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The Ansoff matrix is a strategic planning tool that provides a framework to help executives, senior managers, and marketers devise strategies for future business growth. [1] It is named after Russian American Igor Ansoff , an applied mathematician and business manager, who created the concept.
Market penetration is the key for a business growth strategy stemming from the Ansoff Matrix (Richardson, M., & Evans, C. (2007). H. Igor Ansoff first devised and published the Ansoff Matrix in the Harvard Business Review in 1957, within an article titled "Strategies for Diversification". The grid/matrix is utilized across businesses to help ...
Ansoff pointed out that a diversification strategy stands apart from the other three strategies. Whereas, the first three strategies are usually pursued with the same technical, financial, and merchandising resources used for the original product line, the diversification usually requires a company to acquire new skills and knowledge in product development as well as new insights into market ...
Modified Richardson iteration is an iterative method for solving a system of linear equations. Richardson iteration was proposed by Lewis Fry Richardson in his work dated 1910. It is similar to the Jacobi and Gauss–Seidel method. We seek the solution to a set of linear equations, expressed in matrix terms as =.
In mathematics, preconditioning is the application of a transformation, called the preconditioner, that conditions a given problem into a form that is more suitable for numerical solving methods. Preconditioning is typically related to reducing a condition number of the problem.
In numerical linear algebra, the Arnoldi iteration is an eigenvalue algorithm and an important example of an iterative method.Arnoldi finds an approximation to the eigenvalues and eigenvectors of general (possibly non-Hermitian) matrices by constructing an orthonormal basis of the Krylov subspace, which makes it particularly useful when dealing with large sparse matrices.
In computational mechanics, Guyan reduction, [1] also known as static condensation, is a dimensionality reduction method which reduces the number of degrees of freedom by ignoring the inertial terms of the equilibrium equations and expressing the unloaded degrees of freedom in terms of the loaded degrees of freedom.
In computer science, Cannon's algorithm is a distributed algorithm for matrix multiplication for two-dimensional meshes first described in 1969 by Lynn Elliot Cannon. [1] [2]It is especially suitable for computers laid out in an N × N mesh. [3]