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Earliest Arithmetics in English, The

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Fifteen Institute Lessons in Language, Arithmetic, and U.S. History

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Lecture 04: Determinant of a Matrix, by Somnath Roy

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Lecture 05: Determinant of a Matrix (Contd.), by Somnath Roy

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Lecture 06: Gauss Elimination, by Somnath Roy

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Lecture 07: Gauss Elimination (Contd.), by Somnath Roy

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Lecture 08: LU Decomposition, by Somnath Roy

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Lecture 09: Applications of Fuzzy Sets (Contd.), by Dilip Kumar Pratihar

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Lecture 09: Gauss-Jordon Method, by Somnath Roy

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Lecture 10: Representation of Physical Systems as Matrix Equations, by Somnath Roy

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Lecture 11: Tridiagonal Matrix Algorithm, by Somnath Roy

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Lecture 12: Equations with Singular Matrices, by Somnath Roy

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Lecture 15: Column Space and Nullspace of a Matrix, by Somnath Roy

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Lecture 16 : Finding Null Space of a Matrix, by Somnath Roy

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Lecture 19 : Basis and Dimension of a Vector Space, by Somnath Roy

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Lecture 20 : Four Fundamental Subspaces of a Matrix, by Somnath Roy

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Lecture 21: Left and Right Inverse of a Matrix, by Somnath Roy

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Lecture 22 : Orthogonality between the Subspaces, by Somnath Roy

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Lecture 23 : Best Estimate, by Somnath Roy

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Lecture 24 : Projection Operation and Linear Transformation, by Somnath Roy

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Lecture 25 : Creating Orthogonal Basis Vectors, by Somnath Roy

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Lecture 26: Gram-Schmidt and Modified Gram-Schmidt Algorithms, by Somnath Roy

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Lecture 27: Comparing GS and Modified GS, by Somnath Roy

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Lecture 28: Introduction to Eigenvalues and Eigenvectors, by Somnath Roy

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Lecture 29: Eigenvlues and Eigenvectors for Real Symmetric Matrix, by Somnath Roy

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Lecture 3 : Introduction to Fuzzy Sets (Contd.), by Dilip Kumar Pratihar

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Lecture 30: Positive Definiteness of a Matrix, by Somnath Roy

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Lecture 31 : Positive Definiteness of a Matrix (Contd.), by Somnath Roy

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Lecture 32 : Basic Iterative Methods: Jacobi and Gauss-Siedel, by Somnath Roy

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Lecture 33 : Basic Iterative Methods: Matrix Representation, by Somnath Roy

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