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Asher Roberts
Приєднався 19 вер 2013
asherbroberts.com/
Linear Algebra 10.20 Facial Recognition
My notes are available at asherbroberts.com/ (so you can write along with me).
Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul
A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul
A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Переглядів: 1 025
Відео
Linear Algebra 10.19 Internet Search Engines
Переглядів 55011 місяців тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.18 Warps and Morphs
Переглядів 36011 місяців тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.17 A Least Squares Model for Human Hearing
Переглядів 177Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.16 Harvesting of Animal Populations
Переглядів 245Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.15 Age-Specific Population Growth
Переглядів 496Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.14 Genetics
Переглядів 531Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.13 Cryptography
Переглядів 871Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.12 Chaos
Переглядів 203Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.11 Fractals
Переглядів 265Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.10 Computed Tomography
Переглядів 355Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.9 Equilibrium Temperature Distributions
Переглядів 339Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.8 Computer Graphics
Переглядів 632Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.7 Forest Management
Переглядів 353Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.6 Games of Strategy
Переглядів 441Рік тому
My notes are available at asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
Linear Algebra 10.3 Cubic Spline Interpolation
Переглядів 1,5 тис.Рік тому
Linear Algebra 10.3 Cubic Spline Interpolation
Linear Algebra 10.2 The Earliest Applications of Linear Algebra
Переглядів 387Рік тому
Linear Algebra 10.2 The Earliest Applications of Linear Algebra
Linear Algebra 10.1 Constructing Curves and Surfaces Through Specified Points
Переглядів 809Рік тому
Linear Algebra 10.1 Constructing Curves and Surfaces Through Specified Points
Linear Algebra 9.5 Data Compression Using Singular Value Decomposition
Переглядів 309Рік тому
Linear Algebra 9.5 Data Compression Using Singular Value Decomposition
Linear Algebra 9.4 Singular Value Decomposition
Переглядів 245Рік тому
Linear Algebra 9.4 Singular Value Decomposition
Linear Algebra 9.3 Comparison of Procedures for Solving Linear Systems
Переглядів 85Рік тому
Linear Algebra 9.3 Comparison of Procedures for Solving Linear Systems
Linear Algebra 8.6 Geometry of Matrix Operators
Переглядів 593Рік тому
Linear Algebra 8.6 Geometry of Matrix Operators
Linear Algebra 8.4 Matrices for General Linear Transformations
Переглядів 2,2 тис.Рік тому
Linear Algebra 8.4 Matrices for General Linear Transformations
Linear Algebra 8.2 Compositions and Inverse Transformations
Переглядів 1,5 тис.Рік тому
Linear Algebra 8.2 Compositions and Inverse Transformations
i amire u a lot u really helped me
Really interesting video
Thank you for this video. It was very easy to follow along with you.
Thank you so much for this videos. My summer calculus class is going great now thanks to you.
i hate turtles
do you still have notes in this video thank you
that weee was iconic
this is so awesome and cool (unlike turtles)
Grapher
Good video! I ma be honest this topic is one of the hardest for me. I have watched a lot of videos and feel I get a more precise idea every time. Still not completely grasp it tho.
Thank you so much! I'm so glad I found you. Don't know what would be of me in a week if I didn't
Please solved it's exercise
2024/6/25 簽
20:00 it's wrong. Negative times negative is positive
I made a mistake writing -(-15-0)j. It should be -(15-0)j. The final answer is still correct, though.
Excellent Explanation! Found this right as I was finishing with this chapter. Thanks!
what about the question 1 in exercise please tell me which formula we use for question no 1😢
The wronskian is zero for exammple 8 at zero, what about that case?
Theorem 4.4.4 only requires the Wronskian to not be identically zero. It doesn't matter if it happens to be zero in some cases.
I prefer to learn from video than reading. And you genius.
Any way you can five more explanation for 36:11? I don't understand exactly how we are supposed to know that f is not defined when cos(x) = -1 and defined when 1+cos(x) > 0
The natural logarithm is only defined for positive numbers, and those are the conditions that ensure the argument will be positive.
great video, thank you. but why did we switch the sign when multiplying both sides by 2 for b of integral test?
Taking reciprocals requires flipping inequalities.
thanks prof. for the knowledge🏅
I cannot accept the fact that I'm studying a discipline which has an ERROR function. But if I make a small mistake in an exam, my whole life will be devastated😭😭
I love this video series... this guy is great. I have the new edition, but these videos are a great companion.
Thank you
at 39:38 there's a mistake in A transpose it shouldve been A11, A21, A31 A12, A22, A32 A13, A23, A33 A14, A24, A34
Oops
I subscribed this channel when I took multidimensional calculus and calculus 3. This summer I started to teach myself linear algebra and today I found this, exactly the textbook my friend sent me! I always have troubles with reading books, so I prefer to learn via videos and search information online. Thank you so much for making these exactly resonating with my textbooks!
thanks from Pakistan
I'm devastated that I didn't know your channel before 😭
yeah i'm cooked
can you explain what are you doing on the curl i dont understand if the term of partial derivative that youre putting on the matrix is a number, or what does that mean
perfect explanation thankss
Thanks Asher! I'm going to use this video for my presentation verbatim, and not cite you as my source. I don't know how to cite UA-cam videos in MLA format, or APA format, or Chicago format. So instead, I'm going to plagiarize all of your video. Sorry it had to come to this, but school is just brutal for me. I am not a good student. I apologize, but there are greater problems in my future. I hope I don't get caught, because academic dishonesty is immediate expulsion at my college, Harvard University. I love it at Harvard. Anyways, great video, keep it up, proud of you.
theta should be from 0 to 2pi not from 0 to pi
thank you sir
At 15:21 , why is the d/dx of y not negative, should it not be -y^3?
For lambda = 1/2 why did you pull out a negative t instead of just t?
To keep the first entry positive and match the book. It doesn’t really make a difference either way.
Thank you so much for these videos
for example 5, I got detA=2 also using wolframalpha tool I got detA=2 but in the book and your solution it's -6 why ?
At 43:09 shouldn’t the integral from 1 to t of e^-x be ([e^-t] - [e^-1]) instead of ([e^-1] - [e^-t]) ?
No, the antiderivative of e^-x is -e^-x, and we can remove the negative in front by changing the order of subtraction.
@@asherroberts ahhh right, thank you
Hey, Asher think there is a typo in P inverse at 9:13. the inverse is supposed to be {{1,0,2},{1,1,1},{-1,0,-1}}. I love your videos by the way!
You're right, I missed one of the negatives in the last row.
You just magically do the numerical values you don't explain any rules.In my textbook you do with delta
I fw u bro
in theorem 2.2.5 example 2, for the 3x3 matrix once you subtract r2 by 4r1 and r3 by 2r1 you still don't get a full row or column of 0s because row 1 is still complete since the x3 values don't cancel each other out so why is the determinant still 0
For that matrix, the second column can be obtained by multiplying the first column by -2.
for the last question I noticed that for the system to be consistent we are using the row of the inverse of the matrix with the variable being b1, b2, b3. is is just a coincidence or can we just do the inverse every time to find the condition for consistency.
Not all matrices are square, and not all square matrices are invertible. However, the general procedure is still to reduce the matrix to row echelon form to determine conditions for the matrix b that make Ax=b consistent.
I'm a little confused, would u mind replying to this with a list of which problems are convergent and divergent?
Great
well explained
god bless u
life saver!!
thank you Sir