Overview
Syllabus
Introduction to Linear Algebra by Hefferon.
One.I.1 Solving Linear Systems, Part One.
One.I.1 Solving Linear Systems, Part Two.
One.I.2 Describing Solution Sets, Part One.
One.I.2 Describing Solution Sets, Part Two.
One.I.3 General = Particular + Homogeneous.
One.II.1 Vectors in Space.
One.II.2 Vector Length and Angle Measure.
One.III.1 Gauss-Jordan Elimination.
One.III.2 The Linear Combination Lemma.
Two.I.1 Vector Spaces, Part One.
Two.I.1 Vector Spaces, Part Two.
Two.I.2 Subspaces, Part One.
Two.I.2 Subspaces, Part Two.
Two.II.1 Linear Independence, Part One.
Two.II.1 Linear Independence, Part Two.
Two.III.1 Basis, Part One.
Two.III.1 Basis, Part Two.
Two.III.2 Dimension.
Two.III.3 Vector Spaces and Linear Systems.
Three.I.1 Isomorphism, Part One.
Three.I.1 Isomorphism, Part Two.
Three.I.2 Dimension Characterizes Isomorphism.
Three.II.1 Homomorphism, Part One.
Three.II.1 Homomorphism, Part Two.
Three.II.2 Range Space and Null Space, Part One.
Three.II.2 Range Space and Null Space, Part Two..
Three.II Extra Transformations of the Plane.
Three.III.1 Representing Linear Maps, Part One..
Three.III.1 Representing Linear Maps, Part Two.
Three.III.2 Any Matrix Represents a Linear Map.
Three.IV.1 Sums and Scalar Products of Matrices.
Three.IV.2 Matrix Multiplication, Part One.
Three.IV.2 Matrix Multiplication, Part Two.
Taught by
freeCodeCamp.org