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LP model (solution space):

 plotSol(A, b)
- -

LP model (criterion space):

+ +

LP model (criterion space):

 plotCrit(A, b, obj, addTriangles = FALSE) 

ILP model (solution space):

- -

ILP model (criterion space):

+ +

ILP model (criterion space):

 plotCrit(A, b, obj, type = c("i","i","i"))

MILP model with variable 2 and 3 integer (solution space):

 plotSol(A, b, type = c("c","i","i"))
- -

MILP model with variable 2 and 3 integer (criterion space):

+ +

MILP model with variable 2 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","i"))

MILP model with variable 1 and 3 integer (solution space):

 plotSol(A, b, type = c("i","c","i"))
- -

MILP model with variable 1 and 3 integer (criterion space):

+ +

MILP model with variable 1 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","i"))

MILP model with variable 1 and 2 integer (solution space):

 plotSol(A, b, type = c("i","i","c"))
- -

MILP model with variable 1 and 2 integer (criterion space):

+ +

MILP model with variable 1 and 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","i","c"))

MILP model with variable 1 integer (solution space):

 plotSol(A, b, type = c("i","c","c"), plotFaces = F)
- -

MILP model with variable 1 integer (criterion space):

+ +

MILP model with variable 1 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","c"))

MILP model with variable 2 integer (solution space):

 plotSol(A, b, type = c("c","i","c"), plotFaces = F)
- -

MILP model with variable 2 integer (criterion space):

+ +

MILP model with variable 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","c"))

MILP model with variable 3 integer (solution space):

 plotSol(A, b, type = c("c","c","i"), plotFaces = F)
- -

MILP model with variable 3 integer (criterion space):

+ +

MILP model with variable 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","c","i"))

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z1C)6uBFh;uN5n)lWQp*ZRZldRM$-=w?WO{PxDt1&ra8xQJ*pCvl-=W;3Q{}EP7GSQ z&oQ`<6dU1M_HvGp_Z+_VgGlU(hDoiEcd)sP>734YXt{qoBZlfI?i~?5)~h=uOhKPI z0cZP(OhtPb-Cy~@jn7Ch-8=#(3WB#lgMr27aJdQho&&b5G;Jc??FPL_1jOUD-2Ac2 zcf;q*;+KuTWvf;*?dPb!amV_+Z~?`iN{qii;}rF4XeMQU4@&sRm+Xh4Ov?;ATCk7P z6;Jtmv6I>!2alSnteZSr%)&uS{(cthUe@O?<|GblE7cDqGz`A;O&kDW$zhDDOvH2{ zlQy45GgrU&?k-hAZju;d2vsI+XSecKODmD?X&JLnxVVpJcHFAclAeObkK0C0D=wU1 zM$eoxCy+%G0qAoc?4#3K8!0vxpIkzp4+xQt$?C?+K z0c#)&(K~jlmisF-P6OvQ@VrhG3(rb33if7Nj7N-s52#7OK>|oDpQ+;6+2o(V!$fTX z6DMka{^zsAx*S)pKv118T(~gG1KXFTA#fKpm)08;@mi}&0R5#)b5AFXJP98~lD@?$ z0g$dwn-6_$<0M$a+8>AO#)lTPP`s$%R8eH&lAl3H($d!Ub+GsypO(rjD69&O_h<~;Jj}XP=E6?Z5xH1Q_68Nfd&5yM( z37a_=31%6`Dl%b!cif=Yt$78{(+`wysFFh6kIF9aG^HTYwLzySoXpJdsHvtj%f+4J zIbDDUclRohs(OzJBX;!(f(gN29wjNQIvl*QGB4208&Gz~AWeR^)j(w&s%=9kAS5O~ zMO9=b5!l?IT_O_oP9OuN#(_!fN^leem90w&0zaXc7;YelAgvOW>s0^Gh2BO1*43Zp zC~|QTt!{`D|9-TlB0crAt$?@xai2laejVWyS(Onva~3Q(`{WPtlG$LP model (solution space):

 plotSol(A, b)
- -

LP model (criterion space):

