Notes for Computational Linear Algebra by Jessy Grizzle
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About this book :-
These notes are designed for students learning how linear algebra applies in real-world settings, especially robotics. It was made for a beginner course at the University of Michigan and uses coding (in a language called Julia) to help students understand the math better. The notes cover things like solving equations, working with data, and understanding patterns. Students also do fun projects, like helping a robot see with sensors or balance like a Segway. It’s a great way to learn math by doing, not just by reading.
Book Detail :-
This book has following details information.
Title:
Notes for Computational Linear Algebra by Jessy Grizzle by NA
Publisher:
University of Michigan
Series:
FreeComp
Year:
2020
Pages:
282
Type:
PDF
Language:
English
ISBN-10 #:
N\A
ISBN-13 #:
N\A
Country:
Pakistan
License:
N\A
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About Author :-
The author NA
NA
Book Contents :-
conver the following topics.
1. Introduction to Systems of Linear Equations
2. Vectors, Matrices, and Determinants
3. Triangular Systems of Equations: Forward and Back Substitution
4. Matrix Multiplication
5. LU (Lower-Upper) Factorization
6. Determinant of a Product, Matrix Inverses, and the Matrix Transpose
7. The Vector Space Rn: Part 1
8. Euclidean Norm, Least Squared Error Solutions to Linear Equations, and Linear Regression
9. The Vector Space Rn: Part 2
10. Changing Gears: Solutions of Nonlinear Equations
11. Changing Gears Again: Basic Ideas of Optimization
A. Background for Machine Learning
B. To Learn on Your Own (if you want to): Cool and Important Things We Omitted From our Linear Algebra Introduction
C. What is an Ordinary Differential Equation?
D. Camera and LiDAR Models for Students of Robotics
Note :-
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