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  • https://math.libretexts.org/Bookshelves/Linear_Algebra/Matrix_Analysis_(Cox)/04%3A_Least_Squares/4.01%3A_Least_Squares
    We learned in the previous chapter that Ax=b need not possess a solution when the number of rows of A exceeds its rank, i.e., r<m. As this situation arises quite often in practice, typically in t...We learned in the previous chapter that Ax=b need not possess a solution when the number of rows of A exceeds its rank, i.e., r<m. As this situation arises quite often in practice, typically in the guise of 'more equations than unknowns,' we establish a rationale for the absurdity Ax=b.
  • https://math.libretexts.org/Bookshelves/Applied_Mathematics/Numerical_Methods_(Chasnov)/04%3A_Least-Squares_Approximation/4.02%3A_Fitting_to_a_Linear_Combination_of_Functions
    We can write ρ=yiyi2yi Aikck+ci ATik Aklcl Taking the partial derivative, we have \[\frac{\partial \rho}{\partial ...We can write ρ=yiyi2yi Aikck+ci ATik Aklcl Taking the partial derivative, we have ρcj=2yi Aikckcj+cicj ATik Aklcl+ci ATik Aklclcj Now, \[\frac{\partial c_{i}}{\partial c_{j}}= …

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