A_ldiv_Bt(A, B)

For matrices or vectors $A$ and $B$, calculates $A$ \ $Báµ€$


julia> A = [1 2 3; 4 5 6];
julia> B = [7 8; 9 10; 11 12];
julia> A_ldiv_Bt(A, B)
2×2 Array{Int64,2}:
 58   64
 139  154

This example calculates the matrix product of A and Bᵀ, resulting in a 2x2 matrix.

julia> x = [1, 2, 3];
julia> y = [4, 5, 6];
julia> A_ldiv_Bt(x, y)
3×3 Array{Int64,2}:
  4   5   6
  8  10  12
 12  15  18

In this example, the function is used to calculate the outer product of vectors x and y, resulting in a 3x3 matrix.

Common mistake example:

julia> A = [1 2; 3 4];
julia> B = [5 6];
julia> A_ldiv_Bt(A, B)
ERROR: DimensionMismatch("matrix A has dimensions (2,2), matrix B has dimensions (1,2)")

In this example, the dimensions of A and B are not compatible for matrix multiplication. Make sure the dimensions of the matrices or vectors are appropriate for the desired operation.

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,

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