Level set methods have been used in a great number of applications in ℝ 2 and ℝ 3 and it is natural to consider extending some of these methods to problems defined on surfaces embedded in ℝ 3 or higher dimensions. In this paper we consider the treatment of level set equations on surfaces via a recent technique for solving partial differential equations (PDEs) on surfaces, the Closest Point Method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]). Our main modification is to introduce a Weighted Essentially Non-Oscillatory (WENO) interpolation step into the Closest Point Method. This, in combination with standard WENO for Hamilton-Jacobi equations, gives...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
We present a fast marching level set method for monotonically advancing fronts, which leads to an ex...
Borrowing from techniques developed for conservation law equations, we have developed both monotone ...
This thesis concerns the numerical solution of time-dependent partial differential equations (PDEs) ...
This thesis proposes a method to detect objects and patterns in textures on general surfaces. The ap...
We introduce a robust and high order strategy to perform the reinitialization in a level set framewo...
Since the seminal work of [92] on coupling the level set method of [69] to the equations for two-pha...
The Closest Point Method is a recent numerical technique for solving partial differential equations ...
This thesis introduces and analyses a numerical method for solving time-dependent partial differenti...
This thesis introduces and analyses a numerical method for solving time-dependent partial differenti...
Abstract. We introduce a method-of-lines formulation of the closest point method, a numerical techni...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
The level set method was devised by Osher and Sethian in [56] as a simple and versatile method for c...
Abstract. Many applications in the natural and applied sciences require the solutions of partial dif...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
We present a fast marching level set method for monotonically advancing fronts, which leads to an ex...
Borrowing from techniques developed for conservation law equations, we have developed both monotone ...
This thesis concerns the numerical solution of time-dependent partial differential equations (PDEs) ...
This thesis proposes a method to detect objects and patterns in textures on general surfaces. The ap...
We introduce a robust and high order strategy to perform the reinitialization in a level set framewo...
Since the seminal work of [92] on coupling the level set method of [69] to the equations for two-pha...
The Closest Point Method is a recent numerical technique for solving partial differential equations ...
This thesis introduces and analyses a numerical method for solving time-dependent partial differenti...
This thesis introduces and analyses a numerical method for solving time-dependent partial differenti...
Abstract. We introduce a method-of-lines formulation of the closest point method, a numerical techni...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
The level set method was devised by Osher and Sethian in [56] as a simple and versatile method for c...
Abstract. Many applications in the natural and applied sciences require the solutions of partial dif...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach app...
We present a fast marching level set method for monotonically advancing fronts, which leads to an ex...
Borrowing from techniques developed for conservation law equations, we have developed both monotone ...