Okay, William, I helped you out on the computational geometry, but this question is obviously for homework. And it's very easy for someone who has been attending class and reading the book.
Here's the problem. You are in school in order to develop skills. If you don't do the work yourself, you won't have the skills. Assuming you even get a job, you'll be one of those guys who's always pestering the other programmers to try and do your work for you. Instead of contributing to the team, you'll hold everyone back. Ultimately, people will figure out that they're better off without you, and either just fire you or transfer you to some unlucky department.
Is that what you want? To be pathetic and useless? I don't think so. Make yourself strong now, and you'll be glad later.
In computational complexity theory, big O notation is often used to describe how the size of the input data affects an algorithm's usage of computational resources (usually running time or memory). It is also called Big Oh notation, Landau notation, Bachmann-Landau notation, and asymptotic notation. Big O notation is also used in many other scientific and mathematical fields to provide similar estimations. In the above it means if x is doubled then complexity becomes half
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Good luck doing your homework!
Okay, William, I helped you out on the computational geometry, but this question is obviously for homework. And it's very easy for someone who has been attending class and reading the book.
Here's the problem. You are in school in order to develop skills. If you don't do the work yourself, you won't have the skills. Assuming you even get a job, you'll be one of those guys who's always pestering the other programmers to try and do your work for you. Instead of contributing to the team, you'll hold everyone back. Ultimately, people will figure out that they're better off without you, and either just fire you or transfer you to some unlucky department.
Is that what you want? To be pathetic and useless? I don't think so. Make yourself strong now, and you'll be glad later.
In computational complexity theory, big O notation is often used to describe how the size of the input data affects an algorithm's usage of computational resources (usually running time or memory). It is also called Big Oh notation, Landau notation, Bachmann-Landau notation, and asymptotic notation. Big O notation is also used in many other scientific and mathematical fields to provide similar estimations. In the above it means if x is doubled then complexity becomes half