S
Susan Ghaderi
Researcher at University of Luxembourg
Publications - 8
Citations - 903
Susan Ghaderi is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Rate of convergence & Trust region. The author has an hindex of 6, co-authored 8 publications receiving 582 citations. Previous affiliations of Susan Ghaderi include Razi University.
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Journal ArticleDOI
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Laurent Heirendt,Sylvain Arreckx,Thomas Pfau,Sebastián N. Mendoza,Anne Richelle,Almut Heinken,Hulda S. Haraldsdóttir,Jacek Wachowiak,Sarah M. Keating,Vanja Vlasov,Stefania Magnusdottir,Chiam Yu Ng,German Preciat,Alise Žagare,Siu Hung Joshua Chan,Maike K. Aurich,Catherine M. Clancy,Jennifer Modamio,John T. Sauls,Alberto Noronha,Aarash Bordbar,Benjamin Cousins,Diana C. El Assal,Luis Vitores Valcárcel,Iñigo Apaolaza,Susan Ghaderi,Masoud Ahookhosh,Marouen Ben Guebila,Andrejs Kostromins,Nicolas Sompairac,Hoai M. Le,Ding Ma,Yuekai Sun,Lin Wang,James T. Yurkovich,Miguel A.P. Oliveira,Phan Tu Vuong,Lemmer P. El Assal,Inna Kuperstein,Andrei Zinovyev,H. Scott Hinton,William A. Bryant,Francisco J. Aragón Artacho,Francisco J. Planes,Egils Stalidzans,Alejandro Maass,Santosh Vempala,Michael Hucka,Michael A. Saunders,Costas D. Maranas,Nathan E. Lewis,Thomas Sauter,Bernhard O. Palsson,Bernhard O. Palsson,Ines Thiele,Ronan M. T. Fleming,Ronan M. T. Fleming +56 more
TL;DR: This protocol provides an overview of all new features of the COBRA Toolbox and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios.
Posted Content
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0.
Laurent Heirendt,Sylvain Arreckx,Thomas Pfau,Sebastián N. Mendoza,Anne Richelle,Almut Heinken,Hulda S. Haraldsdóttir,Jacek Wachowiak,Sarah M. Keating,Vanja Vlasov,Stefania Magnusdottir,Chiam Yu Ng,German Preciat,Alise Žagare,Siu Hung Joshua Chan,Maike K. Aurich,Catherine M. Clancy,Jennifer Modamio,John T. Sauls,Alberto Noronha,Aarash Bordbar,Benjamin Cousins,Diana C. El Assal,Luis Vitores Valcárcel,Iñigo Apaolaza,Susan Ghaderi,Masoud Ahookhosh,Marouen Ben Guebila,Andrejs Kostromins,Nicolas Sompairac,Hoai M. Le,Ding Ma,Yuekai Sun,Lin Wang,James T. Yurkovich,Miguel A.P. Oliveira,Phan Tu Vuong,Lemmer P. El Assal,Inna Kuperstein,Andrei Zinovyev,H. Scott Hinton,William A. Bryant,Francisco J. Aragón Artacho,Francisco J. Planes,Egils Stalidzans,Alejandro Maass,Santosh Vempala,Michael Hucka,Michael A. Saunders,Costas D. Maranas,Nathan E. Lewis,Thomas Sauter,Bernhard O. Palsson,Ines Thiele,Ronan M. T. Fleming +54 more
TL;DR: This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios and is an update to the COBRA Toolbox 1.0 and 2.0.
Posted Content
On efficiency of nonmonotone Armijo-type line searches
Masoud Ahookhosh,Susan Ghaderi +1 more
TL;DR: This paper proposes two novel nonmonotone terms, combine them into Armijo’s rule and establish the global convergence of sequences generated by these schemes, which are applied to a deblurring problem to recover a blurred/noisy image.
Journal ArticleDOI
On efficiency of nonmonotone Armijo-type line searches
Masoud Ahookhosh,Susan Ghaderi +1 more
TL;DR: In this paper, the authors investigated the efficiency of an Armijo-type line search equipped with some popular non-monotone terms and reported extensive numerical results and comparisons indicating the performance of the non-Monotone Armijao-style line searches using the most popular search directions.
Journal ArticleDOI
Two globally convergent nonmonotone trust-region methods for unconstrained optimization
Masoud Ahookhosh,Susan Ghaderi +1 more
TL;DR: Two new nonmonotone terms are proposed, and their combinations into the traditional trust-region framework are studied, and the global convergence to first- and second-order stationary points and local superlinear and quadratic convergence rates for both algorithms are established.