In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) is funding a further 15 Emmy Noether Groups in the field of “Methods in Artificial Intelligence”. This was decided by the DFG’s ...

The overlap and dynamic variation of measurement areas have long been key factors affecting the accuracy of airborne gamma-ray measurements. Addressing this challenge critically depends on the ...

Almost everyone has heard about the transposition of good and evil and truth and falsehood. The essential message of the popular 1999 movie, The Matrix, revolves around people awakening to the true ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

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 ...

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 ...

Numerical-Methods-Console-App/ │ ├── Regression Methods │ │ │ ├── Exponential Regression │ │ ├── Exponential Regression.cpp │ │ ├── input.txt │ │ └── output.txt │ │ │ ├── Linear Regression ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...

Arceon (Delft, Netherlands) produces a family of ceramic matrix composites (CMC) called Carbeon which comprise uncoated carbon fiber reinforcement in a carbon-silicon carbide matrix (C/C-SiC) made ...