DIAGONALISASI MATRIKS UNTUK MENYELESAIKAN MODEL MANGSA-PEMANGSA

  • Elvinus R. Persulessy Jurusan Matematika FMIPA Universitas Pattimura
DOI: https://doi.org/10.30598/barekengvol1iss2pp14-17
Keywords: Discriminant Analysis, Logistic Regression, Neural Network, Multivariate Adaptive Regression Spline

Abstract

Diagonalization of a square matrix A is based on the process of finding an invertible matrix P such that , where D is diagonal matrix. Matrix P is construct of eigenvectors which corresponding to every eigenvalue of A. The purpose of diagonalization technique is to make the computing process to solve a predator-prey model more easier

Downloads

Download data is not yet available.

References

Anton, H. 1987. Aljabar Linier Elementer (Edisi Kelima). Erlangga. Jakarta.
Nicholson, W.K. 2001. Elementary Linear Algebra (1st Edition). Mc Graw-Hill Book Co. Singapore.
Anton, H & Rorres, C. 2004. Aljabar Linier Elementer (Edisi Delapan). Erlangga. Jakarta
Published
2007-12-01
How to Cite
[1]
E. Persulessy, “DIAGONALISASI MATRIKS UNTUK MENYELESAIKAN MODEL MANGSA-PEMANGSA”, BAREKENG: J. Math. & App., vol. 1, no. 2, pp. 14-17, Dec. 2007.
Issue
Vol 1 No 2 (2007): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Section
Articles

Authors who publish with this Journal agree to the following terms:

  1. Author retain copyright and grant the journal right of first publication with the work simultaneously licensed under a creative commons attribution license that allow others to share the work within an acknowledgement of the work’s authorship and initial publication of this journal.
  2. Authors are able to enter into separate, additional contractual arrangement for the non-exclusive distribution of the journal’s published version of the work (e.g. acknowledgement of its initial publication in this journal).
  3. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their websites) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.

Most read articles by the same author(s)

1 2 > >>