Least squares solver in Julia
12 Stars
Updated Last
3 Years Ago
Started In
May 2014


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LinearLeastSquares.jl (LLS) is a library that makes it easy to formulate and solf least-squares optimization problems with linear equality constraints. The full documentation is available online.

LLS is actively maintained for the course EE103, Introduction to Matrix Methods. The course is typically taught in the fall. You can find accompanying resources and the textbook Vectors, Matrices, and Least Squares on the Stanford course website.

Please open an issue on this GitHub repo if you encounter issues with our package.