Mathematical Foundations of Adaptive Isogeometric Analysis

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Publications associées (27)

Isogeometric Analysis for High Order Geometric Partial Differential Equations with Applications

Andrea Bartezzaghi

In this thesis, we consider the numerical approximation of high order geometric Partial Differential Equations (PDEs). We first consider high order PDEs defined on surfaces in the 3D space that are represented by single-patch tensor product NURBS. Then, we ...

EPFL2017

Secure numerical and logical multi party operations

Bin Lu

We derive algorithms for efficient secure numerical and logical operations in the semi-honest model ensuring statistical or perfect security for secure multi-party computation (MPC). To derive our algorithms for trigonometric functions, we use basic mathem ...

Elsevier Science Bv2017

Vision-Based Sense and Avoid Algorithms for Unmanned Aerial Vehicles

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The field of Unmanned Aerial Vehicles (UAVs), also known as drones, is rapidly growing, both in terms of size and of number of applications. Civil applications range from mapping, inspection, search and rescue, taking aerial footage, to art show, entertain ...

EPFL2017

Efficient computation of Sommerfeld integral tails - methods and algorithms

Krzysztof Michalski, Juan Ramon Mosig

A review is presented of the most effective methods for the computation of Sommerfeld integral tails. Such integrals, which are often oscillatory, singular and divergent, commonly arise in layered media Green functions. The mathematical foundations of vari ...

Taylor & Francis Ltd2016

Modern techniques and applications for real-time non-rigid registration

Sofien Bouaziz, Mark Pauly, Andrea Tagliasacchi, Hao Li

Registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGBD sensors (color plus depth), an active area of research is in techniques combining color, geometry, and lear ...

2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

Rental housing and the urban poor: understanding the growth and production of rental housing in Brazilian favelas

Jean-Claude Bolay

Rental housing is increasingly becoming the key shelter option for the poor living in and moving into cities, including those living in informal settlements. The paper revisits the production of rental housing in informal settlements within the new contour ...

2016

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