We discuss problems related to the analysis of finite temperature general mesonic correlators and provide preliminary results on the pion wave function and dispersion law in quenched QCD at T {reversed tilde equals} 0...
We briefly summarize our results of quenched Wilson hadron spectroscopy at β = 6.3 on a 323 × 48 lattice. The spectrum of pseudo scalar and vector mesons, (1/2)+ and (3/2)+ baryons composed of up, down, strange ...
Two-point Green's function is measured on the manifolds of a 2-dimensional quantum gravity. The recursive sampling technique is used to generate the triangulations, lattice sizes being up to hundred thousand trian...
Two-point Green's function is measured on the manifolds of a 2-dimensional quantum gravity. The recursive sampling technique is used to generate the triangulations, lattice sizes being up to hundred thousand triangles. The grid Laplacian was inverted by means of the algebraic multi-grid solver. The free field model of the Quantum Gravity assumes the Gaussian behavior of Liouville field and curvature. We measured histograms as well as six momenta of these fields. Our results support the Gaussian assumption.
S. Kida, M. Takaoka, F. Hussain; Corrigendum:‘‘Reconnection of two vortex rings’’ [Phys. Fluids A 1, 630 (1989)]Comments, physics of Fluids A: Fluid Dynamics, V
S. Kida, M. Takaoka, F. Hussain; Corrigendum:‘‘Reconnection of two vortex rings’’ [Phys. Fluids A 1, 630 (1989)]Comments, physics of Fluids A: Fluid Dynamics, V
For standard mapping, we calculate analytically the values of non-integrable parameter where the period 1 to 4 orbits variate their stability via tangent bifurcation, period doubling bifurcation and period equal bifur...
For standard mapping, we calculate analytically the values of non-integrable parameter where the period 1 to 4 orbits variate their stability via tangent bifurcation, period doubling bifurcation and period equal bifurcation. Hence, the analytical stable windows of periodic orbits are given and a complete picture can be seen for the behaviour of bifurcation of periodic motion in standard mapping.
Geospatial Technologies and Climate Change describes various approaches from different countries on how to use geospatial technologies to help solving climate change issues. It also details how different geospatial te...
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ISBN:
(数字)9783319016894
ISBN:
(纸本)9783319016887;9783319343846
Geospatial Technologies and Climate Change describes various approaches from different countries on how to use geospatial technologies to help solving climate change issues. It also details how different geospatial technologies (remote sensing, Geographical Information System…) can be used to help with climate monitoring and modeling, how to work with them and what to be careful about. This book is written by scientific experts from four different continents. Written in a comprehensive and complete way, this book is essential reading material for graduate and undergraduate students interested in these techniques and in climate change.
This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Compu...
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ISBN:
(数字)9789811627019
ISBN:
(纸本)9789811627002;9789811627033
This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing computationalscience Research Center, Beijing, China, April 21–24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday.;The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.
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