Inverse matrix using Hotelling Approximation

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SUMMARY

The discussion centers on Harold Hotelling's method for approximating the inverse of a matrix, as part of a Numeric Methods course. The original poster seeks resources to understand this approximation technique but initially struggles to find relevant information. A helpful link to a research paper on Project Euclid is shared, which may provide valuable insights into Hotelling's method. The community encourages further exploration and sharing of findings related to this topic.

PREREQUISITES
  • Understanding of matrix operations and properties
  • Familiarity with numerical methods in computational mathematics
  • Basic knowledge of statistical methods related to Hotelling's T-squared distribution
  • Experience with academic research and accessing scholarly articles
NEXT STEPS
  • Research Harold Hotelling's approximation techniques in matrix algebra
  • Study the application of Hotelling's T-squared test in multivariate statistics
  • Explore numerical methods for matrix inversion, focusing on iterative algorithms
  • Read the linked Project Euclid paper for detailed insights on Hotelling's method
USEFUL FOR

Students in numerical methods courses, researchers in statistics, and professionals seeking to understand matrix inversion techniques using Hotelling's approximation.

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Hello all,

I am taking a Numeric Methods course this semester and my professor asked us to investigate Harold Hotelling's method( I suppose this would be and approximation) of finding the inverse of a matrix. I have searched for day and have found many cool things linked to Hotteling but nothing to do with finding the inverse of a matrix. Can anyone point me in hte right direction.

Truly grateful. Thanks a lot!

Cheers!
 
Last edited:
Physics news on Phys.org
that is quite odd. Looks like a nice read. I'll be sure to post any problems. Thanks one million John.
 

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