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2. B&Q - Wikipedia

   en.wikipedia.org/wiki/B&Q

   B&Q Limited (short for Block & Quayle after the company's two founders) is a British multinational DIY and home improvement retailing company, with headquarters in Eastleigh, England. It is a wholly owned subsidiary of Kingfisher plc .

3. LGBTQ - Wikipedia

   en.wikipedia.org/wiki/LGBTQ

   LGBTQ (also commonly seen as LGBT, [1] [2] LGBT+, [3] LGBTQ+, [4] and LGBTQIA+ [5]) is an initialism for lesbian, gay, bisexual, transgender and queer or questioning. [6] [7] It is an umbrella term, broadly referring to all sexualities, romantic orientations, and gender identities which are not heterosexual, heteroromantic, cisgender, or endosex.

4. Block matrix - Wikipedia

   en.wikipedia.org/wiki/Block_matrix

   In mathematics, a block matrix or a partitioned matrix is a matrix that is interpreted as having been broken into sections called blocks or submatrices. [1] [2]Intuitively, a matrix interpreted as a block matrix can be visualized as the original matrix with a collection of horizontal and vertical lines, which break it up, or partition it, into a collection of smaller matrices.

5. Logical equivalence - Wikipedia

   en.wikipedia.org/wiki/Logical_equivalence

   Logical equivalence is different from material equivalence. Formulas and are logically equivalent if and only if the statement of their material equivalence is a tautology.

6. QR decomposition - Wikipedia

   en.wikipedia.org/wiki/QR_decomposition

   More generally, we can factor a complex m×n matrix A, with m ≥ n, as the product of an m×m unitary matrix Q and an m×n upper triangular matrix R.As the bottom (m−n) rows of an m×n upper triangular matrix consist entirely of zeroes, it is often useful to partition R, or both R and Q:

7. Orthogonal matrix - Wikipedia

   en.wikipedia.org/wiki/Orthogonal_matrix

   Visual understanding of multiplication by the transpose of a matrix. If A is an orthogonal matrix and B is its transpose, the ij-th element of the product AA T will vanish if i≠j, because the i-th row of A is orthogonal to the j-th row of A.