How to find the Adjoint of a Matrix

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In linear algebra, the adjugate or classical #adjoint of a square matrix is the transpose of its cofactor matrix. It is also occasionally known as adjunct matrix, though this nomenclature appears to have decreased in usage.
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What a great teacher, you really went to the point, with clarity and straightforwardness, finally I understood, thank you!

juancarlosruizarteaga
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Mr Tambuwal you're the best 💚 You're making fall in love with mathematics 🙏may God bless you

olamileanongod_
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you are really a teacher, you are good at making a student understand the concept very well without being left behind along the line. thank you and keep going Sir.

vpnserver
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harry-uhyg
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You're really such a good teacher, you went straight to the point

simuwanamwanangombe
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Thanks sir, you were such a great help. We all have been taught the shortcut of finding the adjoint and today our teacher asked about the process behind it, Literally none of us had any clue since we were never taught amd it was such a shameful thing considering that we were all maths students.

Icey_tea
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I wish my professors were as good as you sir, thanks a lot from Greece

ΝίκοςΧαρδαλιάς-ισ
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My brother I just like the clarity you have eee, so wonderful

ChandermoonSen-ynkp
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Thank! This helped me in my exam prep.

sheldoncastelino
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Thanks for your contribution to the board of knowledge

levoslumus
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Thank you very much I really understand the concept now.

marygolduchechi
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so straight forward to the point love your explanation

Mostechcode
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I have been looking for your video where you explained the inverse of a matrix using gauss method

SalvinaTraceyMwaipopo
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Very clean sir and good good explanation

nithinreddy
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Thank you so much i passed my exam thanks to you ❤

OlamideOladele-qm
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Why we use (-1) in cofactors
Instead of (+1)

fiazahmed
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Please in finding the cofactors you didn’t multiply their coefficient with the minors 🤷‍♀️ or I’m mistaken

Datforheadgal
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Thank you so much! My math exam is very soon and I completely forgot how to calculate it. I was just staring at my paper and thanks to you I understand it again. Immediate gain of a new subscriber!

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