William Cluett

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MAT188H1 Lecture 8: MAT188 notes Sept. 25

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This course covers systems of linear equations and Gaussian elimination, applications; vectors in Rn, independent sets and spanning sets; linear transformations, matrices, inverses; subspaces in Rn, basis and dimension; determinants; eigenvalues and diagonalization; systems of differential equations; dot products and orthogonal sets in Rn; projections and the Gram-Schmidt process; diagonalizing symmetric matrices; least squares approximation. †Includes an introduction to numeric computation in a weekly laboratory.

Linear Algebra

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