Algorithm for an elliptic equation

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In summary, the conversation discusses the challenge of creating a method for finding the number of integer coordinate pair solutions for three separate equations with specific criteria. The individual is seeking help in finding a more efficient algorithm, possibly using linear algebra or matrix manipulation, to avoid the slow brute force method. It is suggested that this topic falls under algebraic geometry and may require further research and implementation considerations.
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Rafajafar
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Hello,
I'm trying to create my own version of the Sieve of Atkin for my Algorithm class final project, but ran into a wall. I want to be able to create a method of algorithmically finding the number of integer coordinate pair solutions such that x > 0 and y > 0 for the following equations:

4x^2 + y^2 = n.
3x^2 + y^2 = n.
3x^2 - y^2 = n.

For a set of particular n determined earlier in the program. This is NOT a set of related equations. Each equation is separate from each other as different cases.

Now, I know how to do this analytically, but telling a computer to do this without using the brute force method of checking each and every number combination (which slows down the program by the order of N^2) is posing a problem.

I was wondering if perhaps anyone here knows of a technique in linear algebra that could speed this process up? Perhaps some matrix algebra manipulation I could apply to each equation to find the number of coordinate pair solutions faster?

Please, any help would be much appreciated.
 
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  • #2
This is a rather complicated question which is dealt with in algebraic geometry, subsection elliptic curves. I don't know about specific algorithms, but I would assume that there are some. Probably not linear in time, but maybe in ##O(n\log n)## or similar. So the size of ##n## determines whether it is worth searching and implementing. There is no short answer which you might have looked for.
 

FAQ: Algorithm for an elliptic equation

What is an elliptic equation?

An elliptic equation is a type of partial differential equation that describes a physical system or process in which the solution is influenced by its boundary conditions. It is characterized by having a second-order derivative in its highest-order term.

What is the importance of an algorithm for an elliptic equation?

The algorithm for an elliptic equation is essential in solving these types of equations numerically. It is a step-by-step procedure that allows for the computation of an approximate solution to the equation, which may not have an exact solution.

How is an algorithm for an elliptic equation different from other types of equations?

An algorithm for an elliptic equation differs from other types of equations in that it requires the use of iterative methods, such as the finite difference method or finite element method, to approximate the solution. This is due to the presence of a second-order derivative in the equation.

What are some common applications of elliptic equations?

Elliptic equations have many practical applications, including in heat transfer, fluid flow, electrostatics, and quantum mechanics. They are also used in image processing and computer vision, as well as in finance and economics for option pricing and risk management.

What are the challenges in solving an elliptic equation using an algorithm?

One of the main challenges in solving an elliptic equation using an algorithm is ensuring accuracy and efficiency. The choice of algorithm and the discretization method used can greatly affect the accuracy of the solution. Additionally, the computational cost can be high, especially for complex geometries and boundary conditions.

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