- 155
- 273 411
Arnold Yim
United States
เข้าร่วมเมื่อ 30 ส.ค. 2013
Solving Exponential Equations
In this video, we go over how to use logarithms to help us solve exponential equations.
มุมมอง: 10
วีดีโอ
Solving Logarithmic Equations
มุมมอง 72 หลายเดือนก่อน
In this video, we go over how to use the properties of logarithms to help us solve logarithmic equations.
The Change of Base Formula
มุมมอง 132 หลายเดือนก่อน
In this video, we go over the change of base formula for logarithms. We use it to compute logarithms using our calculators.
Combining Logarithms
มุมมอง 82 หลายเดือนก่อน
In this video, we go over how to use properties of logarithms to combine logarithmic expressions.
Splitting Logarithms
มุมมอง 202 หลายเดือนก่อน
In this video, we go over how to use properties of logarithms to split logarithmic expressions.
Properties of Logarithms
มุมมอง 132 หลายเดือนก่อน
In this video, we go over some properties of logarithms.
Solving Basic Logarithmic Equations
มุมมอง 82 หลายเดือนก่อน
In this video, we go over how to solve some basic logarithmic equations.
Converting Between Logarithmic and Exponential Equations
มุมมอง 62 หลายเดือนก่อน
In this video, we go over how to convert a logarithmic equation into an exponential equation and vice versa.
Logarithms
มุมมอง 72 หลายเดือนก่อน
In this video, we introduce logarithms. We go over how to compute logarithms and some of its basic properties.
Solving Basic Exponential Equations
มุมมอง 42 หลายเดือนก่อน
In this video, we go over how to solve exponential equations where the exponential expressions have the same base.
Exponential Functions
มุมมอง 72 หลายเดือนก่อน
In this video, we go over the basics of exponential functions. We see that when the base is greater than 1, we have an exponential growth function. When the base is between 0 and 1, we have an exponential decay function.
Properties of Exponents
มุมมอง 62 หลายเดือนก่อน
In this video, we go over some properties of exponential expressions.
Finding Inverse Functions
มุมมอง 172 หลายเดือนก่อน
In this video, we go over how to find the formula of the inverse to a function.
Graphs of Inverse Functions
มุมมอง 92 หลายเดือนก่อน
In this video, we go over how to graph inverse functions.
Inverse Functions
มุมมอง 52 หลายเดือนก่อน
In this video, we go over inverse functions. We learn how to fill out a table of values for inverse functions. We learn about one-to-one functions and the horizontal line test to help us determine if a function has an inverse.
Asymptotes of Rational Functions - Examples
มุมมอง 92 หลายเดือนก่อน
Asymptotes of Rational Functions - Examples
Oblique Asymptotes of Rational Functions
มุมมอง 162 หลายเดือนก่อน
Oblique Asymptotes of Rational Functions
Horizontal Asymptotes of Rational Functions
มุมมอง 112 หลายเดือนก่อน
Horizontal Asymptotes of Rational Functions
Vertical Asymptotes of Rational Functions
มุมมอง 93 หลายเดือนก่อน
Vertical Asymptotes of Rational Functions
Graphing Polynomial Functions (Part 2)
มุมมอง 83 หลายเดือนก่อน
Graphing Polynomial Functions (Part 2)
Graphing Polynomial Functions (Part 1)
มุมมอง 53 หลายเดือนก่อน
Graphing Polynomial Functions (Part 1)
Very helpful,thank you! Do you have trig videos?
Thank you
thank you for this tutorial! although most modern/advanced calculators accept logarithms with varying bases, it's still fundamental to remember that these formulas exist for when either we need to simplify equations or calculate logarithms using standard calculators.
Very nice
Very helpful, thanks so much! Could you please upload trig notes?
how come in one example the unit vector is found by dividing by the magnitude while in the other example the unit vector is found by dividing by the sum of the matrix entries?
super clean explanation!
we want more videos
very helpful thanks
Great video!
Why my lecture thaught me this different like Ui is eigen vector divided by norm eigen vector. (Sorry my english kinda bad)
A nice precalculus course. But It would be nice when you talking parallel lines and perpendicular lines , it is nice give a visual proof of slopes relationships from geometry.
Thank you for the in-depth explanation!
just one question: what if you have a linear combination where two vectors both have scalars, e.g. 2v2 = 3v1, would it still count as a linear combination?
nice
This and the following video are brilliant, thank you for taking the time to make them! It is much appreciated.
Thank you so much
what would happen if the constraint in first example was 2?
great video
Sir how is root 5 is obtained
length
thanks
U need to convert this to an udemy course... It's so good
great video thanksss
❤
Extremely clear. Coming from FSA, this is quite intuitive.
your videos are life-saving!
This dude is the goat
Awesome 💯
Glad to know this channel❤❤❤❤. Please what if the quadratic form had constant term such as 10. Hiw do we include that into the matrix?
Well explained sir
legend
i don't know why you stopped making video , but if now you are healthy and alive , i think you should come back , you are just awesome <3
Awesome video.
That is an awesome video. Thank you so much. Very very helpful
god i hate linear algebra
Trust me, put in the effort and linear algebra is so cool. I have just seen the proof why you can always diagonalize symmetric Matrix A with A = PDP(transpose) and the proof is cool. It is worth the effort when all comes together and also it is nice to be able to use linear algebra to solve problems and understand why it works because linear algebra is powerful. Let it grow on you, you will end up liking it
How did u get sqrt(45) for the last column when doing orthonormal???
How do you get that span
How do we do that row reduction?
This video really helped me understand this much much better. .. um really gratefull
How can i solve 5×3 matrix
Well done
great explanations sir!
These are incredibly helpful. Thank you for all your work :)
Very well-made video
Thank you for this great explanation
How the √45 come in third eigen vector
amazing video:)
Why the PAP^1 is not equal to A
You're amazing. Thank you!
Should A= PDP transpose instead of P inverse?
No, it is correct. The point of Eigen decomposition is that it can be powered quickly as PDPinverse raised to a high power equals PD^powerPinverse as P*Pinverse is the identity matrix and doesn't need to be computed. D is quick to power as it is a diagonal matrix so all entries will be raised to that power.