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A HIGHER ORDER ITERATIVE ALGORITHM FOR MULTIVARIATE OPTIMIZATION PROBLEM
A HIGHER ORDER ITERATIVE ALGORITHM FOR MULTIVARIATE OPTIMIZATION PROBLEM
Journal of applied mathematics & informatics. 2014. Sep, 32(5_6): 747-760
  • Received : February 22, 2014
  • Published : September 30, 2014
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Chakraborty Suvra Kanti
Panda Geetanjali

Abstract
In this paper a higher order iterative algorithm is developed for an unconstrained multivariate optimization problem. Taylor expansion of matrix valued function is used to prove the cubic order convergence of the proposed algorithm. The methodology is supported with numerical and graphical illustration.
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