PROFESSIONAL

NAME :

(Dr.) SITI MAHANI BINTI MARJUGI

POST :

SENIOR LECTURER

ENTITY :

FACULTY OF SCIENCE

FIELD OF SUPERVISION

APPLIED MATHEMATICS / COMPUTATIONAL MATHEMATICS

EDUCATION

PHD
UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR
Graduated : 2014

SARJANA SAINS (MATEMATIK)
UNIVERSITI KEBANGSAAN MALAYSIA, BANGI, SELANGOR
Graduated : 2006

BACELOR SAINS (KEPUJIAN)
UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR
Graduated : 2002

JOURNAL PUBLICATION

1. Diagonal Hessian Approximation for Limited Memory Quasi-Newton via Variational Principle
Journal type: Citation-Indexed Journal - Science Citation Index (JCR)

2. Comparison of the AIM Conjugate Gradient Method Under Exact and Inexact Line Search for Solving Unconstrained Optimization Problems
Journal type: Non Citation-Indexed

3. A new modified conjugate gradient method under the strong Wolfe line search for solving unconstrained optimization problems
Journal type: Citation-Indexed - Scopus

4. A New Hybrid Three-Term LS-CD Conjugate Gradient In Solving Unconstrained Optimization Problems
Journal type: Citation-Indexed - Scopus

5. A New Hybrid Three-Term HS-DY Conjugate Gradient In Solving Unconstrained Optimization Problems
Journal type: MYCITE

6. A Three-term PRP-DL Method Modification with Application in Image Denoising Problem
Journal type: MYCITE

PUBLICATION

2025

Memoryless three-term RMIL-type conjugate gradient method for solving unconstrained optimization and image denoising problems

2024

A New Hybrid Three-Term LS-CD Conjugate Gradient In Solving Unconstrained Optimization Problems

2022

A new modified conjugate gradient method under the strong Wolfe line search for solving unconstrained optimization problems

2020

A NEW SPECTRAL PARAMETER GRADIENT VECTOR THAT SATISFIED WEAK SECANT EQUATION FOR SOLVING LARGE SCALE UNCONSTRAINED OPTIMIZATION

2013

Diagonal Hessian Approximation for Limited Memory Quasi-Newton via Variational Principle

2013

Diagonal Hessian Approximation for Limited Memory Quasi-Newton via Variational Principle

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