This book is
meant to provide an introduction to vectors, matrices, and least squares
methods, basic topics in applied linear algebra. Our goal is to give the
beginning student, with little or no prior exposure to linear algebra, a good
grounding in the basic ideas, as well as an appreciation for how they are used
in many applications, including data fitting, machine learning and artificial
intelligence, tomography, image processing, finance, and automatic control
systems. Topics covered includes: Vectors, Norm and distance, Clustering,
Matrices, Linear equations, Matrix multiplication, Linear dynamical systems,
Least squares, Multi-objective least squares, Constrained least squares.
This note covers
the following topics: Motivation, linear spaces, and isomorphisms, Subspaces,
linear dependence and independence, Bases, Dimension, direct sums, and
isomorphism, Quotient spaces and dual spaces, Linear maps, nullspace and range,
Nullity and rank, Matrices, Changing bases, Conjugacy, types of operators, dual
space, determinants.
This note covers the following topics: Linear Algebra, Matrix Algebra,
Homogeneous Systems and Vector Subspaces, Basic Notions, Determinants and
Eigenvalues, Diagonalization, The Exponential of a Matrix, Applications,Real
Symmetric Matrices, Classification of Conics and Quadrics, Conics and the Method
of Lagrange Multipliers, Normal Modes.
The purpose with
these notes is to introduce students to the concept of proof in linear algebra
in a gentle manner. Topics covered includes: Matrices and Matrix Operations,
Linear Equations, Vector Spaces, Linear Transformations, Determinants, Eigenvalues and Eigenvectors, Linear Algebra and Geometry.
This book is
addressed primarely to second and third year college engineering students who
have already had a course in calculus and analytic geometry. It is the result of
lecture notes given by the author at Arkansas Tech University. Topics covered
includes: Linear Systems of Equations, Matrices, Determinants, The Theory of
Vector Spaces, Eigenvalues and Eigenvectors, Linear Transformation.
This
book covers the following topics: Brief introduction to Logic and Sets, Brief introduction to Proofs, Basic Linear
Algebra, Eigenvalues and Eigenvectors, Vector Spaces.
This book covers the following topics:
Basic concepts and notation, Tight lattices, Tame quotients, Abelian and
solvable algebras, The structure of minimal algebras, The types of tame
quotients, Labeled congruence lattices, Solvability and semi-distributivity,
Congruence modular varieties, Malcev classification and omitting types,
Residually small varieties, Decidable varieties, Free spectra, Tame algebras and
E-minimal algebras, Simple algebras in varieties.