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Jigen Peng

4 papers hereh-index 7568 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.FA2
  • math.NA1
  • stat.CO1
same name
  • Jigen Peng — 50 papers, h 29
  • Jigen Peng — 5 papers, h 1
  • Jigen Peng — 4 papers, h 3
  • Jigen Peng — 2 papers, h 4
  • Jigen Peng — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132016
most citedA weighted L1-minimization approach for sparse polynomial chaos expansions

191 citations · 266 across the 4 of their papers we have counts for

collaborators

4 papers

math.FA2016

Perturbations of Admissibility, Exact Controllability, Exact Observability and Regularity

Zhan-Dong Mei, Ji-Gen Peng

This paper is concerned with the notions of admissibility, exact controllability, exact observability and regularity of linear systems in the Banach space setting. It is proved tha…

stat.CO2015★ 75 cited

On Polynomial Chaos Expansion via Gradient-enhanced ℓ1​-minimization

Ji Peng, Jerrad Hampton, Alireza Doostan

Gradient-enhanced Uncertainty Quantification (UQ) has received recent attention, in which the derivatives of a Quantity of Interest (QoI) with respect to the uncertain parameters a…

math.FA2015

Riemann-Liouville Fractional Cosine Functions

Zhan-Dong Mei, Ji-Gen Peng

In this paper, a new notion, named Riemann-Liouville fractional cosine function is presented. It is proved that a Riemann-Liouville α-order fractional cosine function is equivale…

math.NA2013★ 191 cited

A weighted L1-minimization approach for sparse polynomial chaos expansions

Ji Peng, Jerrad Hampton, Alireza Doostan

This work proposes a method for sparse polynomial chaos (PC) approximation of high-dimensional stochastic functions based on non-adapted random sampling. We modify the standard l1…

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