<p> Algos System </p>

89c01b8a-5cc0-4d5f-9b6a-ec07dea448e7 19 4 5 decimal

&[DATE] &[TIME] - &[FILENAME]

M nc nr λ Pad A M : insert 'nc' cols in 'A' i 1 A rows range j 1 nc range vert i j el λ : for for a A 1 A rows 1 A cols 2 / Floor submatrix : b A 1 A rows A cols 2 / Floor 1 + A cols submatrix : S a vert b augment transpose : insert 'nr' rows in the transpose 'S' i 1 S rows range j 1 nr range horiz i j el λ : for for a S 1 S rows 1 S cols 2 / Floor submatrix : b S 1 S rows S cols 2 / Floor 1 + S cols submatrix : S a horiz b augment transpose : 111 line :

Mesh U, V  within the bounds L, H L H N xd N intervals U 0 : dx H L - N / : i 1 N range U i el L dx i * dx - (+ : for U 51 line :

Generate the symmetric square matrix x y f U V Sym r 1 : i 1 U rows range c 1 : j 1 V rows range M r c el U i el V j el f eval : c c 1 + : 21 line for r r 1 + : 31 line for M 31 line :

L 1 - : H 1 : n 48 : 13 mat U L H n xd : V U : 12 mat 21 mat

ε ≠ 1 ... elliptic ε 1 :

x y f 255 x 2^ε y * (2^+ (- 0.25 / exp * :

N x y f U V Sym :

Ω n 1 + n 1 + matrix 128 + :

Im N 11255 Pad :

Orange 1 Im * 0.5 Im * 0 Im * 13 mat :

New Ω 110 Pad :

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 N 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 Im iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABaSURBVFhH7c4xEcAwEMCwQA/0ZiiA+vpDBgmAz2sPWWssddgqbBW2CluFrcJWYauwVdgqbBW2ilu3LvXu/TaYOmwVtgpbha3CVmGrsFXYKmwVtgpbha3v9n4AN7QSU7JbAkkAAAAASUVORK5CYII= New 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 Orange

L 1 - : H 1 : n 60 : 13 mat U L H n xd : V U : 12 mat 21 mat

λ 160 :

ε 1.5 :

xx yy f 255 xx 2^ε yy * (2^+ (- 0.5 / exp * :

G xx yy f U V Sym :

set size Halo x f 1.375 x * :

pie G 11 λ Pad :

image G 1 pie * 1 pie * 13 mat :

Halo G f vectorize :

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 Halo 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

Zoom by handle \

image 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 pie

U rows G rows pie rows 31 mat 60606131 mat

search range value
"truth" condition lo 128 : hi 255 : 12 mat x c x lo hi lele : 21 sys

H Halo c Halo * vectorize :

Otherwise color scheme H 0 H * 0 H * 13 mat

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

lo/hi sets a clean Halo region ...

'lele' from f(x) menu
Two equivalent Bolean x lo hi lele lo x ≤ (x hi ≤ (* 21 sys

alternate G/H

halo H 11255 Pad :

imHalo H 1 pie * 0 pie * 13 mat :

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 halo 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 imHalo

Revisit the Damier creator ...

m n Clear 1

You need that one for scaling grayscale image M lo hi Scale hi lo - (M M Min - M Max M Min - / (* lo + :

n 13 :

m 2 :

i 1 n range j 1 n range D i j el i j + m mod : for for

D D 0235 Scale :

iVBORw0KGgoAAAANSUhEUgAAAA0AAAANCAIAAAD9iXMrAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAA0SURBVChThcmhEQAwDAOx7L9qlmh6JmZ6IPJz7S7FbrEjdosdsVvsiN1iR+wWO2K32N+ZBwEd51UV882wAAAAAElFTkSuQmCC D

Implicit 'zoom fractional' Up/Down M a b zoomfract a b ≡ (a b | (1 ≠ (& (implicit conditions ≡ i 1 M rows a * (range j 1 M cols b * (range N i j el M i a / Ceil j b / Ceil el : a 1 ≥ N i j el M i a / Floor j b / Floor el : cases for for N 31 line :

up D 55 zoomfract :

dn up 0.75 0.75 zoomfract :

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 up 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 dn

t0 1 time :

Create the image matrix UP D 2020 zoomfract :

1 time t0 - min 4.5

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

Once you have created an image matrix slide a piece of maths over the image. A created image, resides in Smath. Once created, disable the 'creator'.

Once you have created an image matrix, slide a piece of maths over the image

UP x abs sqrt

jmG: 20230514