+ +

LP model (criterion space):

 plotCrit(A, b, obj, addTriangles = FALSE) 

ILP model (solution space):

 plotSol(A, b, type = c("i","i","i"))
- -

ILP model (criterion space):

+ +

ILP model (criterion space):

 plotCrit(A, b, obj, type = c("i","i","i"))

MILP model with variable 2 and 3 integer (solution space):

 plotSol(A, b, type = c("c","i","i"))
- -

MILP model with variable 2 and 3 integer (criterion space):

+ +

MILP model with variable 2 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","i"))

MILP model with variable 1 and 3 integer (solution space):

 plotSol(A, b, type = c("i","c","i"), plotFaces = FALSE)
- -

MILP model with variable 1 and 3 integer (criterion space):

+ +

MILP model with variable 1 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","i"))

MILP model with variable 1 and 2 integer (solution space):

 plotSol(A, b, type = c("i","i","c"))
- -

MILP model with variable 1 and 2 integer (criterion space):

+ +

MILP model with variable 1 and 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","i","c"))

MILP model with variable 1 integer (solution space):

 plotSol(A, b, type = c("i","c","c"), plotFaces = F)
- -

MILP model with variable 1 integer (criterion space):

+ +

MILP model with variable 1 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","c"))

@@ -190,16 +190,16 @@ plot):

 plotSol(A, b, type = c("c","i","c"), plotFaces = F)
- -

MILP model with variable 2 integer (criterion space):

+ +

MILP model with variable 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","c"))

MILP model with variable 3 integer (solution space):

 plotSol(A, b, type = c("c","c","i"))
- -

MILP model with variable 3 integer (criterion space):

+ +

MILP model with variable 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","c","i"))

diff --git a/articles/bi-objective_3x_ex3.html b/articles/bi-objective_3x_ex3.html index 0cd9644..95b6074 100644 --- a/articles/bi-objective_3x_ex3.html +++ b/articles/bi-objective_3x_ex3.html @@ -138,32 +138,32 @@

LP model (solution space):

 plotSol(A, b)
- -

LP model (criterion space):

+ +

LP model (criterion space):

 plotCrit(A, b, obj, addTriangles = FALSE) 

ILP model (solution space):

 plotSol(A, b, type = c("i","i","i"))
- -

ILP model (criterion space):

+ +

ILP model (criterion space):

 plotCrit(A, b, obj, type = c("i","i","i"))

MILP model with variable 2 and 3 integer (solution space):

 plotSol(A, b, type = c("c","i","i"))
- -

MILP model with variable 2 and 3 integer (criterion space):

+ +

MILP model with variable 2 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","i"))

MILP model with variable 1 and 3 integer (solution space):

 plotSol(A, b, type = c("i","c","i"), plotFaces = FALSE)
- -

MILP model with variable 1 and 3 integer (criterion space):

+ +

MILP model with variable 1 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","i"))

@@ -177,24 +177,24 @@

MILP model with variable 1 integer (solution space):

 plotSol(A, b, type = c("i","c","c"), plotFaces = F)
- -

MILP model with variable 1 integer (criterion space):

+ +

MILP model with variable 1 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","c"))

MILP model with variable 2 integer (solution space):

 plotSol(A, b, type = c("c","i","c"), plotFaces = F)
- -

MILP model with variable 2 integer (criterion space):

+ +

MILP model with variable 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","c"))

MILP model with variable 3 integer (solution space):

 plotSol(A, b, type = c("c","c","i"), plotFaces = F)
- -

MILP model with variable 3 integer (criterion space):

+ +

MILP model with variable 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","c","i"))

diff --git a/articles/bi-objective_3x_ex4.html b/articles/bi-objective_3x_ex4.html index 439d8ae..57994bb 100644 --- a/articles/bi-objective_3x_ex4.html +++ b/articles/bi-objective_3x_ex4.html @@ -140,32 +140,32 @@

LP model (solution space):

 plotSol(A, b)
- -

LP model (criterion space):

