kingers Posted Monday at 10:23 AM Report Share Posted Monday at 10:23 AM 36.24 GB | 43min 8s | mp4 | 1280X720 | 16:9Genre:eLearning |Language:EnglishFiles Included :001 Introduction to the course.mp4 (157.04 MB)001 From abstract to concrete.mp4 (33.99 MB)002 From concrete to abstract.mp4 (28.67 MB)003 Our prototype.mp4 (60.43 MB)004 Formal definition of vector spaces Example 1 Rn.mp4 (198.99 MB)005 Vector spaces, Example 2 m x n matrices with real entries.mp4 (91.24 MB)006 Vector spaces, Example 3 real-valued functions on some interval.mp4 (190.45 MB)007 Vector spaces, Example 4 complex numbers.mp4 (209.96 MB)008 Cancellation property.mp4 (93.3 MB)009 Two properties of vector spaces; Definition of difference.mp4 (226.8 MB)010 Some properties of vector spaces.mp4 (231.45 MB)011 What is a subspace.mp4 (215.76 MB)012 All the subspaces in R2.mp4 (75.4 MB)013 All the subspaces in R3.mp4 (41.38 MB)014 Subspaces, Problem 1.mp4 (48.57 MB)015 Subspaces, Problem 2.mp4 (388.24 MB)016 Subspaces, Problem 3.mp4 (362.95 MB)017 Subspaces, Problem 4.mp4 (145.71 MB)001 Our unifying example.mp4 (65.11 MB)002 Linear combinations in Part 1.mp4 (71.18 MB)003 Linear combinations, new stuff Example 1.mp4 (36.64 MB)004 Linear combinations Example 2.mp4 (27.26 MB)005 Linear combinations, Problem 1.mp4 (270.28 MB)006 Linear combinations, Problem 2.mp4 (559.07 MB)007 What is a span, definition and some examples.mp4 (50.06 MB)008 Span, Problem 3.mp4 (304.38 MB)009 Span, Problem 4.mp4 (301.23 MB)010 Span, Problem 5.mp4 (33.12 MB)011 What do we mean by trivial.mp4 (55.93 MB)012 Linear independence and linear dependence.mp4 (75.49 MB)013 Geometry of linear independence and linear dependence.mp4 (65.53 MB)014 An important remark on linear independence in Rn.mp4 (70.86 MB)015 Linearly independent generators, Problem 6.mp4 (444.55 MB)016 Linear independence in the set of matrices, Problem 7.mp4 (295.95 MB)017 Linear independence in C^0[ββ, β], Problem 8.mp4 (178.26 MB)018 Vandermonde determinant and polynomials.mp4 (92.43 MB)019 Linear independence in C^β(R), Problem 9.mp4 (348.04 MB)020 Wronskian and linear independence in Cβ(R).mp4 (50.59 MB)021 Linear independence in C^β(R), Problem 10.mp4 (106.33 MB)022 Linear independence in C^β(R), Problem 11.mp4 (168.96 MB)001 What is a basis and dimension.mp4 (52.38 MB)002 Bases in the 3-space, Problem 1.mp4 (763.65 MB)003 Bases in the plane and in the 3-space.mp4 (88.82 MB)004 Bases in the 3-space, Problem 2.mp4 (107.19 MB)005 Bases in the 4-space, Problem 3.mp4 (352.79 MB)006 Bases in the 4-space, Problem 4.mp4 (548.7 MB)007 Bases in the space of polynomials, Problem 5.mp4 (88.87 MB)008 Coordinates with respect to a basis.mp4 (74.16 MB)009 Coordinates with respect to a basis are unique.mp4 (122.6 MB)010 Coordinates in our unifying example.mp4 (33.93 MB)011 Dimension of a subspace, Problem 6.mp4 (213.34 MB)012 Bases in a space of functions, Problem 7.mp4 (196.07 MB)001 Coordinates in different bases.mp4 (46.7 MB)002 It is easy to recalculate from the standard basis.mp4 (69.18 MB)003 Transition matrix, a derivation.mp4 (73.38 MB)004 Previous example with transition matrix.mp4 (31.58 MB)005 Our unifying example.mp4 (66.59 MB)006 One more