Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/j.ctt1bh4c8h.5 ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad ...

The authors of this article, published in 2015, have written a response to their work in light of the COVID-19 pandemic. We urge our readers to consider the response ...

LPModel is a lightweight, high-precision Linear Programming solver modeling layer written in C++. Under the hood, it relies on a custom Rational class to completely eliminate floating-point precision ...