How can I solve overdetermined systems of equations using GSL?

In summary, the speaker is looking for suggestions on how to solve an overdetermined system of equations with additional constraints using the GNU Scientific Library. Possible solutions include using numerical optimization techniques, genetic algorithms, or a symbolic mathematical solver.
  • #1
csopi
82
2
Hi,
I need to solve the following system of equations:

qa = fa (qa, qb, qc, qd)
qb = fb (qa, qb, qc, qd)
qc = fc (qa, qb, qc, qd)
qd = fd (qa, qb, qc, qd)

where all the variables and functions are complex. However, there are some additional constraints for the variables, let's call them

na (qa, qb, qc, qd) = 1
nb (qa, qb, qc, qd) = 1
nc (qa, qb, qc, qd) = 1
nd (qa, qb, qc, qd) = 1

My problem is, that if I take into account the constraints, the system will be overdetermined (4 variables, 8 equations). However, it is known, that it still has a lot of solutions.

I am quite new to GSL (GNU Scientific Library), and I do not know, how to solve overdetermined systems and I cannot find anything in the manual either.

Do you have any suggestions?
 
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  • #2
One way to approach this problem is to use a numerical optimization approach. You can use an optimization technique such as the Levenberg-Marquardt algorithm to minimize the differences between the equations and the constraints. This approach will allow you to find a set of values for the variables that minimizes the difference between the equations and the constraints. This may not be the exact solution, but it will give you a good approximation. Alternatively, you could use a method such as genetic algorithms to search for a solution. This would involve setting up an algorithm which randomly generates a set of values for the variables and then evaluates how close they are to satisfying the equations and constraints. The algorithm would then modify the values until a satisfactory solution is found. Finally, you could also try using a symbolic mathematical solver, such as Mathematica or Maple, to solve the system of equations symbolically. This would involve writing a program to set up the system of equations and then calling the solver to solve it. Whichever approach you choose, it should be possible to find a solution to your system of equations.
 

1. What is a system of equations in GSL?

A system of equations in GSL refers to a set of mathematical equations that work together to solve for multiple unknown variables. It is often represented in matrix form and can be solved using various methods such as substitution, elimination, and matrix operations.

2. What is the purpose of using a system of equations in GSL?

The purpose of using a system of equations in GSL is to solve for multiple unknown variables simultaneously. This is particularly useful in scientific and engineering fields where multiple variables are involved in a problem and need to be determined accurately.

3. How is a system of equations solved in GSL?

A system of equations in GSL can be solved using various methods such as substitution, elimination, and matrix operations. These methods involve manipulating the equations to isolate and solve for the unknown variables. GSL also has built-in functions and algorithms to solve systems of equations efficiently.

4. What are the common applications of a system of equations in GSL?

A system of equations in GSL has many applications in various fields, including physics, chemistry, economics, and engineering. It is commonly used to model and solve complex systems and problems that involve multiple variables and equations.

5. Are there any limitations to using a system of equations in GSL?

While systems of equations in GSL are powerful tools for solving complex problems, they do have some limitations. One limitation is that the equations must be linear, meaning they can only involve variables raised to the first power. Non-linear equations require more advanced methods to solve. Additionally, large systems of equations can be computationally intensive and may require specialized algorithms to solve efficiently.

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