清空筛选条件
清空筛选条件

trying to plot 3 variables in 3d

2 次查看（过去 30 天）
joshua payne
joshua payne 2022-11-2
回答： Voss 2022-11-2
clc
clear all
theta= linspace(.01, .55) %for thetamax = 32 degrees
M=linspace(2,5)
gamma=1.4
lambda3=sqrt((((M.^2)-1).^2)-3.*(1+((gamma-1)/2).*(M.^2)).*(1+((gamma+1)/2).*(M.^2)).*(tan(theta)).^2);
chi=(1./(lambda3.^3)).*((((M.^2)-1).^3)-9.*(1+((gamma-1)./2).*(M.^2)).*(1+((gamma-1)/2).*(M.^2)+((gamma+1)./4).*(M.^4)).*((tan(theta)).^2));
beta= atan(((M.^2)-1+2.*lambda3.*cos((4.*pi+acos(chi))./3))./(3.*(1+((gamma-1)/2).*(M.^2)).*tan(theta)))
M1n=M.*sin(beta)
strength=1+((2*gamma)/(gamma+1)).*((M1n.^2) -1)
figure
surf(M, beta,strength)
im trying to 3d plot strength vs M and beta but it keeps saying strength isnt a matrix.

请先登录，再回答此问题。

采纳的回答

Davide Masiello
Davide Masiello 2022-11-2
编辑：Davide Masiello 2022-11-2
Ran in:
surf can handle only matrices, so this is what you want to do
theta= linspace(.01, .55); %for thetamax = 32 degrees
M=linspace(2,5);
gamma=1.4;
lambda3=sqrt((((M.^2)-1).^2)-3.*(1+((gamma-1)/2).*(M.^2)).*(1+((gamma+1)/2).*(M.^2)).*(tan(theta)).^2);
chi=(1./(lambda3.^3)).*((((M.^2)-1).^3)-9.*(1+((gamma-1)./2).*(M.^2)).*(1+((gamma-1)/2).*(M.^2)+((gamma+1)./4).*(M.^4)).*((tan(theta)).^2));
beta= atan(((M.^2)-1+2.*lambda3.*cos((4.*pi+acos(chi))./3))./(3.*(1+((gamma-1)/2).*(M.^2)).*tan(theta)));
[M,beta] = meshgrid(M,beta);
M1n=M.*sin(beta);
strength=1+((2*gamma)/(gamma+1)).*((M1n.^2) -1)
strength = 100×100
1.0327 1.0694 1.1065 1.1443 1.1825 1.2214 1.2607 1.3007 1.3411 1.3822 1.4237 1.4659 1.5085 1.5518 1.5956 1.6399 1.6848 1.7302 1.7762 1.8227 1.8698 1.9174 1.9656 2.0144 2.0636 2.1135 2.1639 2.2148 2.2663 2.3183 1.0154 1.0515 1.0881 1.1253 1.1630 1.2013 1.2401 1.2794 1.3193 1.3598 1.4007 1.4423 1.4843 1.5269 1.5701 1.6138 1.6580 1.7028 1.7481 1.7939 1.8403 1.8873 1.9348 1.9828 2.0314 2.0805 2.1302 2.1804 2.2311 2.2824 0.9992 1.0348 1.0709 1.1075 1.1447 1.1825 1.2208 1.2596 1.2989 1.3388 1.3792 1.4201 1.4616 1.5036 1.5462 1.5893 1.6329 1.6771 1.7218 1.7670 1.8128 1.8591 1.9059 1.9533 2.0012 2.0496 2.0986 2.1481 2.1982 2.2487 0.9840 1.0191 1.0548 1.0910 1.1277 1.1649 1.2027 1.2410 1.2798 1.3192 1.3591 1.3995 1.4404 1.4819 1.5239 1.5664 1.6095 1.6531 1.6972 1.7418 1.7870 1.8327 1.8789 1.9257 1.9730 2.0208 2.0691 2.1180 2.1674 2.2173 0.9698 1.0045 1.0397 1.0755 1.1117 1.1485 1.1858 1.2237 1.2620 1.3009 1.3403 1.3802 1.4207 1.4616 1.5031 1.5451 1.5876 1.6307 1.6742 1.7183 1.7630 1.8081 1.8537 1.8999 1.9466 1.9938 2.0416 2.0899 2.1386 2.1880 0.9566 0.9909 1.0257 1.0611 1.0969 1.1333 1.1701 1.2075 1.2454 1.2839 1.3228 1.3623 1.4022 1.4427 1.4837 1.5252 1.5673 1.6098 1.6529 1.6965 1.7406 1.7852 1.8303 1.8759 1.9221 1.9688 2.0160 2.0637 2.1119 2.1606 0.9444 0.9783 1.0127 1.0477 1.0831 1.1191 1.1556 1.1925 1.2300 1.2680 1.3065 1.3456 1.3851 1.4252 1.4657 1.5068 1.5483 1.5904 1.6330 1.6761 1.7197 1.7639 1.8085 1.8536 1.8993 1.9455 1.9921 2.0393 2.0870 2.1352 0.9330 0.9666 1.0007 1.0352 1.0703 1.1059 1.1420 1.1786 1.2157 1.2534 1.2915 1.3301 1.3692 1.4089 1.4490 1.4897 1.5308 1.5725 1.6146 1.6573 1.7004 1.7441 1.7883 1.8330 1.8782 1.9239 1.9701 2.0168 2.0640 2.1117 0.9225 0.9558 0.9895 1.0238 1.0585 1.0938 1.1295 1.1658 1.2025 1.2398 1.2776 1.3158 1.3546 1.3938 1.4336 1.4738 1.5146 1.5558 1.5976 1.6399 1.6826 1.7259 1.7696 1.8139 1.8586 1.9039 1.9497 1.9959 2.0427 2.0899 0.9128 0.9458 0.9792 1.0132 1.0476 1.0826 1.1180 1.1540 1.1904 1.2273 1.2647 1.3026 1.3411 1.3800 1.4194 1.4593 1.4997 1.5405 1.5819 1.6238 1.6662 1.7091 1.7524 1.7963 1.8407 1.8855 1.9309 1.9767 2.0230 2.0699
figure
surf(M, beta,strength)

