Abstract: The separable nonlinear least-squares (SNLLS) problems considered in this article frequently appear in a wide range of research fields, such as machine learning, computer vision, system ...

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Conti C, Cuyt A & Lee W (2026) An alternative variable projection formulation for small-size separable models. Numerical Algorithms. https://doi.org/10.1007/s11075 ...

This paper proposes a symmetric alternating direction method of multipliers with two different relaxation factors for solving nonconvex optimization problems with linear constraints and a ...

Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and ...

Abstract: Separable nonlinear least-squares (SNLLS) problems arise frequently in many research fields, such as system identification and machine learning. The variable projection (VP) method is a very ...

In the field of evolutionary computation, it is common to compare different algorithms using a large test set, especially when the test involves function optimization [GW93]. However, the ...

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Note: Nonnegative Matrix Factorization is an area of active research. New algorithms are proposed every year. Contributions are very welcomed. Most types and functions (except the high-level function ...