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Review

2017

Review

2017

Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD… Expand

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Review

2015

Review

2015

Urban physics is the science and engineering of physical processes in urban areas. It basically refers to the transfer of heat… Expand

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Review

2014

Review

2014

Abstract Yield stress fluids are encountered in a wide range of applications: toothpastes, cements, mortars, foams, muds… Expand

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Highly Cited

2010

Highly Cited

2010

Introduction: Uncertainty Quantification and Propagation.- Basic Formulations.- Spectral Expansions.- Non-intrusive Methods… Expand

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Highly Cited

2006

Highly Cited

2006

The efficient numerical treatment of incompressible fluid dynamics is a formidable challenge in computational mathematics. To… Expand

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Highly Cited

2005

Highly Cited

2005

1. Introduction 2. 1D heat conduction 3. 1D conduction-convection 4. 2D boundary layers 5. 2D convection-Cartesian grids 6. 2D… Expand

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Highly Cited

2001

Highly Cited

2001

Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include… Expand

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Highly Cited

2000

Highly Cited

2000

Summary. The
$L^2$ Monge-Kantorovich mass transfer problem [31] is reset in a fluid mechanics framework and numerically solved… Expand

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Highly Cited

1999

Highly Cited

1999

Building animation tools for fluid-like motions is an important and challenging problem with many applications in computer… Expand

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Highly Cited

1995

Highly Cited

1995

*Introduction. *Conservation Laws of Fluid Motion and Boundary Conditions. *Turbulence and its Modelling. *The Finite Volume… Expand

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