simple example and bases.mp4 (24.08 MB)007 Two non-standard bases, Method 1.mp4 (49.7 MB)008 Two non-standard bases, Method 2.mp4 (84.29 MB)009 How to recalculate coordinates between two non-standard bases An algorithm.mp4 (98.4 MB)010 Change of basis, Problem 1.mp4 (645.05 MB)011 Change of basis, Problem 2.mp4 (273.03 MB)012 Change of basis, Problem 3.mp4 (455.22 MB)013 Change of basis, Problem 4.mp4 (167.72 MB)014 Change of basis, Problem 5.mp4 (239.52 MB)015 Change to an orthonormal basis in R^2.mp4 (66.6 MB)001 What you are going to learn in this section.mp4 (77.4 MB)002 Row space and column space for a matrix.mp4 (54.28 MB)003 What are the elementary row operations doing to the row spaces.mp4 (263.11 MB)004 What are the elementary row operations doing to the column spaces.mp4 (61.34 MB)005 Column space, Problem 2.mp4 (200.45 MB)006 Determining a basis for a span, Problem 3.mp4 (250.7 MB)007 Determining a basis for a span consisting of a subset of given vectors, Prob.mp4 (279.97 MB)008 Determining a basis for a span consisting of a subset of given vectors, Prob.mp4 (299.27 MB)009 A tricky one Let rows become columns, Problem 6.mp4 (212.82 MB)010 A basis in the space of polynomials, Problem 7.mp4 (328.79 MB)011 Nullspace for a matrix.mp4 (167.03 MB)012 How to find the nullspace, Problem 8.mp4 (57.16 MB)013 Nullspace, Problem 9.mp4 (355.08 MB)014 Nullspace, Problem 10.mp4 (362.32 MB)001 Rank of a matrix.mp4 (36.3 MB)002 Nullity.mp4 (23.99 MB)003 Relationship between rank and nullity.mp4 (116.36 MB)004 Relationship between rank and nullity, Problem 1.mp4 (174.42 MB)005 Relationship between rank and nullity, Problem 2.mp4 (59.69 MB)006 Relationship between rank and nullity, Problem 3.mp4 (15.01 MB)007 Orthogonal complements, Problem 4.mp4 (97.18 MB)008 Four fundamental matrix spaces.mp4 (36.39 MB)009 The Fundamental Theorem of Linear Algebra and Gilbert Strang.mp4 (73.52 MB)001 What do we mean by linear.mp4 (79.17 MB)002 Some terminology.mp4 (65.07 MB)003 How to think about functions from Rn to Rm.mp4 (71.22 MB)004 When is a function from Rn to Rm linear Approach 1.mp4 (66.36 MB)005 When is a function from Rn to Rm linear Approach 2.mp4 (247.32 MB)006 When is a function from Rn to Rm linear Approach 3.mp4 (73.96 MB)007 Approaches 2 and 3 are equivalent.mp4 (60.29 MB)008 Matrix transformations, Problem 1.mp4 (98.77 MB)009 Image, kernel, and inverse operators, Problem 2.mp4 (344.68 MB)010 Basis for the image, Problem 3.mp4 (156.13 MB)011 Kernel, Problem 4.mp4 (181.18 MB)012 Image and kernel, Problem 5.mp4 (203.94 MB)013 Inverse operators, Problem 6.mp4 (327.3 MB)014 Linear transformations, Problem 7.mp4 (196.21 MB)015 Kernel and geometry, Problem 8.mp4 (168.31 MB)016 Linear transformations, Problem 9.mp4 (193.51 MB)001 Our unifying example linear transformations and change of basis.mp4 (128.62 MB)002 An example with nontrivial kernel.mp4 (179.08 MB)003 Line symmetries in the plane.mp4 (132.59 MB)004 Projection on a given vector, Problem 1.mp4 (341.18 MB)005 Symmetry about the line y = kx, Problem 2.mp4 (188.61 MB)006 Rotation by 90 degrees about the origin.mp4 (132.27 MB)007 Rotation by the angle Ξ± about the origin.mp4 (56.91 MB)008 