Deskripsi Lengkap
| Bahasa : | ind |
| Sumber Pengatalogan : | LibUI ind rda |
| Tipe Konten : | text (rdacontent) |
| Tipe Media : | unmediated (rdamedia); computer (rdamedia) |
| Tipe Carrier : | volume (rdacarrier); online resource (rdacarrier) |
| Deskripsi Fisik : | ix, 62 pages : illustration ; 29 cm + appendix |
| Naskah Ringkas : | |
| Lembaga Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 3 |
- Ketersediaan
- File Digital: 1
- Ulasan
- Sampul
- Abstrak
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| S69205 | 14-19-943863739 | TERSEDIA |
| Tidak ada ulasan pada koleksi ini: 20459160 |
Abstrak
ABSTRAK
Bentuk matriks almost strictly sign regular ASSR adalah bentuk menengah antara bentuk sign regular dan strictly sign regular. Akan dilakukan dekomposisi QR terhadap bentuk ASSR dan dilakukan karakterisasi terhadap hasil dari dekomposisi tersebut. Hasil karakterisasi ini akan digunakan untuk mendapat metode penentuan matriks ASSR. Algoritma beserta hasil implementasi dari metode tersebut turut disertakan.
ABSTRACT
The QR decomposition of almost strictly sign regular ASSR matrices has been characterized by Alonso 2015 . It yields a theorem that helps to identify ASSR matrices through QR decomposition. In this paper, the algorithm for the identification is constructed based on Alonso rsquo s characterization. This paper also provides step by step explanation of the identification process, in correspondence with Alonso's characterization. Some numerical examples are presented.
Bentuk matriks almost strictly sign regular ASSR adalah bentuk menengah antara bentuk sign regular dan strictly sign regular. Akan dilakukan dekomposisi QR terhadap bentuk ASSR dan dilakukan karakterisasi terhadap hasil dari dekomposisi tersebut. Hasil karakterisasi ini akan digunakan untuk mendapat metode penentuan matriks ASSR. Algoritma beserta hasil implementasi dari metode tersebut turut disertakan.
ABSTRACT
The QR decomposition of almost strictly sign regular ASSR matrices has been characterized by Alonso 2015 . It yields a theorem that helps to identify ASSR matrices through QR decomposition. In this paper, the algorithm for the identification is constructed based on Alonso rsquo s characterization. This paper also provides step by step explanation of the identification process, in correspondence with Alonso's characterization. Some numerical examples are presented.