Learn LU Decomposition in Java: No Linear Algebra Libraries Required

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  • Thread starter Thread starter RyMi
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SUMMARY

The discussion focuses on implementing LU decomposition in Java without utilizing any linear algebra libraries. The user seeks guidance on pseudo-code or resources to achieve this, expressing a lack of understanding of linear algebra concepts. Participants clarify that LU decomposition is inherently a linear algebra problem and recommend resources such as the Netlib library for further exploration. The conversation highlights the importance of foundational knowledge in linear algebra for successfully implementing LU decomposition algorithms.

PREREQUISITES
  • Understanding of LU decomposition algorithms
  • Basic knowledge of Java programming
  • Familiarity with matrix operations
  • Concepts of linear algebra
NEXT STEPS
  • Research LU decomposition algorithms in detail
  • Explore Java implementations of matrix operations
  • Study resources on linear algebra fundamentals
  • Examine the Netlib library for additional examples
USEFUL FOR

Students in calculus or linear algebra courses, Java developers interested in numerical methods, and anyone looking to implement mathematical algorithms without relying on external libraries.

RyMi
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I need to write a program utilizing LU decomposition of a matrix in Java without using any linear algebra libraries so I was wondering if anyone can give me some pseudo-code or a link or something. I know you're supposed to post your attempt, but I literally have no idea what I'm doing. This is way past my capabilities. I'm horrible in linear algebra. Any help will be greatly appreciated.
 
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Wrong section mate. :-\
 
Well it's actually for my calc 3 class and I thought someone over here might have more knowledge on the subject.
 
Well okay.

When you say you can't use linear algebra what do you mean?
LU decomposition is a linear algebra problem and there are algorithms for finding the matrices on wiki. :-$
 
This looks helpful.

Thank you, Electrician
 
Oh I'm dumb. I meant to say linear algebra libraries/packages.

Sorry.
 

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