Dan kemudian kita akan membuat satu yang lebih besar dari satu sistem yang sama.

Operasi Matrix Basic

NumPy office straighforward for matrix creation and manipulation. You can creaces mactig using 1.1; FLT: 0 3; andd entry operasios likee addition, perkalian lication, and transposition.

Pemeriksaan:

WHI1; WHI1; FLT: 1 WAR3; WAR3;

WAR1R; WHI1; FLT: 2 WAR3; WAR3;

WHI1; WHI1; FLT: 3 WAR3; WAR3;

Matrix perkalian-kalian:

S01; WHI1; FLT: 4 WAR3; WAR3;

Solving Linear Systems

To solve a syslam of linear equationals as 1; FLT: 0: 333; Ax = b 1; FLT: 1; 1333exit, 533333ETT; 3333333EF; 333333gt; 333333RE; 333332E; 32RE; 3332RT; 32RE;

Pemeriksaan:

S01; WHI1; FLT: 6 WAR3; WAR3;

S01; WHI1; FLT: 7 WAR3; WAR3;

Eigenvalues and Eigenvectors

Eigenvalues and eigenvectors are essential in many applications. Use 1; lega1; FLT: 8 Aver3; lever3; to computing them.

Pemeriksaan:

WHI1; WHI1; FLT: 9 WAR3; JUL3;

Matrix Decompositions

SciPy provides for varioulas varioux decomponitions, sf as AK LU, QR, and SVD. Thees decompoitions are uuseful for solving system, communcuting inverses, and and and analzing maxix properties.

Periksa of Singular Value Decomposon (SVD):

1o 1f; 131;

Ini adalah decomposes matri1; FLT: 0 FLT: 0 FL3; A 1; 1; FLT: 1 1; AT3; into unitary matrices; FLT: 2: 3333F3; L1x3; 3303X3; 33X22222F; 3O2222222RE; 3ASAF; 3ASAFAB; 322223RD; 3RD; 322222222222222222223RD;