Sure machines used solar power but they could quite easily make use of geothermal, wind or nuclear power once the sky was dark. Humans however need organic sustenance which requires photosynthesis which there is not an alternative for. I get the humans were desperate but can you make this plan seem in anyway sensible?
These questions may sound stupid, sorry guys. I'm so confused.
- Is Gaussian Elimination and Gauss Jordan Method the same thing?
- If those two things above is different, is Gaussian Elimination used to solve Systems of Linear Equations, and is Gauss Jordan Method used to find inverse of a Matrix that is bigger than 2X2?
- Is Gauss Jordan Method and Gauss Jordan Elimination the same thing?
- Is Identity Matrix and Reduced Row Echelon Form the same thing? (From what I see, these two looks exactly the same)
- Difference between Row Echelon Form and Reduced Row Echelon Form? When would each of these Forms be used?
Edit: About Question 3, it does look like:
Gauss Jordan Method and Gauss Jordan Elimination are two different things. Gauss Jordan Method is used to find the Inverse of Matrix bigger than 2X2 Proof and Gauss Jordan Elimination is used to find the XYZ of system of equations Proof. But it also does seem like many people don't know the existence of Gauss Jordan Method. I don't know guys, please help.
I suppose it's technically table operations rather matrix operation but same idea: I want to mark dates without explicitly typing each date.
Say I create a table using a variable:
Cyber Monday =
var cm_dates = {Date(2021, 11, 29), Date(2020, 11, 30), Date(2019, 12, 02)}
... And I want to look at 7 days before, the day of, and 7 days after each Cyber Monday of their respective year. So the day after row would be 2021-11-30, 2020-12-01, ans 2019-12-03 and then day before row would be 2021-11-28, 2020-11-29, and 2019-12-01.
Continuing and doing either of the below don't work:
--attempt 1
RETURN Switch(true(),
Calendar[CalendarDate] IN cm_dates, t0 -- this line is fine
Calendar[CalendarDate] IN dateadd(cm_dates, 1, day), t1, -- this does not
Blank() )
--attempt 2
RETURN Switch(true(),
Calendar[CalendarDate] IN cm_dates, t0 -- this line is fine
Calendar[CalendarDate] IN dateadd(cm_dates, {1,1,1}, day), t1, -- this does not
Blank() )
The formulas, if they worked, would have more rows so that itd range from 14 and - 14 based on cm_dates, but since it doesn't I just kept it like this for brevity.
Im drawing a blank here.
Any ideas?
Editted the DAX part for readability
Hey guys!!
I'm currently studying the symmetry operation of molecules and how to write the transformation matrix.
I'm struggling in understanding how inversion has a matrix such that all diagonals are -1 (3*3 matrix)
i'll highly appreciate any help! Thank you
Hi, i'm new to python, now i'm exploring numpy lib for matrix operation.
I'm trying to multiply matrix1 with matrix1 then inverse the ans of it but i encounted "Array must be ' numpy.linalg.LinAlgError: 0-dimensional array given. Array must be at least two-dimensional" error at the inverse line
But i not sure why it went wrong, any guidence will be greatly appreciated!
my code:
import numpy as np
def inverse(arr1):
x=np.dot(np.transpose(arr1),arr1)
ans=np.linalg.inv(x) #Encounted error here
return ans
matrix = [1.1,2.1,3.2,3.4,6.4]
value = inverse(matrix)
print(value)How do I put the following matrix into a tridiagonal one using partial pivoting and row operations
| 0 | 1 | 3 |
|---|---|---|
| -1 | 2 | 8 |
| 2 | -1 | 5 |
First I swapped rows 1 and 3 to get the largest absolute pivot/diagonal entry
| 2 | -1 | 5 |
|---|---|---|
| -1 | 2 | 8 |
| 0 | 1 | 3 |
Then I took R2 <-- 2R2 + R1
| 2 | -1 | 5 |
|---|---|---|
| 0 | 3 | 21 |
| 0 | 1 | 3 |
I'm unsure how to get that 21 in the bottom position in the last column as it will effect the diagonal entry in column 2. Unless I am doing this wrong, any help is appreciated.
If I want to change a given matrix. I would do so using elementary operation. I can start with row or column.
Suppose I start with row and start doing things thing R1 becomes R1+R2 then R1 becomes 7R1 etc.
After doing few row operation can I do column operation on it like C2 = (C2+C3)/2 etc or do I have to stick with row operation since I started with it?
No where in my book is it said that I can do both of them at once or not and all examples stick to only one type of operation that's why I have this doubt.
Kindly make my understanding clear.
Thank You! :D
I’m working on developing a security operations skill matrix to validate that we have the proper skillsets within our team to properly move forward and defend our organization. Using the gaps as a way to educate, train and hire appropriate personal.
