复数矩阵与实数矩阵有许多相似之处,但它们也具有独特的性质。比如,复数矩阵的共轭转置(Hermitian Transpose)是一个重要的概念。在NumPy中,我们可以通过.conj().T方法来求解复数矩阵的共轭转置。 # 计算共轭转置A_conjugate_transpose=A.conj().Tprint("矩阵A的共轭转置:\n",A_conjugate_transpose) 1. 2. 3. ...
Returns the (complex) conjugate transpose of self. getI() Returns the (multiplicative) inverse of invertible self. 1. 2. 3. 4. 5. 6. 7. 8. 从nadarray继承的函数 继承函数 函数说明 getT() Returns the transpose of the matrix. all([axis, out, keepdims]) Returns True if all elements e...
transpose(x) # [[1, 4] # [2, 5] # [3, 6]] # Equivalently tf.transpose(x, perm=[1, 0]) # [[1, 4] # [2, 5] # [3, 6]] # If x is complex, setting conjugate=True gives the conjugate transpose x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j], [4 + 4j, 5 +...
一个 CSRSparseMatrix。 typetf.DType来自:tf.float32, tf.float64, tf.complex64, tf.complex128。 transpose_a可选的bool。默认为False。指示是否应转置a。 transpose_b可选的bool。默认为False。指示是否应转置b。 adjoint_a可选的bool。默认为False。指示a是否应为conjugate-transposed。 adjoint_b可选的bool...
'conjugate','copy','ctypes','cumprod','cumsum','data','diagonal','dot','dtype','dump','dumps','fill','flags','flat','flatten','getfield','imag','item','itemset','itemsize','max','mean','min','nbytes','ndim','newbyteorder','nonzero','partition','prod','ptp','put','...
'conjugate', 'copy', 'ctypes', 'cumprod', 'cumsum', 'data', 'diagonal', 'dot', 'dtype', 'dump', 'dumps', 'fill', 'flags', 'flat', 'flatten', 'getfield', 'imag', 'item', 'itemset', 'itemsize', 'max', 'mean', 'min', 'nbytes', 'ndim', 'newbyteorder', 'nonzero...
see also:all,alltrue,any,apply along axis,argmax,argmin,argsort,average,bincount,ceil,clip,conj,conjugate,corrcoef,cov,cross,cumprod,cumsum,diff,dot,floor,inner,inv,lexsort,max,maximum,mean,median,min,minimum,nonzero,outer,prod,re,round,sometrue,sort,std,sum,trace,transpose,var,vdot,vectorize...
Complex conjugate transpose (Adjoint)A'A.conj()A' Concatenate horizontallyA = [[1 2] [1 2]]orA = horzcat([1 2], [1 2])B = np.array([1, 2]) A = np.hstack((B, B))A = [[1 2] [1 2]]orA = hcat([1 2], [1 2]) ...
# S1 = 0.5 * (S + S^H), S2 = 0.5 * (S - S^H), # where ^H is the Hermitian transpose of the function: # f(n0, n1, n2)^H := ComplexConjugate[f(N0-n0, N1-n1, N2-n2)]. # We want to isolate S1, since # S1 is Hermitian by construction # S1 is real since S is...
NumPy 数组可以通过在array对象上调用transpose方法轻松转置。实际上,由于这是一个常见的操作,数组有一个方便的属性T,它返回矩阵的转置。转置会颠倒矩阵(数组)的形状顺序,使行变为列,列变为行。例如,如果我们从一个 3×2 矩阵(3 行,2 列)开始,那么它的转置将是一个 2×3 矩阵,就像下面的例子一样: 代码语...