Mathematical Analysis, Probability and Applications – Plenary Lectures
ISAAC 2015, Macau, China
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Beschreibung
This book collects lectures given by the plenary speakers at the 10th International ISAAC Congress, held in Macau, China in 2015. The contributions, authored by eminent specialists, present some of the most exciting recent developments in mathematical analysis, probability theory, and related applications. Topics include: partial differential equations in mathematical physics, Fourier analysis, probability and Brownian motion, numerical analysis, and reproducing kernels. The volume also presents a lecture on the visual exploration of complex functions using the domain coloring technique. Thanks to the accessible style used, readers only need a basic command of calculus.
This book collects lectures given by the plenary speakers at the 10th International ISAAC Congress, held in Macau, China in 2015. The contributions, authored by eminent specialists, present some of the most exciting recent developments in mathematical analysis, probability theory, and related applications. Topics include: partial differential equations in mathematical physics, Fourier analysis, probability and Brownian motion, numerical analysis, and reproducing kernels. The volume also presents a lecture on the visual exploration of complex functions using the domain coloring technique. Thanks to the accessible style used, readers only need a basic command of calculus.
Offers a quick and non-technical introduction to recent major themes in analysis and its applications Provides surveys on the latest achievements concerning partial differential equations in Mathematical Physics Highlights outstanding mathematical schools in Asia, especially from China, Japan and Vietnam Includes supplementary material: sn.pub/extras
Autor*in
Tao Qian
Themen in »Mathematical Analysis, Probability and Applications – Plenary Lectures«
functional analysis and function spaces operator theory and fourier analysis partial differential equations of mathematical physics probability and stochastic processes several complex variables and analytic spaces partial differential equations