Has anyone seen one of these in the past. This will mostly be very specific to our organization, but was wondering if there was anything I could build off of to start with.
Hi,
I need a little help with this R project I'm working on, I have a matrix with 253 columns and 1000 rows, I am trying to create perhaps a for loop or another repeatable function whereby I can subtract the 253rd value of each row from the first, i.e. if the matrix is defined M, the operation I'm attempting is: M[1]-M[253], for all 1000 rows, and then storing these 1000 values in a single row vector. Is it possible to create a loop for this? I can't quite get a grasp on how the for loop would look like. Thanks for any help in advance
I'm teaching myself Python by converting my old Java homework into Python. The project I am converting is an image processor (basically the photo filters on your phone). To keep the essence of learning, I'm trying to minimize the use of advanced methods within SciPy, Numpy, Pillow, etc.
Many of my image filter methods are very expensive since my operations were done pixel-by-pixel, so I need help optimizing them.
Github guides with pictures! :)
- https://github.com/detkov/Convolution-From-Scratch
- https://github.com/ashushekar/image-convolution-from-scratch
Version 1: Numpy with basic loops
Blurring my image (1 time) takes approx 5.4 seconds in Python, while in Java this exact brute force code takes mere milliseconds. Of course this work time depends on CPU and image size, but you get the point... it's too expensive in Python.
Version 2: Numpy with broadcasting and matrix operations
Blurring my image (1 time) takes approx 2.3 seconds. I learned most of this through google/stackoverflow/github. Matrix operations are still new to me, and I would like to learn how to further improve the performance of this code. Any tips on improvement?
As of right now, I would rather continue learning Numpy rather than split my energy into learning OpenCV. I'm not doing any image recognition right now.
Version 3: Cheating with SciPy to see the best case scenario
Blurring my image (1 time) takes approx 0.018 seconds using scipy.signal.convolve2d module. I don't expect my own implementation to ever reach this speed.
Let's suppose I have a vector [a b c] and I want to get the matrix [aa ab ac, ba bb bc, ca cb cc]. What operation can I use in R for this? Thanks.
All the Numpy videos I've found focus on using Numpy arrays as well arrays. Really looking to get more into the matrix side. Basically how to do all the Matlab stuff in Python.
If possible would like to learn about linear/SDP in python.
Just to clarify I would like to learn about doing matrix operations and linear algebra in python I'm well versed in linear algebra but I don't have experience doing linear algebra/matrix operations in python.
https://preview.redd.it/ckerhtr76e661.png?width=1366&format=png&auto=webp&s=8c3b68125ae93529ffd4b8c922bac61e1cc9bfd3
Operation Ebony Matrix comes to Siege, bringing 2 New Operator to Team Rainbow. Hack your way behind enemy defenses with the new attacker, Fox (aka Aiden Pierce), and his Profiler PDA, or keep your team in the fight with the Haitian defender, Baron, and his H3X Healing Station.
Disclaimer: This is a fanmade season I created. Baron's CTU is Blackwood PMC, a CTU I created in a previous season concept ^(()^(https://www.reddit.com/r/Rainbow6/comments/jgwk24/operation_dark_growth/)). I am not from Haiti so apologize if I get anything wrong to do with geography, culture, etc. I am not an artist so I used artwork from Ubisoft.
https://preview.redd.it/cl7aw3wc6e661.png?width=1366&format=png&auto=webp&s=33760849521848455ed5fb628adb41d9441b63a6
https://preview.redd.it/gmpx007e6e661.png?width=1366&format=png&auto=webp&s=3ff385fbc5735016952da164238be215465fd0e5
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https://preview.redd.it/ytb311tmfe661.png?width=1366&format=png&auto=webp&s=80c6bdbba041dcbc74b6a4444c52de9508d2ee5d
https://preview.redd.it/ubfbwaj47e661.png?width=1366&format=png&auto=webp&s=cdc408692f721c182716934dcf5074a63fbdca63
Balancing:
Doc:
- 2x scope added to the P90.
- Stim Pistol ammo increased to 4 (from 3).
- Stim Pistol projectile is now hitscan.
IQ:
- Can now ping gadgets revealed to her while using her gadget.
What do you think of this season? Let me know your thoughts in the comments (if you are giving criticism just keep it constructive).
I was watching some of the 3b1b youtube videos about matrix multiplication, when I though it would be nice to have some kind of app I could play with to input matrices and see a grid deform with reference to the original grid. Hang on I could do that real easy was my last (and famous!?) thought!
But what features would make it really useful
I'm envisioning the ability to input a small number of matrices say 1 up to 4 and when a button is pressed it would animate each matrix in the chain, highlighting each matrix as it moves right to left, while morphing the grid to its new orientation...
anything else ?
Are elementary row operations possible on the Numworks calculator? Say I wanted to add two rows, or multiply a row by a scalar value how would i do this?
