Riemannian manifolds.
Overview
Works: | 83 works in 21 publications in 21 languages |
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Titles
Vanishing and finiteness results in geometric analysis = a generalization of the Bochner technique /
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The AB program in geometric analysis : = sharp Sobolev inequalities and related problems /
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Spectral geometry of the Laplacian = spectral analysis and differential geometry of the Laplacian /
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Elliptic carleman estimates and applications to stabilization and controllability.. Volume II,. General boundary conditions on Riemannian manifolds
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An introduction to differentiable manifolds and Riemannian geometry /
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The Laplacian on a Riemannian manifold : = an introduction to analysis on manifolds /
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Lectures on Hermitian-Einstein metrics for stable bundles and Kahler-Einstein metrics : = delivered at the German Mathematical Society Seminar in Dusseldorf in June, 1986 /
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L2-invariants : = theory and applications to geometry and K-theory /
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Computers, rigidity, and moduli : = the large-scale fractal geometry of Riemannian moduli space /
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Complex, contact and symmetric manifolds : = in honor of L. Vanhecke /
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Isoperimetric inequalities : = differential geometric and analytic perspectives /
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Complex, Contact and Symmetric Manifolds = In Honor of L. Vanhecke /
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Geometric Mechanics on Riemannian Manifolds = Applications to Partial Differential Equations /
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The geometry of curvature homogeneous pseudo-Riemannian manifolds /
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Nonlinear analysis on manifolds : = Sobolev spaces and inequalities /
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An introduction to the analysis of paths on a Riemannian manifold /
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Riemannian submersions, Riemannian maps in Hermitian geometry, and their applications /
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Geometric analysis of quasilinear inequalities on complete manifolds = maximum and compact support principles and detours on manifolds /
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The volume of vector fields on Riemannian manifolds = main results and open problems /
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Hardy spaces and potential theory on C p1 s domains in Riemannian manifolds /
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Algorithmic advances in Riemannian geometry and applications = for machine learning, computer vision, statistics, and optimization /
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Geometric analysis on the Heisenberg group and its generalizations /
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