ARAMA SONUÇLARI

Toplam 9 adet sonuçtan 9 tanesi görüntülenmektedir.

Hybrid Algorithms for Rank of Sparse Matrices

SIAM Int. Conference on Applied Linear Algebra, Williamsburg, Virginia/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2003

DURAN AHMET,SAUNDERS DAVİD,WAN ZHENDONG

Ahmet Duran Tam metin bildiri hybrid algorithmsparse matrixnumerical linear algebraGSLUSuperLUKrylov subspace methodblack box methoddirect methodsystem solverdense matrixrandom matrixiterative method

Designing a fast direct sparse matrix solver for multi-core distributed systems

Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2013

MEHMET TUNÇEL

Mustafa Serdar Çelebi Tez Yüksek Lisans Tamamlandı

Sparse matrix decomposition and low rank based techniques for anomaly detection in hyperspectral images

Fen Bilimleri Enstitüsü, Ankara Yıldırım Beyazıt Üniversitesi, 2020

FATMA KÜÇÜK

Behçet Uğur Töreyin Tez Doktora Tamamlandı

Genblas: Basic Linear Algebra Subroutines in C++ for All Fields

East Coast Computer Algebra Day, Association for Computing Machinery (ACM) SIGSAM Bulletin, Communications in Computer Algebra, New York/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 36, No. 3, 18 Mayıs 2002, s. 6-6

DURAN AHMET,SAUNDERS DAVID

Ahmet Duran Özet Bildiri Sayısal lineer cebirGenBLASBasic Linear Algebra Subroutinessymbolic computationnumerical linear algebraBLAS exact linear algebra matrix computationfinite fieldsparse matrixseyrek matrisdense matrixC++libraryLinBox

Scalability of SuperLU Solvers for Large Scale Complex Reservoir Simulations

International Conference for Mathematical Methods in Fluid Dynamics and Simulation of Giant Oil and Gas Reservoirs, Joint SPE and SIAM Conference, Technical Session: Multiscale Modeling / Applications, İstanbul Teknik Üniversitesi, İstanbul/TÜRKİYE, 3 Eylül 2012

DURAN AHMET,ÇELEBİ MUSTAFA SERDAR,TUNÇEL MEHMET

Ahmet Duran Özet Bildiri Scalabilitylarge scale reservoir simulationsnumerical linear algebrapartial differential equationssparse matrixoil reservoirdirect solverparallel computingdistributed system SuperLU solverssensitivity analysis

Rank of sparse {0, 1} matrices

East Coast Computer Algebra Day (ECCAD), Clemson, South Carolina/AMERİKA BİRLEŞİK DEVLETLERİ, 5 Nisan 2003

DURAN AHMET,SAUNDERS DAVID,WAN ZHENDONG

Ahmet Duran Özet Bildiri sparse matrixnumerical linear algebraLinBoxrank

An efficient sparse matrix-vector multiplication on CUDA-enabled graphic processing units for finite element method simulations

International Journal for Numerical Methods in Engineering, Vol. 110, No. 1, Nisan 2017, s. 57-78, ISSN: 00295981

ALTINKAYNAK ATAKAN

Atakan Altınkaynak Özgün Makale GPU Programlama

Sparse and low-rank matrix decomposition-based method for hyperspectral anomaly detection

Journal of Applied Remote Sensing, Vol. 13, No. 01, Ocak 2019, s. 1, ISSN: 1931-3195

KÜÇÜK FATMA,TÖREYİN BEHÇET UĞUR,ÇELEBİ FATİH VEHBİ

Behçet Uğur Töreyin Özgün Makale

Scalability of OpenFOAM for bio medical flow simulations

The Journal of Supercomputing, Vol. 71, No. 3, Mart 2015, s. 938-951, ISSN: 0920-8542

DURAN AHMET,ÇELEBİ M SERDAR,PİSKİN SENOL,TUNÇEL MEHMET

Ahmet Duran Özgün Makale ScalabilityOpenFOAM softwarebio-medical ﬂowNavier Stokes solverlinear system solver computational fluid dynamicssparse matrixsimulationnumerical linear algebrahigh performance computing optimal minimum number of cores

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