Review and improvement of the finite moment problem

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Background: This paper reviews the Particle Size Distribution (PSD) problem in detail. Mathematically, the problem faced while recovering a function from a finite number of its geometric moments has been discussed with the help of the Spline Theory. Undoubtedly, the splines play a major role in the theory of interpolation and approximation in many fields of pure and applied sciences. B-Splines form a practical basis for the piecewise polynomials of the desired degree. A high degree of accuracy has been obtained in recovering a function within the first ten to fifteen geometric moments. The proposed approximation formula has been tested on several types of synthetic functions. This work highlights some advantages, such as the use of a practical basis for the approximating space, the exactness of computing the moments of these basis functions and the reduction of the size along with an appropriate transformation of the resulting linear system for stability. Objective: The aim is to recover a function from a finite number of its geometric moments. Methods: The main tool is the Spline Theory. Undoubtedly, the role of splines in the theory of interpolation and approximation in many fields of pure and applied sciences has been well-established. B-Splines form a practical basis for the piecewise polynomials of the desired degree. Results: A high degree of accuracy has been obtained in recovering a function within the first ten to fifteen geometric moments. The proposed approximation formula is tested on several types of synthetic functions. Conclusion: This work highlights some advantages, such as the use of a practical basis for the approximating space, the exactness of computing the moments of these basis functions and the reduction of the size along with the data transformation of the resulting linear system for stability.

Original languageBritish English
Pages (from-to)17-24
Number of pages8
JournalOpen Chemical Engineering Journal
Volume14
DOIs
StatePublished - 2020

Keywords

  • Kernel Density Function-Based Method (KDF)
  • Moments
  • Orthogonal Polynomials
  • Particle Size Distribution
  • PSD reconstruction
  • Reconstruction of a function
  • Splines

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