Publication

Curable filler material for tubular structures

Andreas Schmocker
2018
Patents

Abstract

A radiopaque composition with low viscosity and increased photopolymerizability for application or filling of hollow structures is disclosed. Moreover, a method to apply and monitor the application and/or the photopolymerization of the composition are presented.

Official source

https://infoscience.epfl.ch/entities/publication/1bb9f84b-f8c7-420e-83da-273d1c4b2501

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Andreas Schmocker
2018
Patents

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/1bb9f84b-f8c7-420e-83da-273d1c4b2501

About this result

Related concepts (22)

Euler method

In mathematics and computational science, the Euler method (also called the forward Euler method) is a first-order numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. It is the most basic explicit method for numerical integration of ordinary differential equations and is the simplest Runge–Kutta method. The Euler method is named after Leonhard Euler, who first proposed it in his book Institutionum calculi integralis (published 1768–1870).

Iterative method

In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n-th approximation is derived from the previous ones. A specific implementation with termination criteria for a given iterative method like gradient descent, hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of the iterative method.

Heun's method

In mathematics and computational science, Heun's method may refer to the improved or modified Euler's method (that is, the explicit trapezoidal rule), or a similar two-stage Runge–Kutta method. It is named after Karl Heun and is a numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. Both variants can be seen as extensions of the Euler method into two-stage second-order Runge–Kutta methods.

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with

f_i:\mathcal{D}\mapsto \mathbb{R}

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