This example of the network nodes and paths to build a starting matrix is very good, and thank you for being the first one to provide an example of how in a practical manner it is applied.
THANK YOU! When I was trying to learn matrices, I struggled so hard because nobody ever offered a practical example of what they can be used for... my prof and curriculum just jumped into the empty motions of completing math problems involving matrices, but never clarified how they would be used beyond passing a math class. I knew if I could just get a clear example like this, I could make more sense of what I was doing, which is the only way it sticks in my mind.
These are completely different things so it very difficult to compare in the way that you request (i.e., identifying their differences). An algorithm is a set of rigorous instructions that allows a process to be carried out. A matrix is a table of elements where the rows and columns have some particular relationship to each other. In the example given in the video, the matrix formed is the set of weighted and directed connections between the nodes A, B, and C. From here we may choose to perform some operations such as finding the inverse, eigenvectors and eigenvalues, the degree and path centrality, or walks, cliques and subgraphs. The operations used to find each of these could be described as algorithms.
You compiled a table or array of numbers, you didn't create a matrix. There was no mention of the numbers representing the coefficients of an equation.
The example in this video forms a weighted adjacency matrix of a graph. You have mentioned another application of matrices which is to form a matrix representation of a system of equations, which includes a coefficient matrix. This is a different example to that given in this video. Matrices can arise in many other situations, too. The aim of this video was to show one simplified, real-life example.
This example of the network nodes and paths to build a starting matrix is very good, and thank you for being the first one to provide an example of how in a practical manner it is applied.
THANK YOU! When I was trying to learn matrices, I struggled so hard because nobody ever offered a practical example of what they can be used for... my prof and curriculum just jumped into the empty motions of completing math problems involving matrices, but never clarified how they would be used beyond passing a math class. I knew if I could just get a clear example like this, I could make more sense of what I was doing, which is the only way it sticks in my mind.
Excellent explanation. No one has ever taught mathematics like that
Was studyin this fr 3 years, tday i knew whr it is used😂
That is a great example- thank you!
Thanks for the clear explanation using a practical example. It helps to understand why are we using matrices and why they are useful
This was really good, thank you!
Thank you so much for this. This helped me today.
Great example
Thank you! This example is really useful
Great
Very clear explanation! I’m curious, can we solve this same example, using network analysis, that is critical path and stuff?
Thanks!😭🥹
wow! I have no experience with advanced math but yet i understood what you were saying clearly!
This is amazing, thank you!
thanks for the great explanation showing use case .
Nice !! Thank you.
So can matrices be identified by letters too?
It is just a table
sir, then what's the difference between Matrix and Algorithm? in terms of the same example you're using..
These are completely different things so it very difficult to compare in the way that you request (i.e., identifying their differences).
An algorithm is a set of rigorous instructions that allows a process to be carried out.
A matrix is a table of elements where the rows and columns have some particular relationship to each other.
In the example given in the video, the matrix formed is the set of weighted and directed connections between the nodes A, B, and C.
From here we may choose to perform some operations such as finding the inverse, eigenvectors and eigenvalues, the degree and path centrality, or walks, cliques and subgraphs. The operations used to find each of these could be described as algorithms.
I like that explanation
Sehr gut
You compiled a table or array of numbers, you didn't create a matrix. There was no mention of the numbers representing the coefficients of an equation.
The example in this video forms a weighted adjacency matrix of a graph.
You have mentioned another application of matrices which is to form a matrix representation of a system of equations, which includes a coefficient matrix. This is a different example to that given in this video.
Matrices can arise in many other situations, too. The aim of this video was to show one simplified, real-life example.
This does not explain why matrix multiplication is defined the way it is
This video helps to answer your question: ua-cam.com/video/IETgZtiHqZ8/v-deo.html&ab_channel=MathsPartner
Probably a good lecture, but do you have an other video version of it, where all the questions "OK?" after each sentence are muted?
L.O.T.V.