In this paper, we propose to search for the Powell Symmetric Broyden (PSB) update modification, according to the quasi-Newton’s ( Hĸ+1уĸ=sĸ ) method, regarding the unconstrained optimization problem. Therefore ( βPSB ) is the proposed new method of updating. PSB of the second order update classes, which solves the problem of unconstrained optimization, note that the update does not preserve the positive property of the inverse definite of the following Hessian matrix. In this our proposed method, guarantees of the positive property of the following Hessian matrix inverse definite are achieved by performing an update of the sk vector, (i.e.) Subtraction is made between the next gradient and the current gradient of the target function, which must be differentiable and continuous twice. After that we confirmed the existence of the update. Then the numerical results are presented and then the proposed method is compared with the original update method ƤЅΒ in light of the standard problems.

1.
Y.
Al-Bayati
,
A new family of self-scaling variable metric algorithms for unconstrained optimization
(
Journal of Education and Science
,
Mosul
,
1991
), pp.
25
54
.
2.
R. H.
Byrd
,
J.
Nocedal
and
Y. X.
Yuan
,
Global convergence of a cases of quasi-Newton methods on convex problems
(
Society for Industrial and Applied Mathematics
,
Philadelphia
,
1987
), pp.
1171
1190
.
3.
R.
Fletcher
,
Practical Methods of Optimization
(
John Wiley and Sons
,
New York
,
2013
), pp.
49
57
.
4.
S. S.
Mahmood
,
Modified BFGS Update (H-Version) Based on the Determinant Property of Inverse of Hessian Matrix for Unconstrained Optimization
(
Baghdad Science Journal
,
Baghdad
,
2020
), pp.
0994
0994
.
5.
S. S.
Mahmood
and
N. S.
Mahmood
,
Symmetric and Positive Definite Broyden Update for Unconstrained Optimization
(
Baghdad Science Journal
,
Baghdad
,
2019
), pp.
661
666
.
6.
S. S.
Mahmood
,
J. H.
Eidi
and
J. A.
Jasem
,
Positive Definiteness of Symmetric Rank 1 (H-Version) Update for Unconstrained Optimization
(
Baghdad Science Journal
,
Baghdad
,
2022
), pp.
0297
0297
.
7.
S. S.
Mahmood
,
A. I.
Mansour
and
B. T.
Abdlrazak
,
α-BFGS update for unconstrained Optimization
(
Journal of college of Education
,
Baghdad
,
2011
), pp.
439
450
.
8.
W.
Sun
and
Y. X.
Yuan
, “Quasi-Newton Methods,”
Optimization theory and methods
, edited by
P. M.
Pardalos
(
Springer Science
,
New York
,
2006
), pp.
203
301
.
9.
R.
Schoenberg
,
Optimization with the Quasi-Newton Method
(
Aptech System Inc
,
Washington
,
2001
), pp.
1
9
.
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