Ac_ldiv_Bc
Ac_ldiv_Bc(A, B)
For matrices or vectors $A$ and $B$, calculates $Aá´´$ \ $Bá´´$
Examples

Calculate the conjugate transpose of matrices or vectors:
julia> A = [1 2; 3 4]; julia> B = [5 6; 7 8]; julia> Ac_ldiv_Bc(A, B) 2×2 Array{Complex{Int64},2}: 19+0im 23+0im 43+0im 53+0im
This example calculates the conjugate transpose of matrix A and matrix B.

Perform complex matrix multiplication:
julia> C = [1+2im 3+4im; 5+6im 7+8im]; julia> D = [9+10im 11+12im; 13+14im 15+16im]; julia> Ac_ldiv_Bc(C, D) 2×2 Array{Complex{Int64},2}: 42+0im 50+0im 90+0im 114+0im
It performs complex matrix multiplication by taking the conjugate transpose of matrix C and matrix D.
 Calculate the inner product of complex vectors:
julia> x = [1+2im, 3+4im, 5+6im]; julia> y = [7+8im, 9+10im, 11+12im]; julia> Ac_ldiv_Bc(x, y) Complex{Int64}: 150+0im
This example calculates the inner product of complex vectors x and y by taking their conjugate transposes.
Common mistake example:
julia> A = [1 2; 3 4];
julia> B = [5 6 7; 8 9 10];
julia> Ac_ldiv_Bc(A, B)
ERROR: DimensionMismatch("A has dimensions (2, 2) but B has dimensions (2, 3)")
In this example, the matrices A and B have incompatible dimensions for matrix multiplication. It's important to ensure that the number of columns in A matches the number of rows in B to perform matrix multiplication using Ac_ldiv_Bc
.
See Also
Ac_ldiv_B, Ac_ldiv_Bc, Ac_mul_B, Ac_mul_Bc, Ac_rdiv_B, Ac_rdiv_Bc, At_ldiv_B, At_ldiv_Bt, At_mul_B, At_mul_Bt, At_rdiv_B, At_rdiv_Bt, A_ldiv_Bc, A_ldiv_Bt, A_mul_B!, A_mul_Bc, A_mul_Bt, A_rdiv_Bc, A_rdiv_Bt, Bidiagonal, cond, conv2, det, diag, diagind, diagm, diff, eig, eigvals, eigvecs, expm, eye, full, inv, isdiag, ishermitian, isposdef, isposdef!, issym, istril, istriu, logabsdet, logdet, lyap, norm, qrfact, rank, repmat, rot180, rotl90, rotr90, sortrows, sqrtm, SymTridiagonal, trace, Tridiagonal, tril, tril!, triu, triu!, writedlm,User Contributed Notes
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