#vectormath — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #vectormath, aggregated by home.social.
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Alright, future engineers!
The **Norm** (`||v||`) is the length or magnitude of a vector. Ex: For `v=[3,4]`, `||v|| = sqrt(3^2 + 4^2) = 5`. Pro-Tip: Essential for calculating distances & normalizing vectors to unit length!
#LinearAlgebra #VectorMath #STEM #StudyNotes -
Alright, future engineers!
The **Norm** (`||v||`) is the length or magnitude of a vector. Ex: For `v=[3,4]`, `||v|| = sqrt(3^2 + 4^2) = 5`. Pro-Tip: Essential for calculating distances & normalizing vectors to unit length!
#LinearAlgebra #VectorMath #STEM #StudyNotes -
Alright, future engineers!
The **Norm** (`||v||`) is the length or magnitude of a vector. Ex: For `v=[3,4]`, `||v|| = sqrt(3^2 + 4^2) = 5`. Pro-Tip: Essential for calculating distances & normalizing vectors to unit length!
#LinearAlgebra #VectorMath #STEM #StudyNotes -
Alright, future engineers!
The **Norm** (`||v||`) is the length or magnitude of a vector. Ex: For `v=[3,4]`, `||v|| = sqrt(3^2 + 4^2) = 5`. Pro-Tip: Essential for calculating distances & normalizing vectors to unit length!
#LinearAlgebra #VectorMath #STEM #StudyNotes -
Alright, future engineers!
The **Norm** (`||v||`) is the length or magnitude of a vector. Ex: For `v=[3,4]`, `||v|| = sqrt(3^2 + 4^2) = 5`. Pro-Tip: Essential for calculating distances & normalizing vectors to unit length!
#LinearAlgebra #VectorMath #STEM #StudyNotes -
Alright, future engineers!
A **Linear Combination** is a new vector made by scaling existing vectors & adding them. Ex: `2*[1,0] + 3*[0,1] = [2,3]`. Pro-Tip: It's the fundamental way to build new vectors within a given space!
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Alright, let's nail this Linear Algebra concept!
Dot product measures how much two vectors 'agree' on direction. Ex: For v=[v1,v2], w=[w1,w2], v.w = v1w1 + v2w2. Pro-Tip: If v.w = 0, they're orthogonal! Crucial for projections & bases.
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Piotr Migda tries to explain vector math magic in 'king – man + woman = queen' using #word2vec 🤓, but it's basically just a linguistic Ouija board session. 🤔 Spoiler alert: it's still math, not #sorcery. 🧙♂️✨
https://p.migdal.pl/blog/2017/01/king-man-woman-queen-why/ #PiotrMigda #vectorMath #linguisticOuijaBoard #mathNotMagic #HackerNews #ngated -
Piotr Migda tries to explain vector math magic in 'king – man + woman = queen' using #word2vec 🤓, but it's basically just a linguistic Ouija board session. 🤔 Spoiler alert: it's still math, not #sorcery. 🧙♂️✨
https://p.migdal.pl/blog/2017/01/king-man-woman-queen-why/ #PiotrMigda #vectorMath #linguisticOuijaBoard #mathNotMagic #HackerNews #ngated -
Piotr Migda tries to explain vector math magic in 'king – man + woman = queen' using #word2vec 🤓, but it's basically just a linguistic Ouija board session. 🤔 Spoiler alert: it's still math, not #sorcery. 🧙♂️✨
https://p.migdal.pl/blog/2017/01/king-man-woman-queen-why/ #PiotrMigda #vectorMath #linguisticOuijaBoard #mathNotMagic #HackerNews #ngated -
Piotr Migda tries to explain vector math magic in 'king – man + woman = queen' using #word2vec 🤓, but it's basically just a linguistic Ouija board session. 🤔 Spoiler alert: it's still math, not #sorcery. 🧙♂️✨
https://p.migdal.pl/blog/2017/01/king-man-woman-queen-why/ #PiotrMigda #vectorMath #linguisticOuijaBoard #mathNotMagic #HackerNews #ngated -
FYI: Vector Search Magic: Superhero & Sporty Car Combo! #shorts: By using vector math, one can combine a DeLorean image with the text query for superhero to generate an embedding. Averaging these embeddings together then allows a search to find a superhero on top of a sporty car with cool lights. #vectormath #image #superhero #DeLorean #embedding https://www.youtube.com/shorts/RMX2A02pP90
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ICYMI: Vector Search Magic: Superhero & Sporty Car Combo! #shorts: By using vector math, one can combine a DeLorean image with the text query for superhero to generate an embedding. Averaging these embeddings together then allows a search to find a superhero on top of a sporty car with cool lights. #vectormath #image #superhero #DeLorean #embedding https://www.youtube.com/shorts/RMX2A02pP90
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Vector Search Magic: Superhero & Sporty Car Combo! #shorts: By using vector math, one can combine a DeLorean image with the text query for superhero to generate an embedding. Averaging these embeddings together then allows a search to find a superhero on top of a sporty car with cool lights. #vectormath #image #superhero #DeLorean #embedding https://www.youtube.com/shorts/RMX2A02pP90
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#100DaysOfCode day 13:
A bit to much beer and a little late to sleep last night, so not much done today, but I did continue with some #vectorMath and #NatureOfCode, today it was multiplication.
#Javascript #CreativeCode #GenerativeArt #Math -
#100DaysOfCode day 11:
More of the same. #vectorMath in #P5JS. Made a random walker that uses a velocity random vector. And I am pretty happy about that, took some searching on the web, but finally got the right result.
#Javascript #CreativeCode #Math #generativeArt -
#VectorMath #GodotEngine #Help
Can anyone explainify a thing to me?
See : https://docs.godotengine.org/en/3.0/tutorials/math/matrices_and_transforms.html
There's a part where they say:
"This was expected, but then let’s do something more interesting. Use the dot product of X and the point, and add it to the dot product of Y and the point:
var final_pos = Vector2(x.dot(new_pos), y.dot(new_pos))"And I can hear the point wooshing over my head. They also say they explained it before, but I can't find that 'splain.
Halp!
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Looking for good resources on rasterizing 3D to 2D.
Use case is a game that sends PNG images of a view of a system.
The view is from a player's perspective. I have their x,y,z, the x,y,z they're observing, their field of view.
I'm stuck at how to determine the plane this view projects on.
I know the distance between observer and the one point on that plane but don't understand how to make a plane perpendicular to the line.
