Results 81 to 90 of about 845,583 (297)
Estimating the unemployment rate using least square and conjugate gradient methods
, 2018 Unemployment rate is one of the major issues among Malaysian citizens. The unemployment rate indicates the percentage of the total workforce who are actively seeking employment and currently unemployed.
Nur Hamizah Abdul Ghani +6 more
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Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
FEBS Letters, EarlyView.Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
An Adaptive MultiPreconditioned Conjugate Gradient Algorithm [PDF]
SIAM Journal on Scientific Computing, 2016 Summary: This article introduces and analyzes a new adaptive algorithm for solving symmetric positive definite linear systems in cases where several preconditioners are available or the usual preconditioner is a sum of contributions. A new theoretical result allows us to select, at each iteration, whether a classical preconditioned conjugate gradient ...
openaire +2 more sources
, 2008 Sparse signal approximations have become a fundamental tool in signal processing with wide ranging applications from source separation to signal acquisition.
Blumensath, T. +2 more
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Development of a Spectral Conjugate Gradient Method for Solving Optimization Problems
Al-Rafidain Journal of Computer Sciences and MathematicsConjugate gradient methods have been favored to use for their efficiency in solving large-scale unconstrained optimization problems, primarily because of their low memory requirements and exclusive to use the first-order derivative information.
Kamal Jameel Murad, Salah Gazi Shareef
doaj +1 more source
Nonlinear conjugate gradient methods in micromagnetics
AIP Advances, 2017 Conjugate gradient methods for energy minimization in micromagnetics are compared. The comparison of analytic results with numerical simulation shows that standard conjugate gradient method may fail to produce correct results. A method that restricts the
J. Fischbacher +11 more
doaj +1 more source
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Molecular Oncology, EarlyView.Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods
Kurdistan Journal of Applied ResearchConjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki +2 more
doaj +1 more source
Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method
, 2018 Venue: Avillion Legacy MelakaNonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficiency for solving a large scale unconstrained optimization problems.
Shazlyn Milleana Shaharuddin. +4 more
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