- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
Applied Linear Algebra and Matrix Analysis notes (2nd edition)
Thomas S. Shores - ISBN: 9783319747477
- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
View all 1 notes for Applied Linear Algebra and Matrix Analysis, written by Thomas S. Shores. All Applied Linear Algebra and Matrix Analysis notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Applied Linear Algebra and Matrix Analysis summary or other study material that matches your study style perfectly, and studying will be a breeze.
Best selling Applied Linear Algebra and Matrix Analysis notes
Includes: • Linear Equations • Set Notation • Matrices • Gauss Elimination • Reduced Row Echelon Form (RREF) • Matrix Multiplication Properties • Matrix Multiplication • Matrices as Linear Maps • Simple Structured Matrices • Matrix Inverse • The Determinant • Vector Spaces • Definition of image and Kernel • Invertible linear operators • Subspaces • Basis • Matrix Representation of Linear Maps • Eigenvector and Eigenvalue • Similarity Transf...
- Summary
- • 49 pages •
Includes: • Linear Equations • Set Notation • Matrices • Gauss Elimination • Reduced Row Echelon Form (RREF) • Matrix Multiplication Properties • Matrix Multiplication • Matrices as Linear Maps • Simple Structured Matrices • Matrix Inverse • The Determinant • Vector Spaces • Definition of image and Kernel • Invertible linear operators • Subspaces • Basis • Matrix Representation of Linear Maps • Eigenvector and Eigenvalue • Similarity Transf...
Do you have documents that match this book? Sell them and earn money with your knowledge!
Newest Applied Linear Algebra and Matrix Analysis summaries
Includes: • Linear Equations • Set Notation • Matrices • Gauss Elimination • Reduced Row Echelon Form (RREF) • Matrix Multiplication Properties • Matrix Multiplication • Matrices as Linear Maps • Simple Structured Matrices • Matrix Inverse • The Determinant • Vector Spaces • Definition of image and Kernel • Invertible linear operators • Subspaces • Basis • Matrix Representation of Linear Maps • Eigenvector and Eigenvalue • Similarity Transf...
- Summary
- • 49 pages •
Includes: • Linear Equations • Set Notation • Matrices • Gauss Elimination • Reduced Row Echelon Form (RREF) • Matrix Multiplication Properties • Matrix Multiplication • Matrices as Linear Maps • Simple Structured Matrices • Matrix Inverse • The Determinant • Vector Spaces • Definition of image and Kernel • Invertible linear operators • Subspaces • Basis • Matrix Representation of Linear Maps • Eigenvector and Eigenvalue • Similarity Transf...
Do you have documents that match this book? Sell them and earn money with your knowledge!
Why study with the book summaries on Stuvia?
Relevance, efficiency and convenience. These are important elements when studying or preparing for a course or exam. Studying with the help of book summaries, which are linked to the ISBN number of your (study) book, is more relevant than ever. Your fellow students or tutors are sharing their knowledge to help you prepare for your exams. Find the ISBN number of your book and you'll be sure to buy the right summary. That way you won't be faced with surprises during your exams.
All summaries on Stuvia are written by students who have already taken the exam, lecturers who teach the study material or professional publishers. As a result, you can be confident that you will understand the course material more easily and that the summary contains all elements that are tested in the exam. Find the book you need to study by its ISBN and choose the best textbook summary.