菜鸟matlab问题

做三维网格图时的网格一边的范围，-3到3，每格距离0.125 meshgrid Cartesian grid in 2-D/3-D space [X,Y] = meshgrid(xgv,ygv) replicates the grid vectors xgv and ygv to produce the coordinates of a rectangular grid (X, Y). The grid vector xgv is replicated numel(ygv) times to form the columns of X. The grid vector ygv is replicated numel(xgv) times to form the rows of Y. [X,Y,Z] = meshgrid(xgv,ygv,zgv) replicates the grid vectors xgv, ygv, zgv to produce the coordinates of a 3D rectangular grid (X, Y, Z). The grid vectors xgv,ygv,zgv form the columns of X, rows of Y, and pages of Z respectively. (X,Y,Z) are of size numel(ygv)-by-numel(xgv)-by(numel(zgv). [X,Y] = meshgrid(gv) is equivalent to [X,Y] = meshgrid(gv,gv). [X,Y,Z] = meshgrid(gv) is equivalent to [X,Y,Z] = meshgrid(gv,gv,gv). The coordinate arrays are typically used for the evaluation of functions of two or three variables and for surface and volumetric plots. meshgrid and NDGRID are similar, though meshgrid is restricted to 2-D and 3-D while NDGRID supports 1-D to N-D. In 2-D and 3-D the coordinates output by each function are the same, the difference is the shape of the output arrays. For grid vectors xgv, ygv and zgv of length M, N and P respectively, NDGRID(xgv, ygv) will output arrays of size M-by-N while meshgrid(xgv, ygv) outputs arrays of size N-by-M. Similarly, NDGRID(xgv, ygv, zgv) will output arrays of size M-by-N-by-P while meshgrid(xgv, ygv, zgv) outputs arrays of size N-by-M-by-P. Example: Evaluate the function x*exp(-x^2-y^2) over the range -2 < x < 2, -4 < y < 4, [X,Y] = meshgrid(-2:.2:2, -4:.4:4); Z = X .* exp(-X.^2 - Y.^2); surf(X,Y,Z) 这里如果x，y相同，可以简写成一个

多谢！ 【 在 jellyray 的大作中提到: 】 : 做三维网格图时的网格一边的范围，-3到3，每格距离0.125 : meshgrid Cartesian grid in 2-D/3-D space : [X,Y] = meshgrid(xgv,ygv) replicates the grid vectors xgv and ygv to : ...................

1楼解答已经很充分了