Expansion, compression, scaling, and shear.mp4 (77.2 MB)009 Plane symmetry in the 3-space, Problem 3.mp4 (247.89 MB)010 Projections on planes in the 3-space, Problem 4.mp4 (157.49 MB)011 Symmetry about a given plane, Problem 5.mp4 (274.02 MB)012 Projection on a given plane, Problem 6.mp4 (366.48 MB)013 Rotations in the 3-space, Problem 7.mp4 (462.86 MB)001 What kind of properties we will discuss.mp4 (33.64 MB)002 What happens with vector subspaces and affine subspaces under linear transfo.mp4 (38.54 MB)003 Parallel lines transform into parallel lines, Problem 1.mp4 (92.64 MB)004 Transformations of straight lines, Problem 2.mp4 (233.63 MB)005 Change of area (volume) under linear operators in the plane (space).mp4 (129.27 MB)006 Change of area under linear transformations, Problem 3.mp4 (55.63 MB)007 Compositions of linear transformations.mp4 (74.1 MB)008 How to obtain the standard matrix of a composition of linear transformations.mp4 (85.24 MB)009 Why does it work.mp4 (186.84 MB)010 Compositions of linear transformations, Problem 4.mp4 (291.38 MB)011 Compositions of linear transformations, Problem 5.mp4 (441.54 MB)001 Linear transformations between two linear spaces.mp4 (61.21 MB)002 Linear transformations, Problem 1.mp4 (534.67 MB)003 Linear transformations, Problem 2.mp4 (402.8 MB)004 Linear transformations, Problem 3.mp4 (592.98 MB)005 Linear transformations, Problem 4.mp4 (780.04 MB)006 Linear transformations, Problem 5.mp4 (343.92 MB)007 Linear transformations in different bases, Problem 6.mp4 (316.85 MB)008 Linear transformations in different bases.mp4 (60.87 MB)009 Linear transformations in different bases, Problem 7.mp4 (434.94 MB)010 Linear transformations in different bases, Problem 8.mp4 (294.52 MB)011 Linear transformations in different bases, Problem 9.mp4 (251.98 MB)012 Linear transformations, Problem 10.mp4 (141.26 MB)013 Linear transformations, Problem 11.mp4 (282.64 MB)001 Dot product and orthogonality until now.mp4 (91.1 MB)002 Orthonormal bases are awesome.mp4 (56.7 MB)003 Orthonormal bases are awesome, Reason 1 distance.mp4 (18.75 MB)004 Orthonormal bases are awesome, Reason 2 dot product.mp4 (20.86 MB)005 Orthonormal bases are awesome, Reason 3 transition matrix.mp4 (24.76 MB)006 Orthonormal bases are awesome, Reason 4 coordinates.mp4 (32.53 MB)007 Coordinates in ON bases, Problem 1.mp4 (471.14 MB)008 Coordinates in orthogonal bases, Theorem and proof.mp4 (50.37 MB)009 Each orthogonal set is linearly independent, Proof.mp4 (69.2 MB)010 Coordinates in orthogonal bases, Problem 2.mp4 (380.51 MB)011 Orthonormal bases, Problem 3.mp4 (143.15 MB)012 Projection Theorem 1.mp4 (162.06 MB)013 Projection Theorem 2.mp4 (311.02 MB)014 Projection Formula, an illustration in the 3-space.mp4 (40.46 MB)015 Calculating projections, Problem 4.mp4 (232.84 MB)016 Calculating projections, Problem 5.mp4 (137.6 MB)017 Gram-Schmidt Process.mp4 (70.99 MB)018 Gram-Schmidt Process, Our unifying example.mp4 (39.8 MB)019 Gram-Schmidt Process, Problem 6.mp4 (198.43 MB)020 Gram-Schmidt Process, Problem 7.mp4 (285.03 MB)001 Product of a matrix and its transposed is symmetric.mp4 (44.76 MB)002 Definition and examples of orthogonal matrices.mp4 (35.73 MB)003 Geometry of 2-by-2 