Reply to the comments

T. K. Sarkar; X. Yang

doi:10.1016/0165-1684(90)90080-I

Reply to the comments

T. K. Sarkar, X. Yang

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

The author is wrong-in assuming that the algorithm in [5] are the same algorithms that were published earlier in [2]. The algorithm in [2] is the conjugate gradient a la "Fletcher Reeves" whereas the algorithm in [5] is a modified version of the algorithm proposed by Towsend and Johnson [6]. To an interested reader, there are many papers in the mathematical literature which elaborate on the different versions of the conjugate gradient algorithm for nonlinear optimization problems. In [6], the difference between the Fletcher algorithm [2] and the algorithm used in [5] is outlined.

Original language	English (US)
Pages (from-to)	93-94
Number of pages	2
Journal	Signal Processing
Volume	20
Issue number	1
DOIs	https://doi.org/10.1016/0165-1684(90)90080-I
State	Published - May 1990

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/0165-1684(90)90080-I

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year = "1990",

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AB - The author is wrong-in assuming that the algorithm in [5] are the same algorithms that were published earlier in [2]. The algorithm in [2] is the conjugate gradient a la "Fletcher Reeves" whereas the algorithm in [5] is a modified version of the algorithm proposed by Towsend and Johnson [6]. To an interested reader, there are many papers in the mathematical literature which elaborate on the different versions of the conjugate gradient algorithm for nonlinear optimization problems. In [6], the difference between the Fletcher algorithm [2] and the algorithm used in [5] is outlined.

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Reply to the comments

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