Results 81 to 90 of about 230,316 (281)
The sufficient descent condition of nonlinear conjugate gradient method [PDF]
, 2018 Non-linear conjugate gradient methods has been widely used instrumental in solving large scale optimization. These methods has been proved that only required very low memory other than its numerical efficiency.
Basri, Sri Mazzura +2 more
core
RIPK4 function interferes with melanoma cell adhesion and metastasis
Molecular Oncology, EarlyView.RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski +9 more
wiley +1 more source
A New Hybrid Conjugate Gradient Method with Guaranteed Descent for Unconstraint Optimization
Al-Mustansiriyah Journal of Science, 2018 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
Kernel Conjugate Gradient Methods with Random Projections
, 2018 We propose and study kernel conjugate gradient methods (KCGM) with random projections for least-squares regression over a separable Hilbert space. Considering two types of random projections generated by randomized sketches and Nystr\"{o}m subsampling ...
Cevher, Volkan, Lin, Junhong
core
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
TWO MODIFIED CONJUGATE GRADIENT METHODS AND THEIR APPLICATION TO IMAGE RESTORATION PROBLEMS
Ural Mathematical JournalConjugate gradient methods have significantly contributed to the discovery of minimizes of large-scale unconstrained optimization problems. In this paper, based on the Liu--Storey conjugate gradient method, two modified conjugate gradient methods (named ...
Abd Elhamid Mehamdia +3 more
doaj +1 more source
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
Iterated Ritz and conjugate gradient methods as solvers in constrained form-finding: A comparison. [PDF]
Heliyon, 2021 Šamec E, Gidak P, Fresl K.
europepmc +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
The Adaptive $s$-Step Conjugate Gradient Method [PDF]
SIAM Journal on Matrix Analysis and Applications, 2018 On modern large-scale parallel computers, the performance of Krylov subspace iterative methods is limited by global synchronization. This has inspired the development of $s$-step Krylov subspace method variants, in which iterations are computed in blocks of $s$, which can reduce the number of global synchronizations per iteration by a factor of $O(s)$.
openaire +3 more sources