orthogonal matrices.mp4 (39.96 MB)004 A 3-by-3 example.mp4 (108.51 MB)005 Useful formulas for the coming proofs.mp4 (128.39 MB)006 Property 1 Determinant of each orthogonal matrix is 1 or β1.mp4 (35.09 MB)007 Property 2 Each orthogonal matrix A is invertible and Aβ1 is also orthogona.mp4 (99.43 MB)008 Property 3 Orthonormal columns and rows.mp4 (32.89 MB)009 Property 4 Orthogonal matrices are transition matrices between ON-bases.mp4 (37.91 MB)010 Property 5 Preserving distances and angles.mp4 (366.15 MB)011 Property 6 Product of orthogonal matrices is orthogonal.mp4 (128 MB)012 Orthogonal matrices, Problem 1.mp4 (250.08 MB)013 Orthogonal matrices, Problem 2.mp4 (160.88 MB)001 Crash course in factoring polynomials.mp4 (97.21 MB)002 Eigenvalues and eigenvectors, the terms.mp4 (28.2 MB)003 Order of defining, order of computing.mp4 (13.24 MB)004 Eigenvalues and eigenvectors geometrically.mp4 (95.43 MB)005 Eigenvalues and eigenvectors, Problem 1.mp4 (91.29 MB)006 How to compute eigenvalues Characteristic polynomial.mp4 (85.44 MB)007 How to compute eigenvectors.mp4 (319.73 MB)008 Finding eigenvalues and eigenvectors short and sweet.mp4 (42.08 MB)009 Eigenvalues and eigenvectors for examples from Video 180.mp4 (522.93 MB)010 Eigenvalues and eigenvectors, Problem 3.mp4 (555.37 MB)011 Eigenvalues and eigenvectors, Problem 4.mp4 (248.22 MB)012 Eigenvalues and eigenvectors, Problem 5.mp4 (403.03 MB)013 Eigenvalues and eigenvectors, Problem 6.mp4 (603.45 MB)014 Eigenvalues and eigenvectors, Problem 7.mp4 (54.91 MB)001 Why you should love diagonal matrices.mp4 (42.45 MB)002 Similar matrices.mp4 (18.15 MB)003 Similarity of matrices is an equivalence relation (RST).mp4 (80.55 MB)004 Shared properties of similar matrices.mp4 (40.91 MB)005 Diagonalizable matrices.mp4 (24.58 MB)006 How to diagonalize a matrix, a recipe.mp4 (71.02 MB)007 Diagonalize our favourite matrix.mp4 (36.48 MB)008 Eigenspaces; geometric and algebraic multiplicity of eigenvalues.mp4 (103.73 MB)009 Eigenspaces, Problem 2.mp4 (584.94 MB)010 Eigenvectors corresponding to different eigenvalues are linearly independent.mp4 (458.94 MB)011 A sufficient, but not necessary, condition for diagonalizability.mp4 (22.33 MB)012 Necessary and sufficient condition for diagonalizability.mp4 (54.73 MB)013 Diagonalizability, Problem 3.mp4 (257.66 MB)014 Diagonalizability, Problem 4.mp4 (63.66 MB)015 Diagonalizability, Problem 5.mp4 (90.01 MB)016 Diagonalizability, Problem 6.mp4 (58.77 MB)017 Diagonalizability, Problem 7.mp4 (250.49 MB)018 Powers of matrices.mp4 (25.55 MB)019 Powers of matrices, Problem 8.mp4 (164.97 MB)020 Diagonalization, Problem 9.mp4 (120.7 MB)021 Sneak peek into the next course; orthogonal diagonalization.mp4 (29.44 MB)001 Linear Algebra and Geometry 2, Wrap-up.mp4 (53.61 MB)002 Yes, there will be Part 3!.mp4 (23.7 MB)003 Final words.mp4 (14.86 