Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Effective application of fault diagnosis models requires that new fault types can be recognized rapidly after they occur few times, even only one time. To this end, a self-adaptation graph attention ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP) problems, and mixed integer programming (MIP) problems. It is mainly written in C++, but also has some C. It ...

The objective of the present study was to compare feeds formulated using linear and non-linear programming in terms of live performance and internal and external egg quality of commercial laying hens.

Note that since I plotted a random sample of rows, the ones you get may differ from the ones I got. The resulting graph will be largely similar but probably not identical. OK, now we are in business.

Using Linear Graph Theory and the Principle of Orthogonality to Model Multibody, Multi-Domain Systems ...

Title Symbolic Programming of a Graph-Theoretic Approach to Flexible Multibody Dynamics ...