文件名称：Coding the Matrix全部课程讲义
文件大小：19.57MB
文件格式：RAR
更新时间：2016-09-23 04:04:52
矩阵分析 讲义
布朗大学Philip Klein教授授课，讲述矩阵分析的应用，用python进行编程。
【文件预览】：
slides-The_Inner_Product_01_Inner_product.pdf
slides-Gaussian_Elimination_04_Factoring_integers.pdf
slides-The_Vector_02_Vector_addition.pdf
slides-Gaussian_Elimination_02_Transforming_echelon_form.pdf
slides-The_Basis_05_Linear_dependence.pdf
slides-Orthogonalization_08_QR_factorization_matrix_equation.pdf
slides-The_Matrix_01_What_is_a_matrix.pdf
slides-The_Basis_08_Change_of_basis.pdf
slides-The_Matrix_09_Matrix_matrix_mult_function_comp.pdf
slides-The_Matrix_06_Matrices_and_functions.pdf
slides-The_Basis_03_Algorithms_finding_generators.pdf
slides-The_Inner_Product_02_Orthogonality.pdf
slides-The_Vector_06_Dot_product_vectors_GF2.pdf
slides-The_Vector_Space_04_Vector_spaces.pdf
slides-Orthogonalization_06_Two_ways_basis.pdf
slides-Dimension_03_Dimension_and_rank_II.pdf
slides-The_Vector_Space_05_Checksum_function.pdf
slides-The_Vector_07_Triangular_system.pdf
slides-Orthogonalization_01_Closest_point_in_plane.pdf
slides-Orthogonalization_05_Orthogonal_complement.pdf
slides-The_Matrix_03_Matrix_vector_mult_dot_products.pdf
slides-The_Vector_Space_03_Geometry_sets_of_vectors.pdf
slides-Orthogonalization_04_Computing_basis.pdf
slides-The_Basis_07_Unique_representation.pdf
slides-Dimension_06_Dimension_linear_functions_II.pdf
slides-The_Matrix_10_Matrix_inverse.pdf
slides-The_Basis_01_Coordinate_systems.pdf
slides-The_Field_01_Intro_complex_numbers.pdf
slides-Dimension_08_Threshold_secret_sharing.pdf
slides-Dimension_05_Dimension_linear_functions_I.pdf
slides-The_Matrix_07_Linear_functions.pdf
slides-The_Vector_05_Dot_product.pdf
slides-The_Basis_11_Exchange_Lemma.pdf
slides-Gaussian_Elimination_03_Solve_system_equations.pdf
slides-The_Matrix_04_Null_space.pdf
slides-The_Matrix_08_Matrix_matrix_mult.pdf
slides-The_Basis_06_Basis.pdf
slides-The_Matrix_05_Error_correcting_codes.pdf
slides-The_Basis_10_Perspective_rectification.pdf
slides-Orthogonalization_02_Projection_orthogonal.pdf
slides-Gaussian_Elimination_01_Echelon_form.pdf
slides-The_Basis_04_Minimum_spanning_forest.pdf
slides-Dimension_01_Size_of_basis.pdf
slides-Orthogonalization_09_Application_least_squares.pdf
slides-The_Vector_Space_01_Linear_combinations.pdf
slides-Orthogonalization_03_Building_generators.pdf
slides-The_Matrix_02_Matrix_vector_and_vector_matrix_mult.pdf
slides-Dimension_02_Dimension_and_rank_I.pdf
slides-The_Field_02_Playing_with_C.pdf
slides-The_Vector_Space_02_Span.pdf
slides-The_Basis_02_Lossy_compression.pdf
slides-The_Basis_09_Perspective_rendering.pdf
slides-Dimension_04_Direct_sum.pdf
slides-The_Field_03_Playing_with_GF2.pdf
slides-The_Function_v2.pdf
slides-Dimension_07_Dual_representation.pdf
slides-Orthogonalization_07_QR_factorization.pdf
slides-The_Vector_03_Dictionary_based_representations.pdf
slides-The_Vector_01_What_is_a_vector.pdf
slides-The_Vector_04_Vectors_over_GF2.pdf