MB)]ScreenshotRapidGatorhttps://rapidgator.net/file/2cc5eec582bd1a204370fe6b4cd75f3a/https://rapidgator.net/file/7e41d40ac9b61b5da76d6d90e8587fa6/https://rapidgator.net/file/0fc6216c55d84cce2f8480dea1775d90/https://rapidgator.net/file/b28e27328aeff10097041e9963e6698c/https://rapidgator.net/file/85da1a456ecb0c37d0ee7cd2df2c2dfd/https://rapidgator.net/file/7720da47b954d16c525207d0c57a9dd4/https://rapidgator.net/file/285d9fccf587b86f15e8baa8446e9c13/https://rapidgator.net/file/0b334b0da795530d23eff50a61dc7e62/https://rapidgator.net/file/f414712cffb3a78d3348ba265cf7b226/https://rapidgator.net/file/51a3898b99033b6ad87c4caa5b34569e/https://rapidgator.net/file/f014433882146c4ac54648142fbf759d/https://rapidgator.net/file/96451d6775a93bdbcdd9a30ffa8fc823/https://rapidgator.net/file/b215948efd1939031f30c966009616ac/https://rapidgator.net/file/1817a763e2cb1deaac1f364561403780/https://rapidgator.net/file/66eb8701ad20c8058a3358bdb8760068/https://rapidgator.net/file/5a1c88ca9f1d30b7b74672c1295276d1/https://rapidgator.net/file/1ca76d95a72bbbc36ab4001b1d73a28d/https://rapidgator.net/file/30e17043a5ee2bff6110207e3c0a8cd7/https://rapidgator.net/file/49c090e44cfedc0db71bbad075531fd2/https://rapidgator.net/file/a69e3a40718dc5b14219820889539fbb/https://rapidgator.net/file/0d8fe0b62a01d3b035943f1f43a85e20/https://rapidgator.net/file/60d6bf3cb93b8998d2c9d60a7e1bce69/https://rapidgator.net/file/699ea8695d916f93d6d8b48c664ef5a5/https://rapidgator.net/file/741850ced3a46971d230ff420bc5a477/https://rapidgator.net/file/a85aa6a145bc1cb52437d35f5e1d7063/https://rapidgator.net/file/946786cc80aa95f9b3be8fa072e468b1/https://rapidgator.net/file/f91401fce279c4468d088639df79dd19/https://rapidgator.net/file/4b36039b157e69832fac4dccd2da5462/https://rapidgator.net/file/5243f51a9284a8cd7d863bafe04db181/https://rapidgator.net/file/1df2cf86fab8966c3baa5dfbf9836a0f/https://rapidgator.net/file/58f5656ad4f94980d3f978c27fe9f265/https://rapidgator.net/file/9a02de2eafb758b8309e583283573126/https://rapidgator.net/file/6e3ba9d74fb279fdedd4999076e9e7a7/NitroFlarehttps://nitroflare.com/view/410AAA2A5BB4C4F/https://nitroflare.com/view/7DAF4211E24FCD4/https://nitroflare.com/view/8FF13170E2723F8/https://nitroflare.com/view/4695E1CC8DA305F/https://nitroflare.com/view/9CCF5A005FAAA35/https://nitroflare.com/view/EE8E3CA018A3904/https://nitroflare.com/view/2585BB4707E6ED8/https://nitroflare.com/view/7241A704A3066FE/https://nitroflare.com/view/D9BBED2C1CD08D5/https://nitroflare.com/view/AC2FFAC60B03D02/https://nitroflare.com/view/C8DD972865B6D95/https://nitroflare.com/view/812F2E45CCD70E5/https://nitroflare.com/view/DBC75C2E989B006/https://nitroflare.com/view/005422EBB85B6E6/https://nitroflare.com/view/ABEF92A5D22C3A3/https://nitroflare.com/view/7BABB661FB9DC12/https://nitroflare.com/view/57E028FA5D0E0BA/https://nitroflare.com/view/23EF2455F8A4FE6/https://nitroflare.com/view/EC4A635D12FB496/https://nitroflare.com/view/C944098CF92565D/https://nitroflare.com/view/F567434269B1E0C/https://nitroflare.com/view/4040EF4BF7234F7/https://nitroflare.com/view/7B8F24C9E0484D7/https://nitroflare.com/view/D5F41086C6FEA33/https://nitroflare.com/view/83BE493600670BE/https://nitroflare.com/view/8974106FF049B43/https://nitroflare.com/view/7F8C15CF314C750/https://nitroflare.com/view/727CD7FDAF924C4/https://nitroflare.com/view/37DA8CCEDB10567/https://nitroflare.com/view/E3D1F130AF3D061/https://nitroflare.com/view/35C041F8E8CE117/https://nitroflare.com/view/5A1E7CF5260E8E1/https://nitroflare.com/view/5A2CF9D49AD2180/ 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