Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Numerical-Methods-Project/ │ ├── README.md │ ├── 01_Solution_of_Linear_Equations/ │ │ │ ├── Gauss_Elimination/ │ │ ├── theory.md │ │ ├── code/ │ │ │ └── gauss_elimination.cpp │ │ ├── input.txt │ │ └── ...

Given an n x n square matrix A, if there exists another matrix B such that AB = BA = I (where I is the identity matrix), then B is called the inverse matrix of A and is denoted by A-1. The general ...

Abstract: In traditional magnetotelluric (MT) inversion, there is the problem of insufficient inversion resolution, which cannot fully meet the needs of geological exploration for the analysis of high ...

Abstract: One of the primary objectives of 2-D inverse scattering problems (ISPs) is to accurately characterize the nature of an unknown tomographic domain based on the collected scattered field data.

Researchers have developed a nanoparticle platform that can deliver mRNA therapy to affected cartilage based on ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Nitin Joshi, PhD, and Jingjing Gao, PhD, of the Department of Anesthesiology at Mass General Brigham, are the co-senior authors of a paper published in Nature Nanotechnology, “A ...

Jiahao Wang (Shandong University), Guoming Zhang (Shandong University), Yanni Yang (Shandong University), Riccardo Spolaor ...