ARAMA SONUÇLARI

Toplam 9 adet sonuçtan 9 tanesi görüntülenmektedir.

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Özel Aralık Girişi

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
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
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
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
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
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
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

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930