xd(L,H,N) ... Sym(f(u,v),U,V)

52de3075-775e-422e-bf94-d0bb4a050524 14 4 5 decimal

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

Mesh U, V  within the bounds L, H L H N xd U 0 : dx H L - N / : i 1 N 1 + (range U i el L dx i * dx - (+ : for U 41 line :

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

You need that one for scaling grayscale image M lo hi Scale hi lo - (M M Min - M Max M Min - 106 -^+ / (* lo + :

Discrete compactor L 1 - : H 1 : N 36 : 13 mat U L H N xd : V U : 31 sys

vectorize/map spot over a scalar
fnct ... linterp/cinterp/ainterp
are NOT scalar fnct... won't map. u v f 255 u 2^v 2^+ (- 0.125 / exp * : ω u v f U V Sym : x f x 0.25^: z ω f vectorize : spot z 0255 Scale : 51 line

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M spot :

Symbolic: 6.7 s
Numeric:   20 s M spot 0255 Scale :

Setup Smath image regions

R M 0 M * 0 M * 13 mat : G 0 M * M 0 M * 13 mat : B 0 M * 0 M * M 13 mat : 31 line

Yw M M 0 M * 13 mat : Cy 0 M * M M 13 mat : Ma M 0 M * M 13 mat : 31 line

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Cy - 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Ma -

Level mapping function(s)

Constrain the plot x u 0 x ≤ (x 255 ≤ (& :

arc C:\SmathFile\Arc.bmp READBMP :

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SmathFile

255 x 2^x 2^160 + / * 255 x 160 - (2^50 / - exp * 255 0.375 π * x * 160 / cos * 255 0.5 π * x * 160 / sin * 255 x 255 / 9 * 1 + log10 * 255 x 255 / sqrt * 255 x 255 / (2^* 25510 x 255 - 200 / (^* 255 x - 255 + 255 / (* 91 mat

plug your mapping f(x) x Φ 255 0.375 π * x * 160 / cos * 0 x ≤ 0 cases :

x f 255 x 255 / 9 * 1 + log10 * :

x Φ x u * x f x u * 2 1 sys

fmap arc Φ vectorize :

Q arc f vectorize :

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 fmap 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 Q

The matrix vectorizing function

algo style function: elements wise function over data data algo Vectorise i 1 data rows range j 1 data cols range Fnct i j el data i j el algo eval : for for Fnct 21 line :

M lo hi Scale hi lo - (M M Min - M Max M Min - 1012 -^+ / (* lo + :

