Threshold Dynamics Method: Theories, Algorithms, and Applications / Wang, Dong, author.

Multiple Testing and False Discovery Rate Control: Theory, Methods and Algorithms / Chen, Shiyun

Variational Models with Elastica Energies: A Comparison, a New Model and New Algorithms / He, Xuan

Performance Comparison of Imputation Algorithms on Missing at Random Data / Addo, Evans Dapaa

Optimization over Digraphs: Linear Algorithms with Linear Convergence / Xin, Ran, author.

Self-polar Polytopes and Sequential Importance Sampling Algorithms / Jensen, Alathea, author

On the Efficiency of Algorithms for Tensor Decompositions and Their Applications / Rouse, Kathryn

quantum-safe not much is known of what a quantum attack would look like on these algorithms. Specifically

-of-the-art algorithms on large, ill-conditioned problems. We discuss applications of the method to electronic structure

algorithms which outperformed the base learners when compared using standard evaluation metrics. The results

compared in simulation setting. An R package named TensorRegression was built to present the algorithms

To begin, a discussion of known effective and efficient algorithms for computing constellations