Meetings/Workshops on Calculus, Differential Equations and Integration in the United States (USA)
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PD17 — SIAM Conference on Analysis of Partial Differential Equations
09 Dec 2017 - 12 Dec 2017 • Hyatt Regency Baltimore Inner Harbor, Baltimore, M, United States
The primary goal of this conference is to bring together scientists and mathematicians working in partial differential equations and related fields. Contemporary challenges raised by recent advances in engineering, industry, and bio-technology, will be confronted with state-of-the-art mathematical and computational tools in PDE. Some of the topics covered in this meeting can be found in the list of themes below. Advanced graduate students and young researchers are encouraged to participate. Limited funding is available for graduate students and recent PhDs.
Summer Graduate School: The ∂-Problem in the Twenty-First Century
11 Jun 2018 - 22 Jun 2018 • Mathematical Sciences Research Institute, Berkeley, United States
This Summer Graduate School will introduce students to the modern theory of the inhomogeneous Cauchy-Riemann equation, the fundamental partial differential equation of Complex Analysis. This theory uses powerful tools of partial differential equations, differential geometry and functional analysis to obtain a refined understanding of holomorphic functions on complex manifolds. Besides students planning to work in complex analysis, this course will be valuable to those planning to study partial differential equations, complex differential and algebraic geometry, and operator theory. The exposition will be self-contained and the prerequisites will be kept at a minimum.
ICERM Topical Workshop: Fractional PDEs: Theory, Algorithms and Applications
18 Jun 2018 - 22 Jun 2018 • Providence, RI, United States
Fractional partial differential equations (FPDEs) are emerging as a powerful tool for modeling challenging multiscale phenomena including overlapping microscopic and macroscopic scales. Compared to integer-order PDEs, the fractional order of the derivatives in FPDEs may be a function of space and time or even a distribution, opening up great opportunities for modeling and simulation of multi-physics phenomena, e.g. seamless transition from wave propagation to diﬀusion, or from local to non-local dynamics. In addition, data-driven fractional diﬀerential operators may be constructed to ﬁt data from a particular experiment or speciﬁc phenomenon, including the eﬀect of uncertainties. FPDEs lead to a paradigm shift, according to which data-driven fractional operators may be constructed to model a speciﬁc phenomenon instead of the current practice of tweaking free parameters that multiply pre-set integer-order differential operators. This workshop will cover all these areas, including (but not limited to) FPDE modeling, stochastic interpretation of FPDEs, efficient and accurate numerical solutions of FPDEs, mathematical analysis of FPDEs, and application of FPDE models.
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Last updated: 10 September 2017