更多回答（1 个）

Voss
Voss 2022-11-2
Ran in:
clc
clear all
theta= linspace(.01, .55); %for thetamax = 32 degrees
M=linspace(2,5);
gamma=1.4;
lambda3=sqrt((((M.^2)-1).^2)-3.*(1+((gamma-1)/2).*(M.^2)).*(1+((gamma+1)/2).*(M.^2)).*(tan(theta)).^2);
chi=(1./(lambda3.^3)).*((((M.^2)-1).^3)-9.*(1+((gamma-1)./2).*(M.^2)).*(1+((gamma-1)/2).*(M.^2)+((gamma+1)./4).*(M.^4)).*((tan(theta)).^2));
beta= atan(((M.^2)-1+2.*lambda3.*cos((4.*pi+acos(chi))./3))./(3.*(1+((gamma-1)/2).*(M.^2)).*tan(theta)));
% transpose beta to get the appropriate matrix M1n:
M1n=M.*sin(beta.')
M1n = 100×100
1.0139 1.0293 1.0447 1.0600 1.0754 1.0907 1.1061 1.1215 1.1368 1.1522 1.1676 1.1829 1.1983 1.2137 1.2290 1.2444 1.2597 1.2751 1.2905 1.3058 1.3212 1.3366 1.3519 1.3673 1.3826 1.3980 1.4134 1.4287 1.4441 1.4595 1.0066 1.0218 1.0371 1.0523 1.0676 1.0828 1.0981 1.1133 1.1286 1.1438 1.1591 1.1743 1.1896 1.2048 1.2201 1.2353 1.2506 1.2658 1.2811 1.2963 1.3116 1.3269 1.3421 1.3574 1.3726 1.3879 1.4031 1.4184 1.4336 1.4489 0.9996 1.0148 1.0299 1.0451 1.0602 1.0754 1.0905 1.1057 1.1208 1.1360 1.1511 1.1662 1.1814 1.1965 1.2117 1.2268 1.2420 1.2571 1.2723 1.2874 1.3026 1.3177 1.3329 1.3480 1.3631 1.3783 1.3934 1.4086 1.4237 1.4389 0.9931 1.0082 1.0232 1.0383 1.0533 1.0683 1.0834 1.0984 1.1135 1.1285 1.1436 1.1586 1.1737 1.1887 1.2038 1.2188 1.2339 1.2489 1.2640 1.2790 1.2941 1.3091 1.3241 1.3392 1.3542 1.3693 1.3843 1.3994 1.4144 1.4295 0.9870 1.0019 1.0169 1.0318 1.0468 1.0617 1.0767 1.0917 1.1066 1.1216 1.1365 1.1515 1.1664 1.1814 1.1963 1.2113 1.2262 1.2412 1.2562 1.2711 1.2861 1.3010 1.3160 1.3309 1.3459 1.3608 1.3758 1.3907 1.4057 1.4207 0.9812 0.9961 1.0110 1.0258 1.0407 1.0556 1.0704 1.0853 1.1002 1.1150 1.1299 1.1448 1.1596 1.1745 1.1894 1.2042 1.2191 1.2340 1.2488 1.2637 1.2786 1.2934 1.3083 1.3232 1.3380 1.3529 1.3678 1.3826 1.3975 1.4124 0.9759 0.9907 1.0054 1.0202 1.0350 1.0498 1.0646 1.0794 1.0942 1.1089 1.1237 1.1385 1.1533 1.1681 1.1829 1.1977 1.2124 1.2272 1.2420 1.2568 1.2716 1.2864 1.3012 1.3159 1.3307 1.3455 1.3603 1.3751 1.3899 1.4047 0.9709 0.9856 1.0003 1.0150 1.0297 1.0444 1.0591 1.0738 1.0885 1.1033 1.1180 1.1327 1.1474 1.1621 1.1768 1.1915 1.2062 1.2209 1.2356 1.2504 1.2651 1.2798 1.2945 1.3092 1.3239 1.3386 1.3533 1.3680 1.3827 1.3975 0.9662 0.9809 0.9955 1.0101 1.0248 1.0394 1.0541 1.0687 1.0833 1.0980 1.1126 1.1273 1.1419 1.1565 1.1712 1.1858 1.2004 1.2151 1.2297 1.2444 1.2590 1.2736 1.2883 1.3029 1.3176 1.3322 1.3468 1.3615 1.3761 1.3908 0.9619 0.9765 0.9911 1.0056 1.0202 1.0348 1.0494 1.0639 1.0785 1.0931 1.1077 1.1222 1.1368 1.1514 1.1660 1.1805 1.1951 1.2097 1.2243 1.2388 1.2534 1.2680 1.2826 1.2971 1.3117 1.3263 1.3409 1.3554 1.3700 1.3846
strength=1+((2*gamma)/(gamma+1)).*((M1n.^2) -1);
figure
surf(M, beta,strength)
xlabel('M')
ylabel('beta')
zlabel('strength')

类别

在 Help Center 和 File Exchange 中查找有关 Multirate Signal Processing 的更多信息

标签

产品


版本

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by