thanks.