Liouville have developed the theory of this ... is used to develop for the numerical solutions of integral equations, integro-differential equations and FPDEs. Some polynomials which can be utilized ...

The course gives insight into theory and algorithms for fundamental mathematical ... The subject assumes familiarity with linear algebra and calculus of several variables. Students admitted at UiO ...

Abstract: The numerical sensitivity of linear matrix inequalities (LMIs) arising from discrete-time control with short sampling periods is analyzed using shift and delta operators. The delta operator ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

Abstract: In this paper, we consider some known problems of graph theory from the linear algebra point of view. Studying features of vector spaces over characteristic-two finite field allows us to ...

Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the ...

She said, "Their costumes remind me of the red pill and blue pill in The Matrix." I reflected on the significance of those pills in the '90s classic and was stunned to find that they add yet another ...

See an example of the kind of research the school is working on in this film I have weekly meetings with my supervisor, not just discussing the research but also how I'm feeling mentally and what I am ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...