Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs B) to give a convenient infix syntax A B for Kronecker products (kron), then [A,B] . [C,D] will compute [AC, BD] with no addi�onal coding. Combining dot operators with numeric literals can be ambiguous "vectorized" fashion to arrays and other collec�ons with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 12.6 Operator Precedence and Associa�vity Julia applies

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs B) to give a convenient infix syntax A B for Kronecker products (kron), then [A,B] . [C,D] will compute [AC, BD] with no addi�onal coding. Combining dot operators with numeric literals can be ambiguous "vectorized" fashion to arrays and other collec�ons with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 13.6 Operator Precedence and Associa�vity Julia applies

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs B) to give a convenient infix syntax A B for Kronecker products (kron), then [A,B] . [C,D] will compute [AC, BD] with no addi�onal coding. Combining dot operators with numeric literals can be ambiguous "vectorized" fashion to arrays and other collec�ons with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 12.6 Operator Precedence and Associa�vity Julia applies

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs B) to give a convenient infix syntax A B for Kronecker products (kron), then [A,B] . [C,D] will compute [AC, BD] with no addi�onal coding. Combining dot operators with numeric literals can be ambiguous "vectorized" fashion to arrays and other collec�ons with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 12.6 Operator Precedence and Associa�vity Julia applies

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding.CHAPTER 5. MATHEMATICAL OPERATIONS AND ELEMENTARY FUNCTIONS "vectorized" fashion to arrays and other collections with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 5.7 Operator Precedence and Associativity Julia applies

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding.CHAPTER 5. MATHEMATICAL OPERATIONS AND ELEMENTARY FUNCTIONS "vectorized" fashion to arrays and other collections with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 5.7 Operator Precedence and Associativity Julia applies

DomainError for certain seemingly-sensible operations? . . . . . . . . . 417 How can I constrain or compute type parameters? . . . . . . . . . . . . . . . . . . . . . . . . 417 Why does Julia use native machine Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding. Combining dot operators with numeric literals can be ambiguous

DomainError for certain seemingly-sensible operations? . . . . . . . . . 419 How can I constrain or compute type parameters? . . . . . . . . . . . . . . . . . . . . . . . . 419 Why does Julia use native machine Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding. Combining dot operators with numeric literals can be ambiguous

DomainError for certain seemingly-sensible operations? . . . . . . . . . 417 How can I constrain or compute type parameters? . . . . . . . . . . . . . . . . . . . . . . . . 417 Why does Julia use native machine Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding. Combining dot operators with numeric literals can be ambiguous

Moreover, like all vectorized "dot calls," these "dot operators" are fusing. For example, if you compute 2 .* A.^2 .+ sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs to give a convenient infix syntax A ⊗ B for Kronecker products (kron), then [A,B] .⊗ [C,D] will compute [A⊗C, B⊗D] with no additional coding. Combining dot operators with numeric literals can be ambiguous "vectorized" fashion to arrays and other collections with the dot syntax f.(A), e.g. sin.(A) will compute the sine of each element of an array A. 5.7 Operator Precedence and Associativity Julia applies