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Custom solutions for a ubiquitous data science tool
Least squares optimization problems are found in almost every industry and technical discipline,
with applications ranging from curve fitting to signal processing, machine learning and more. The solution of least squares problems has become routine with widely available algorithms in a variety of software packages. However, many companies still require custom least squares solutions for formulating the problem, choosing an algorithm, or embedding an efficient custom solver for a specific problem type.
xStar Research has experience identifying mathematical optimization opportunities in technical problems, and developing, implementing, and using custom optimization algorithms such as least squares. We are familiar with and have developed algorithms for both unconstrained and constrained optimization, as well as dense and sparse problems. Check out our primer on solving ordinary least squares problems below!
