Linear Systems, Signal Processing and Hypercomplex Analysis Chapman University, November 2017 için kapak resmi
Linear Systems, Signal Processing and Hypercomplex Analysis Chapman University, November 2017
Başlık:
Linear Systems, Signal Processing and Hypercomplex Analysis Chapman University, November 2017
Yazar:
Alpay, Daniel. editor.
ISBN:
9783030184841
Edisyon:
1st ed. 2019.
Fiziksel Niteleme:
VIII, 316 p. online resource.
Seri:
Linear Operators and Linear Systems, 275
İçindekiler:
Multiplicative Stieltjes functions and associated pairs of reproducing kernel Hilbert spaces -- Quasi boundary triples, self-adjoint extensions, and Robin Laplacians on the half-space -- Graph Laplace and Markov operators on a Measure Space -- Conditionally free probability -- Boundary values of Discrete Monogenic Functions over Bounded Domains in R3 -- Semicircular Elements Induced by Projections on Separable Hilbert Spaces -- On a Backward Shifting Problem for [α,∞)-non-negative Definite Sequences of Complex q x q matrices -- Evolution of Nodes and their Application to Completely Integrable PDEs -- Frobenius Determinants and Bessel functions -- Algebraic Residue Calculus Beyond the Complex Setting.
Özet:
This volume includes contributions originating from a conference held at Chapman University during November 14-19, 2017. It presents original research by experts in signal processing, linear systems, operator theory, complex and hypercomplex analysis and related topics.