Virtual lab on Linear Algebra 

1. Euclidean space as a vector space.

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2. Subspace of a vector space.

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3. Linear combination and span.

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4. Linear independence, basis, dimension and co-ordinates.

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5. Linear transformations and their connection with matrices.

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6. Rank and nullity of linear transformations and matrices

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7. Linear map equation and its solution. 

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8. Solution of system of linear equations using linear map equation.

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9. Eigen values, eigen vectors and diagonalization.

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10. Application to ordinary linear differential equations and engineering problems.

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