Results 81 to 90 of about 13,326,208 (288)
A New Hybrid Conjugate Gradient Method with Guaranteed Descent for Unconstraint Optimization
The conjugate gradient method an efficient technique for solving the unconstrained optimization problem. In this paper, we propose a new hybrid nonlinear conjugate gradient methods, which have the descent at every iteration and globally convergence ...
Basim A. Hassan
doaj +1 more source
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Iterated Ritz and conjugate gradient methods as solvers in constrained form-finding: A comparison. [PDF]
Šamec E, Gidak P, Fresl K.
europepmc +1 more source
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan +8 more
wiley +1 more source
Enhancing Conjugate Gradient Method Through a Novel Investigation Parameter For Unconstrained Minimization [PDF]
Conjugate gradient algorithms come in a wide range of flavors. The conjugate gradient technique primarily concentrates on the spectral parameter. It follows the standard method proposed by Hastens and Stiefel, In this study, we have devised an innovative
Abd Hassan, Hamsa Saeed
doaj +1 more source
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Some descent Dai-Liao-type conjugate gradient methods for vector optimization
Conjugate gradient methods play a crucial role in solving unconstrained optimization problems and have recently been extended to vector optimization problems (VOPs).
Jamilu Yahaya +2 more
doaj +1 more source
A scaled three-term conjugate gradient method for unconstrained optimization
Conjugate gradient methods play an important role in many fields of application due to their simplicity, low memory requirements, and global convergence properties.
Ibrahim Arzuka +2 more
doaj +1 more source

