文件名称:Hooke
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The elapsed time of Nelder and Mead simplex method seems to be larger than Hooke and Jeeves method but, it reached the solution in just 2 iterations which is remarkably less than the previous method. From Tables 1 and 2 it can be said that the optimized R, t and weight values are same in both methods.
Results of Part (a) and Part (b) are also parallel with the results of Homework III. Sequential Linear Programming methods seems to be closest method to Hooke and Jeeves method and Nelder and Mead simplex method. Yet all the differences between the final values are less than our termination parameter as a result, it can be said that all results have converged to the similar values. Thus the current solutions also gave us reliable results for the problem.-The elapsed time of Nelder and Mead simplex method seems to be larger than Hooke and Jeeves method but, it reached the solution in just 2 iterations which is remarkably less than the previous method. From Tables 1 and 2 it can be said that the optimized R, t and weight values are same in both methods.
Results of Part (a) and Part (b) are also parallel with the results of Homework III. Sequential Linear Programming methods seems to be closest method to Hooke and Jeeves method and Nelder and Mead simplex method. Yet all the differences between the final values are less than our termination parameter as a result, it can be said that all results have converged to the similar values. Thus the current solutions also gave us reliable results for the problem.
Results of Part (a) and Part (b) are also parallel with the results of Homework III. Sequential Linear Programming methods seems to be closest method to Hooke and Jeeves method and Nelder and Mead simplex method. Yet all the differences between the final values are less than our termination parameter as a result, it can be said that all results have converged to the similar values. Thus the current solutions also gave us reliable results for the problem.-The elapsed time of Nelder and Mead simplex method seems to be larger than Hooke and Jeeves method but, it reached the solution in just 2 iterations which is remarkably less than the previous method. From Tables 1 and 2 it can be said that the optimized R, t and weight values are same in both methods.
Results of Part (a) and Part (b) are also parallel with the results of Homework III. Sequential Linear Programming methods seems to be closest method to Hooke and Jeeves method and Nelder and Mead simplex method. Yet all the differences between the final values are less than our termination parameter as a result, it can be said that all results have converged to the similar values. Thus the current solutions also gave us reliable results for the problem.
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Hooke.m