Paper Info
Title
On the Existence of a Progressive Variational Vademecum based on the Proper Generalized Decomposition for a Class of Elliptic Parameterized Problems.
Abstract
In this study, we present the mathematical analysis needed to explain the convergence of a progressive variational vademecum based on the proper generalized decomposition (PGD). The PGD is a novel technique that was developed recently for solving problems with high dimensions, and it also provides new approaches for obtaining the solutions of elliptic and parabolic problems via the abstract separation of variables method. This new scenario requires a mathematical framework in order to justify its application to the solution of numerical problems and the PGD can help in the change to this paradigm. The main aim of this study is to provide a mathematical environment for defining the notion of progressive variational vademecum. We prove the convergence of this iterative procedure and we also provide the first order optimality conditions in order to construct the numerical approximations of the parameterized solutions. In particular, we illustrate this methodology based on a robot path planning problem. This is one of the common tasks when designing the trajectory or path of a mobile robot. The construction of a progressive variational vademecum provides a novel methodology for computing all the possible paths from any start and goal positions derived from a harmonic potential field in a predefined map.
Year
DOI
Venue
2018
10.1016/j.cam.2017.08.007
Journal of Computational and Applied Mathematics
Keywords
Field
DocType
Proper generalized decomposition,Robot mobile trajectory,Tensor Hilbert space,Variational vademecum
Convergence (routing),Parameterized complexity,Mathematical optimization,Mathematical analysis,Approximations of π,Harmonic,Mathematics,Separation of variables,Trajectory,Mobile robot,Parabola
Journal
Volume
ISSN
Citations 
330
0377-0427
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Antonio Falcó1415.43
N. Montés233.13
Francisco Chinesta33618.92
L. Hilario432.12
M. C. Mora5134.21