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zeros(m, n) ͺ׬ mn Ac 0 x}
ones(m, n) ͺ׬ mn Ac 1 x}
eye(n) ͺ׬ nn A﨤uU 1 ALU 0 x}
pascal(m, n) ͺ׬ mn Pascal x}
vander(m, n) ͺ׬ mn Vandermonde x}
hilb(n) ͺ׬ nn Hilbert x}
rand(m, n) [0, 1] äGüƯx}A׬ mn
randn(m, n) g = 0, m= 1 WGüƯx}A׬ mn
magic(n) ͺ׬ nn ]}AUӪBCΨ﨤uM۵

Ҧp Ahilb(n) OiH nn Hilbert x}A$H_{i,j}=\frac{1}{i+j+1}$AҦpUG

Example 1: 09-x}BzPB/hilb01.mH=hilb(4) H = 1.0000 0.5000 0.3333 0.2500 0.5000 0.3333 0.2500 0.2000 0.3333 0.2500 0.2000 0.1667 0.2500 0.2000 0.1667 0.1429

t~Amagic(n) iHͤ@ nn ]}]Magic Matrix^AUӪBCΨ﨤u`M۵AҦpG

Example 2: 09-x}BzPB/magic01.mM = magic(5) fprintf('`MG'); sum(M) % M C@Ӫ`M fprintf('C`MG'); sum(M, 2) % M C@ӾC`M fprintf('﨤u`MG'); sum(diag(M)) % M 﨤u`M fprintf('Ϲ﨤u`MG'); sum(diag(fliplr(M))) % M Ϲ﨤u`M M = 17 24 1 8 15 23 5 7 14 16 4 6 13 20 22 10 12 19 21 3 11 18 25 2 9 `MG ans = 65 65 65 65 65 C`MG ans = 65 65 65 65 65 﨤u`MG ans = 65 Ϲ﨤u`MG ans = 65

rand O randn Oh`Ω󲣥ͶüƯx}AvtiΪϡ]Histogram^ ܦpUG

Example 3: 09-x}BzPB/matrix11.mx1 = rand(10000, 1); x2 = randn(10000, 1); subplot(2,1,1); hist(x1, 40); title('äG'); subplot(2,1,2); hist(x2, 40); title('G'); set(findobj(gcf, 'type', 'patch'), 'EdgeColor', 'w'); % uզ

Yͨ㦳LvGüơAiѦҤ@vЬѡAΪϥ MATLAB έpuc]Statistics Toolbox^C

LͦUشկx}O٦ compan]Companion x}^Bgallery]Higham կx}^Bhadamard]Hadamard x}^Bhankel]Hankel x}^Binvhilb]Hilb x}ϯx}^Brosser]g媺٩TȴհD^Btoeplitz]Toeplitz x}^Bwilkinson]Wilkinson Tȴկx}x}^AŪ̥iۦѽuW䴩ohC


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