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  2. Square root of a 2 by 2 matrix - Wikipedia

    en.wikipedia.org/wiki/Square_root_of_a_2_by_2_matrix

    In many cases, such a matrix R can be obtained by an explicit formula. Square roots that are not the all-zeros matrix come in pairs: if R is a square root of M, then −R is also a square root of M, since (−R)(−R) = (−1)(−1)(RR) = R 2 = M. A 2×2 matrix with two distinct nonzero eigenvalues has four square roots.

  3. Template:Payoff matrix - Wikipedia

    en.wikipedia.org/wiki/Template:Payoff_matrix

    Template: Payoff matrix. 15 languages. ... This template allows simple construction of 2-player, 2-strategy payoff matrices in game theory and other articles.

  4. Growth–share matrix - Wikipedia

    en.wikipedia.org/wiki/Growth–share_matrix

    To use the matrix, analysts plot a scatter graph to rank the business units (or products) on the basis of their relative market shares and growth rates. This results is a chart showing: Cash cows, where a company has high market share in a slow-growing industry. These units typically generate cash in excess of the amount of cash needed to ...

  5. Priority Matrix - Wikipedia

    en.wikipedia.org/wiki/Priority_Matrix

    Priority Matrix is a time management software application based on the Eisenhower Method of arranging tasks by urgency and importance in a 2x2 matrix. The application is also loosely based on David Allen 's Getting Things Done methodology of improving productivity.

  6. List of named matrices - Wikipedia

    en.wikipedia.org/wiki/List_of_named_matrices

    An "almost" triangular matrix, for example, an upper Hessenberg matrix has zero entries below the first subdiagonal. Hollow matrix: A square matrix whose main diagonal comprises only zero elements. Integer matrix: A matrix whose entries are all integers. Logical matrix: A matrix with all entries either 0 or 1.

  7. Matrix exponential - Wikipedia

    en.wikipedia.org/wiki/Matrix_exponential

    The matrix exponential of another matrix (matrix-matrix exponential), [24] is defined as = ⁡ = ⁡ for any normal and non-singular n×n matrix X, and any complex n×n matrix Y. For matrix-matrix exponentials, there is a distinction between the left exponential Y X and the right exponential X Y , because the multiplication operator for matrix ...