Eigenvectors Study guides, Study notes & Summaries
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Exercises in Applied Linear Algebra
- Exam (elaborations) • 71 pages • 2024
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- R323,18
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Table of Contents 
Preface vii 
1 Preliminaries 1 
1.1 Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 
1.1.1 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 
1.1.2 Answers for Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 
1.2 Set Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 
1.2.1 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . ...
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Mathematics for Business B: Summary + Notes + Exercises (Bridging MBA - KUL Brussels)
- Class notes • 124 pages • 2021
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- R102,32
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ENGLISH SUMMARY FOR BRIDGING PROGRAM MBA at KUL 
Prof.: Verhaest Dieter 
Textbook: Essential Mathematics for Economic Analysis (5th edition), Pearson, 2017 (4610); 
 
This document contains a summary of the course content + own class notes + exercises with solutions. 
 
Course content: 
1. Definite and indefinite integrals of a function of one real variable 
(antiderivative and indefinite integral+ integration methods+ definite integral and area) 
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2. Differential equations of the f...
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AS_ Quiz 3 - PCA_ Advanced Statistics - Great Learning. Graded Quiz. Score 9/10
- Exam (elaborations) • 12 pages • 2023
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- R190,03
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AS_ Quiz 3 - PCA_ Advanced Statistics - Great Learning. Graded Quiz. Score 9/10 Go Back to Advanced Statistics Course Content AS: Quiz 3 - PCA Type : Graded Quiz Marks: 9 Q No: 1 Answer Corr ect Marks: 1/1 In PCA, the principal components are orthogonal to each other such that they become highly correlated which inturn reduces multicollinearity within the independent variables. True False Orthogonal Components become uncorrelated and reduce multicollinearity 2/8 Q No: 2 70-75% 100% 80-85% 60-65%...
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Georgia Tech Est ISYE 6501 Lecture Transcripts, Comprehensive masterpiece
- Exam (elaborations) • 284 pages • 2023
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- R161,50
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Georgia Tech Est ISYE 6501 Lecture Transcripts, Comprehensive masterpiece. 
Document Content and Description Below 
Est ISYE 6501 Lecture Transcripts About This Document This document was originally created in the summer of 2017 and is maintained collaboratively through the efforts of the students of edX GTx ISY E 6501 using transcripts and screenshots from the video lectures. You are strongly encouraged to improve the formatting, layout, add or adjust images, bold key words, and even condense c...
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AQA A-level FURTHER MATHEMATICS 7367/1 Paper 1 Version: 1.0 Final PB/KL/Jun23/E6 7367/1 A-level FURTHER MATHEMATICS Paper 1QUESTION PAPER & MARKING SCHEME/ [MERGED] Marl( scheme June 2023
- Exam (elaborations) • 52 pages • 2024
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- R190,03
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AQA 
A-level 
FURTHER MATHEMATICS 
7367/1 
Paper 1 
Version: 1.0 Final 
PB/KL/Jun23/E6 7367/1 
A-level 
FURTHER MATHEMATICS 
Paper 1 
Time allowed: 2 hours 
Materials 
l You must have the AQA Formulae and statistical tables booklet for A‑level 
Mathematics and A‑level Further Mathematics. 
l You should have a graphical or scientific calculator that meets the 
requirements of the specification. 
Instructions 
l Use black ink or black ball‑point pen. Pencil should only be used for drawing. ...
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Solution Manual for Concise Introduction to Linear Algebra, 1st Edition By Qingwen Hu
- Other • 3 pages • 2024
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- R427,80
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Concise Introduction to Linear Algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process, eigenvalues and eigenvectors, diagonalizability, spectral decompositi...
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MAT3701 Semester 1 Assignment 2 2021
- Other • 30 pages • 2021
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- R150,00
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UNISA MAT3701 Linear Algebra Semester ONE Assignment TWO of 2021 solutions. Topics: 
Lagrange polynomials. 
Inner products. 
Linear operators. 
Adjoint Linear Operators. 
Nullity. 
Range. 
Diagonalization of matrices. 
Eigenvalues. 
Eigenvectors. 
Spectral decomposition of matrices.
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Lecture 16: Finding Eigenvalues and Eigenvectors
- Class notes • 3 pages • 2023
- Available in package deal
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- R151,98
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
7.2 Finding the Eigenvalues of a Matrix 
7.3 Finding the Eigenvectors of a Matrix
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Lecture 17: More About Eigenvalues/Eigenvectors
- Class notes • 3 pages • 2023
- Available in package deal
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- R151,98
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
7.4 More on Dynamical Systems 
7.5 Complex Eigenvalues
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Lecture 15: Eigenvalues and Eigenvectors
- Class notes • 3 pages • 2023
- Available in package deal
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- R151,98
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
7.1 Diagonalization
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