Bibliographic Details
| Title: |
A CONVEX QUADRATIC PROGRAMMING BASED ON A NOVEL TYPE OF PARAMETERIZED KERNEL FUNCTION. |
| Authors: |
ABDERRAHIM, GUEMMAZ, BACHIR, BOUNIBANE |
| Source: |
Gulf Journal of Mathematics; 2026, Vol. 23 Issue 1, p1-15, 15p |
| Subject Terms: |
Quadratic programming, Kernel functions, Numerical analysis, Mathematical optimization |
| Abstract: |
This study introduces primal-dual interior-point methods for convex quadratic programming, based on a novel parameterized hyperbolic kernel function. Under certain conditions and by using simple analytical approaches, along with a specific choice of a key parameter, the proposed method achieves one of the best known iteration efficiencies for large-update methods. Numerical experiments are also presented to demonstrate the practical effectiveness of the approach. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |