LogicMin is a Python package that minimize boolean functions using the tabular method of minimization (Quine-McCluskey). An object represent a truth table to which rows are added. After all rows are ...

Abstract: Composite function minimization captures a wide spectrum of applications in both computer vision and machine learning. It includes bound constrained optimization and cardinality regularized ...

Abstract: In deep learning, finding flat minima of loss function is a hot research topic in improving generalization. The existing methods usually find flat minima by sharpness minimization algorithms ...

The CALPHAD (CALculation of PHAse Diagram) approach provides predictions for thermodynamically stable phases in multicomponent-multiphase materials across a wide range of temperatures. Consequently, ...

Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization ...

The regularity properties of a value function associated with an optimal control problem have been deeply studied in the last decades, extensively using tools from geometric control theory and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The discovery of new materials in unexplored chemical spaces necessitates quick and ...

This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines ...

Metabolism relies on a small class of molecules (coenzymes) that serve as universal donors and acceptors of key chemical groups and electrons. Although metabolic networks crucially depend on ...

Behavioral scientists need a principled methodology for working with large datasets. We offer an exploratory approach that combines ideas from machine learning and psychology, and we conduct a case ...