Venturi

V 1261231171101039790879399106113119126132139146152159166166160153146139133126120113107101959088919610210711311812412913514014515115716216616516015414914413813212712211611110510094911261241181111059993878995102108114120127133139145152158164167162156149143137131124118112107101969088899410010511011512012513113714114615115716216516516115615114614113513012512011511012612411911310810196898691971031091151201261321381441501561621671651601541481421361301241181131071029792888892961011061111161211251311361401451501551601631651641601551511451411361311261251201141091039993878793981041091151201261311361421471531581641671641591531481421371311261201151101051009691888992961011061101141191231281331371421461511551601631651631611561521261261211161111061019690878994981041091141191241291341391441491541591641661641591541491441391341291241191141091051009692899090949810310711111511912312813213714014514815315716116412612612211811310910399958986899498103107112117121126130135140144149154158163166165162157152148143138134129124120115110107102999591899091949810210611011311712112512913313714014412612612312011411110710298948986889397101105109114118122126131135139143148152156161164166165161157153148144140136131127123119115110107103999693909091919598102105109112116119123126126124121117113109105101989490878791959810210611011411812112512913313714114414815215616016316616516316015515214814414013713212912512111711411010710310097949190919192959810112612612512211911511210910510198959188868892959810210610911211611912312613013313714014314715015315716116316516416316115715415114714314013713313012712311911711311010710410198969391126126126123121118114111109106102999793908887899194971001031061091121151191211251271301331371391431461491521551581611621651641631621601561531511481441411391361321291261241201171141121261261261251231201181141121101071041019996949188878789919496991021051071101131151181201231261281311331361391411441471491521541571601611621641631621611601581551521501481451421391371261261261261241221211181151131111091071041021009896939189888788909194969810110310510710911211411611812112312512712913113313613814014214414715015215415615716016116216316316116116012612612612612612412312112011711511311211010810710510310199979694929089888888909192949697991011031051061081101121141161181191211231251271291301321331361381391411431441461491511261261261261261261251241231211201191171151141121111101081071061041031011009897969493919190898988899091929393949698991011021041051061071081101121141151161181191201211231251261261261261261261261261251251241231221211201191181171161151141131121111101091081071061051041031021011009998979695949392929291919190909091919293949494959596979798126126126126126126126126126126126126126126125125124124123123122122121121120119119118118117116116115115114113113112111111110110109109108107107106105105104103102102101101100100999998989797126126126126126126126126126126126126126126126126126126126126126126126126126126126126126125125125125125125125125125125125125124124124123123123122122122122122121121121121120120120120120119119119126126126126126126126126126126126126126126126126126126126126126125125124124124123123123122122122121121121120120120119119119119118118117117116116115115114114113113113113112112111111111110110110126126126126126126126126126126126125125124123123122121120119119118117116115114114113112111110109109108107107105104104103102101101100999898979695959494939393929292929191919212612612612612612612612512412312212112011911711611511311211111010910810610510410310210099989796949392919191908989899091929293949495969899101102103104105106107108110111126126126126126125124123121120118116114113111110108107105103102100989795949290898988888990919293959798100102103105106108109111113115116118119120122125126127129130132133136137126126126126125123122120117115113111110108105103101999795939189888888899092949698100102104106108110113115117118120122125127128130132134137139140142144147149151153154156157159160126126126126124121119116114111109107104102999795928988878890929497991011041061091111141161181211231261281301331351381401421451481501521541571591611621631631621611611601571541521501261261261241221191161131101081051029996939088878890939698101104107110113115118121124127129132135138141144146150152155158160162164164163162161158155152150147144141139136132130127125126126126123120116113110107103100979490878688929598101105108111114118120124127130133137140143146150153156159162164165164163160156153150147144140138134131128125121118115112109106103100126126125122118114111107103999692898688929599102106109113117120124128131135138142146149153157161163166165163160156153149145142139135131127124120117114109107103100979592909191921261261241201161121081041009691888690949710210611011411812212613013413814214615015415816216616516416015615214814414013613212812412011611210810510198959290919092959810210510911212612612311911411010510096918787919510010410811311812212613113513914414915315716216616516315915415014614113713212812411911511010710399959289909093961001041071111141181221261301331261261221171121081029893888791961011061101151201251301351391441491541591641671651601561511461411361311261221171121081039995928989909498102106111114118122126130135138142146150154126126121115110105100958986919610110611211712212813213814314815415916416716415915414814313813312712211711210710398939089899397102106111115119123128133137141145150154159162164164162126125120114109102979186899510110611211812312913414014615115716316716515915314814213613112511911410810499948989899499104108113118122127132136141145150155160164165163160155151146142126124118112106100948887939910511111812312913514214715416016616616115414814213613012411811210710296918889939810310811311812312813313814314815315916316516416015515114514113613012612012612411711110498918691971041101171231291361431491551621671641571511451381321251191121071019590889095101106112117122127133138143148154160165165163158152147142137131126121116110104993364 mat :

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 V

lo 10 : hi 128 : 21 line

x algo 0 x lo ≤ 255 x hi ≥ lo hi 21 mat 025521 mat x linterp cases :

S V algo Vectorise : lumin S 0255 Scale : 21 sys

x algo 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 lumin

Smath 'linterp' NOT scalar V f vectorize not supported ≡