Principal manifold learning by sparse grids-Reference-Cited by-同舟云学术

Principal manifold learning by sparse grids

Published:2009-07-28 Issue:4 Volume:85 Page:267-299
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Feuersänger Christian,Griebel Michael

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-009-0045-8.pdf

Reference66 articles.

1. http://www.cse.msu.edu/~lawhiu/manifold/

2. http://www.cs.ubc.ca/~mwill/dimreduct.htm

3. http://www.iro.umontreal.ca/~kegl/research/pcurves/implementations/index.html

4. Aronzaijn N (1950) Theory of reproducing kernels. Trans Am Math Soc 68: 337–404

5. Babenko K (1960) Approximation by trigonometric polynomials in a certain class of periodic functions of several variables. Soviet Math Dokl 1:672–675. Russian original in Dokl. Akad. Nauk SSSR, 132 (1960), pp. 982–985

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solving Dynamic Portfolio Choice Models in Discrete Time Using Spatially Adaptive Sparse Grids;Lecture Notes in Computational Science and Engineering;2018

2. Multiple Penalized Principal Curves: Analysis and Computation;Journal of Mathematical Imaging and Vision;2017-04-22

3. A sparse grid based method for generative dimensionality reduction of high-dimensional data;Journal of Computational Physics;2016-03

4. Hyperspherical Sparse Approximation Techniques for High-Dimensional Discontinuity Detection;SIAM Review;2016-01

5. A Hyperspherical Adaptive Sparse-Grid Method for High-Dimensional Discontinuity Detection;SIAM Journal on Numerical Analysis;2015-01