Provide two (2) examples of optimization problems that require curve fitting. Describe each one briefly.
Provide two (2) examples of optimization problems that require curve fitting.
Describe each one briefly.
Homework Answers
The subject of optimization and curve fitting has received a lot of attention by trading system.curve fitting is the process of finding a curve that fits best a collection of data points in a sense that some objective function subject to constraints are maximised
Example: Least square is a curve fitting method that minimises the sum of squared individuals.A residual is the difference between a fitted and actual value. The objective function is to minimize when using this method in order to get the best fit,is the sum of squared residuals
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Provide two (2) examples of optimization problems that require
curve fitting.
Describe each one briefly.
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Provide one example of a multi‐objective optimization problem in which the objectives ARE competing. Describe the problem briefly and justify your conclusion.
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