Results 221 to 230 of about 426,444 (272)
Learning behavior aware features across spaces for improved 3D human motion prediction. [PDF]
Ji R, Lu C, Huang Z, Zhong J.
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Predictive modeling for physicochemical properties of β-lactam antibiotics through eigenvalue based topological indices and non linear regression techniques. [PDF]
Yuvaraj A +4 more
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Compacting the Time Evolution of the Forced Morse Oscillator Using Dynamical Symmetries Derived by an Algebraic Wei-Norman Approach. [PDF]
Hamilton JR, Remacle F, Levine RD.
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2005
Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics.
Abadir, K.M., Magnus, J.R.
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Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics.
Abadir, K.M., Magnus, J.R.
+5 more sources
Matrix algebra with hypermedia
Education and Information Technologies, 1996A pilot hypermedia-based course on Matrix Algebra at Tampere University of Technology (TUT) is presented. Essential features, in addition to the lecture notes, are hypertext, computer-aided exercises, connections with existing mathematical software, interactive exercises, graphics, animation and video clips.
Seppo Pohjolainen +2 more
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Algebra Universalis, 2002
The collection of all \(n\times n\) matrices with entries from a given relation algebra \(\mathcal R\) forms a relation algebra \(M_n(\mathcal R)\) with naturally defined operations. The paper contains lists of properties of \(\mathcal R\) (e.g.\ atomicity, simplicity, representability, non-embeddability, density, etc.) which are preserved also in ...
el Bachraoui, M., van de Vel, M.L.J.
openaire +2 more sources
The collection of all \(n\times n\) matrices with entries from a given relation algebra \(\mathcal R\) forms a relation algebra \(M_n(\mathcal R)\) with naturally defined operations. The paper contains lists of properties of \(\mathcal R\) (e.g.\ atomicity, simplicity, representability, non-embeddability, density, etc.) which are preserved also in ...
el Bachraoui, M., van de Vel, M.L.J.
openaire +2 more sources
2021
This chapter shows how matrix algebra can help overcome the problems in solving a set of three or more simultaneous equations and how it makes it possible to handle large sets of simultaneous linear equations. It concludes by illustrating the applications of matrix algebra.
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This chapter shows how matrix algebra can help overcome the problems in solving a set of three or more simultaneous equations and how it makes it possible to handle large sets of simultaneous linear equations. It concludes by illustrating the applications of matrix algebra.
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Matrix Isomorphism of Matrix Lie Algebras
2012 IEEE 27th Conference on Computational Complexity, 2012We study the problem of matrix isomorphism of matrix Lie algebras (MatIsoLie). Lie algebras arise centrally in areas as diverse as differential equations, particle physics, group theory, and the Mulmuley -- Sohoni Geometric Complexity Theory program. A matrix Lie algebra is a set L of matrices that is closed under linear combinations and the operation [
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1996
We will present in this chapter some aspects of matrix algebra that are needed in this book. Most results presented here can be found in standard books on matrix algebra. Proofs are provided for those results that are either easily derived or not readily available elsewhere. For readers who have no knowledge of matrix algebra, this chapter is essential
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We will present in this chapter some aspects of matrix algebra that are needed in this book. Most results presented here can be found in standard books on matrix algebra. Proofs are provided for those results that are either easily derived or not readily available elsewhere. For readers who have no knowledge of matrix algebra, this chapter is essential
+4 more sources