+ +

LP model (criterion space):

 plotCrit(A, b, obj, addTriangles = FALSE) 

ILP model (solution space):

 plotSol(A, b, type = c("i","i","i"), labels="n")
- -

ILP model (criterion space):

+ +

ILP model (criterion space):

 plotCrit(A, b, obj, type = c("i","i","i"), labels="n")

MILP model with variable 2 and 3 integer (solution space):

 plotSol(A, b, type = c("c","i","i"), labels="n")
- -

MILP model with variable 2 and 3 integer (criterion space):

+ +

MILP model with variable 2 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","i"), labels="n")

MILP model with variable 1 and 3 integer (solution space):

 plotSol(A, b, type = c("i","c","i"), plotFaces = FALSE, labels="n")
- -

MILP model with variable 1 and 3 integer (criterion space):

+ +

MILP model with variable 1 and 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","i"), labels="n")

@@ -179,24 +179,24 @@

MILP model with variable 1 integer (solution space):

 plotSol(A, b, type = c("i","c","c"), labels="n")
- -

MILP model with variable 1 integer (criterion space):

+ +

MILP model with variable 1 integer (criterion space):

 plotCrit(A, b, obj, type = c("i","c","c"), labels="n")

MILP model with variable 2 integer (solution space):

 plotSol(A, b, type = c("c","i","c"), plotFaces = F, labels="n")
- -

MILP model with variable 2 integer (criterion space):

+ +

MILP model with variable 2 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","i","c"), labels="n")

MILP model with variable 3 integer (solution space):

 plotSol(A, b, type = c("c","c","i"), labels="n")
- -

MILP model with variable 3 integer (criterion space):

+ +

MILP model with variable 3 integer (criterion space):

 plotCrit(A, b, obj, type = c("c","c","i"), labels="n")

diff --git a/articles/intro.html b/articles/intro.html index f497579..77f4529 100644 --- a/articles/intro.html +++ b/articles/intro.html @@ -204,8 +204,8 @@

Three variables obj, plotOptimum = TRUE, labels = "n") - -

ILP model (here with ILP faces):

+ +

ILP model (here with ILP faces):

 view <- matrix( c(-0.412063330411911, -0.228006735444069, 0.882166087627411, 0, 0.910147845745087,
                   -0.0574885793030262, 0.410274744033813, 0, -0.042830865830183, 0.97196090221405,
@@ -217,8 +217,8 @@ 

Three variables type = c("i", "i", "i"), plotOptimum = TRUE, labels = "n")

- -

MILP model (here with continuous faces):

+ +

MILP model (here with continuous faces):

 view <- matrix( c(-0.412063330411911, -0.228006735444069, 0.882166087627411, 0, 0.910147845745087,
                   -0.0574885793030262, 0.410274744033813, 0, -0.042830865830183, 0.97196090221405,
@@ -232,8 +232,8 @@ 

Three variables plotOptimum = TRUE, # plotFaces = FALSE, labels = "n")

- - + + - -

LP model (criterion space):

+ +

LP model (criterion space):

 plotCrit(A, b, obj, addTriangles = FALSE) 

ILP model (solution space):

- -

ILP model (criterion space):

+ +

ILP model (criterion space):

 plotCrit(A, b, obj, type = c("i","i","i"))

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  • finalize3D() rglwidget()
    - - +

    Between planes

    @@ -134,8 +134,8 @@

    2024-02-21

    finalize3D() rglwidget(reuse = F)
    - - +

    Sphere

    @@ -156,8 +156,8 @@

    2024-02-21

    finalize3D() rglwidget(reuse = F)
    - - +

    Sphere down

    @@ -179,8 +179,8 @@

    2024-02-21

    finalize3D() rglwidget(reuse = F)
    - - +

    Sphere up

    @@ -202,8 +202,8 @@

    2024-02-21

    finalize3D() rglwidget(reuse = F)
    - - +

    2box

    @@ -215,8 +215,8 @@

    2024-02-21

    pts <- genSample(3, 300, range = range, box = TRUE) plotPoints3D(pts) finalize3D() - -

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