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Operational matrix accounting*
Contemporary Accounting Research, 1989Abstract. This paper provides an algebraic basis of accounting transactions, procedures and bookkeeping activities in a framework that supports various financial and nonfinancial reports and accounting views. The development is based, on a set of accounting matrix operators.
YAIR M. BABAD, BALA V. BALACHANDRAN
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Journal of Applied and Industrial Mathematics, 2008
This article is devoted to the theory and applications of matrix operator equations in normed spaces. We describe in detail the general properties of matrix operators and their representing matrices. As the indexing set we take an arbitrary countable set.
M. M. Lavrent’ev +2 more
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This article is devoted to the theory and applications of matrix operator equations in normed spaces. We describe in detail the general properties of matrix operators and their representing matrices. As the indexing set we take an arbitrary countable set.
M. M. Lavrent’ev +2 more
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Communications of the ACM, 1962
It is unfortunate that almost all of the presently used algebraic languages do not provide the capability of linear algebra. Operations such as the inner product of vectors, the product of two matrices, and the multiplication of a matrix by a scaler must inevitably be written out in detail in terms of the individual components.
Galler, B. A., Perlis, A. J.
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It is unfortunate that almost all of the presently used algebraic languages do not provide the capability of linear algebra. Operations such as the inner product of vectors, the product of two matrices, and the multiplication of a matrix by a scaler must inevitably be written out in detail in terms of the individual components.
Galler, B. A., Perlis, A. J.
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2020
In this chapter we introduce matrix operations that are more advanced than those treated so far. We start by describing systems of linear equations, and then introduce the Moore–Penrose (MP) inverse, considered as one of the most important operations for statistics, as well as singular value decomposition (SVD). The MP inverse is closely related to SVD
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In this chapter we introduce matrix operations that are more advanced than those treated so far. We start by describing systems of linear equations, and then introduce the Moore–Penrose (MP) inverse, considered as one of the most important operations for statistics, as well as singular value decomposition (SVD). The MP inverse is closely related to SVD
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The Chebyshev wavelets operational matrix of integration and product operation matrix
International Journal of Computer Mathematics, 2009Operational matrices of integration and product based on Chebyshev wavelets are presented. A general procedure for forming these matrices is given. These matrices play an important role in modelling of problems. Numerical examples are given to demonstrate applicability of these matrices.
M. Tavassoli Kajani +2 more
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1976
At the end of chapter 7 we indicated that some of the tedious manipulation of arrays can be avoided in BASIC because the language has a set of powerful matrix statements. In these statements the arrays are manipulated as mathematical objects in themselves, as opposed to being manipulated element by element (which was the concern of chapter 7).
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At the end of chapter 7 we indicated that some of the tedious manipulation of arrays can be avoided in BASIC because the language has a set of powerful matrix statements. In these statements the arrays are manipulated as mathematical objects in themselves, as opposed to being manipulated element by element (which was the concern of chapter 7).
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Network Theory and Input-Output ModelingModule 1: Linear ...
Weber, Jan, Löffler-Patterson, Caspar
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Weber, Jan, Löffler-Patterson, Caspar
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1987
In this chapter a connection is established between the Fredholmness of the operator A = [A mk ] m,k=1 n in the Cartesian product E n = E × ... × E of n copies of a Banach space E and the Fredholmness of its determinant det[A mk ] in E. Conditions are given under which the indices of these two operators coincide.
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In this chapter a connection is established between the Fredholmness of the operator A = [A mk ] m,k=1 n in the Cartesian product E n = E × ... × E of n copies of a Banach space E and the Fredholmness of its determinant det[A mk ] in E. Conditions are given under which the indices of these two operators coincide.
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