Y= BesselJ(0,2)是指变量为2时的，0阶的第一类贝塞尔函数！贝塞尔函数的一族，也称第一类贝塞尔函数，记作Jn（x），用x的偶次幂的无穷和来定义，数 n称为贝塞尔函数的阶，它依赖于函数所要解决的问题。J0 （x）的图形像衰减的余弦曲线，J1（x）像衰减的正弦曲线。
The intensities must be in the range [0,1], for example, [0.4 0.6 0.7]. A hexadecimal color code is a string scalar or character vector that starts with a hash symbol (#) followed by three or six hexadecimal digits, which can range from 0 to F. The values are not case sensitive...
TheYcell is avLengthorvScalarcustom token grouping that specifies the y-coordinate of a point in thecoordinate systemof ashape. It MUST have aRow_Typeparent element that has aGeometrySection_Type,ControlSection_Type,ScratchSection_Type,ActionTagSection_Type,orConnectionSection_Type parent element. ...
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The intensities must be in the range [0,1], for example, [0.4 0.6 0.7]. A hexadecimal color code is a string scalar or character vector that starts with a hash symbol (#) followed by three or six hexadecimal digits, which can range from 0 to F. The values are not case sensitive...
Functional domain, specified as a scalar, vector, matrix, or multidimensional array.besselyis real-valued whereZis positive.nuandZmust be the same size, or one of them can be scalar. Example:bessely(1,[1-1i 1+0i 1+1i]) Data Types:single|double ...
is to be referenced. Unchanged on exit. N - INTEGER. On entry, N specifies the order of the matrix A. N must be at least zero. Unchanged on exit. ALPHA - DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha. Unchanged on exit. ...
Functional domain, specified as a scalar, vector, matrix, or multidimensional array. bessely is real-valued where Z is positive. nu and Z must be the same size, or one of them can be scalar. Example: bessely(1,[1-1i 1+0i 1+1i]) Data Types: single | double Complex Number Suppor...
TheFlipYcell is avScalarcustom token grouping that specifies whether thecoordinate systemof ashapehas an inverted y-axis. It MUST have aShapeSheet_Typeparent element. The value of the structure MUST be equal to zero or one. A value of one specifies that the axis is inverted; a value of ...
(a, bins, range, weights) 443 bin_type = np.result_type(bin_type, float) 445 # bin edges must be computed --> 446 bin_edges = np.linspace( 447 first_edge, last_edge, n_equal_bins + 1, 448 endpoint=True, dtype=bin_type) 449 return bin_edges, (first_edge, last_edge, n_...