Dergiler / Hacettepe Journal of Mathematics and Statistics / 2017 / Cilt: 46 - Sayı: 5

Investigating an overdetermined system of linear equations by using convex functions

Sayfa
865–874
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The research also relies on some specialproperties of unbounded convex sets, and the lower level sets of continuous functions.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The paper studies the application of convex functions in order to prove the existence of optimal solutions of an overdetermined system of linearequations.
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Temel Bulgular & Veri:The study approaches the problem by using even convex functions instead of projections.
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Sonuç & Katkı:The research also relies on some specialproperties of unbounded convex sets, and the lower level sets of continuous functions.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:overdetermined system · convex function · global minimum

Abstract

The paper studies the application of convex functions in order to prove the existence of optimal solutions of an overdetermined system of linearequations. The study approaches the problem by using even convex functions instead of projections. The research also relies on some specialproperties of unbounded convex sets, and the lower level sets of continuous functions.

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Bu Makaleye Atıf Yap

PAVIC, Z., NOVOSELAC, V. (2022). Investigating an overdetermined system of linear equations by using convex functions. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 5, 865–874. https://ajindex.com/articles/529938

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Kaynakça (9)

  1. P. Bloom eld, W. Steiger, Least Absolute Deviations: Theory, Applications and Algorithms, Birkhauser Basel, 1983.
  2. M. Fiedler, J. Nedoma, J. Ramik, J. Rohn, K. Zimmermann, Linear Optimization Problems with Inexact Data, Springer-Verlag US, 2006.
  3. B. Grünbaum, Convex Polytopes (Second Edition), Springer-Verlag, New York, 2003.
  4. C. P. Niculescu, L. E. Persson, Convex Functions and Their Applications, Springer Science+ Business Media New York, 2006.
  5. M. R. Osborne, Finite Algorithms in Optimization and Data Analysis, John Wiley & Sons New York, 1985.
  6. R. W. Owens, V. P. Sreedharan, Algorithms for solving overdetermined systems of linear equations in the lp-metric, 0 Z. Pavi¢, Extension of Jensen's inequality to a ne combinations, J. Inequal. Appl., 2014 (2014), Article ID 298. Z. Pavi¢, Improvements of the Hermite-Hadamard inequality, J. Inequal. Appl., 2015 (2015), Article ID 222. A. W. Roberts, D. E. Varberg, Convex Functions, Academic Press New York and London, 1973.
  7. J. A. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999.
  8. C. Udrişte, Convex Functions and Optimization Methods on Riemannian Manifolds, Kluwer Academic Publishers, Dordrecht, 1994.
  9. G. Williams, Overdetermined systems of linear equations, Amer. Math. Monthly, 97 (1990), 511-513.