The Less Is More Linear Algebra of Vector Spaces and Matrices Leslie A. Pal and Howard Thurman

and Howard Thurman

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The Less Is More Linear Algebra of Vector Spaces and Matrices Leslie A. Pal and Howard ThurmanDesigned for a proof based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD) arguably the most enlightening and useful of all matrix factorizations. Gaussian elimination is then introduced after the SVD and the four fundamental subspaces and is