From 0ed83d42f6deb7defefa7964c13dcccaba2c24d4 Mon Sep 17 00:00:00 2001 From: Balasubramanian Narasimhan Date: Wed, 31 Jan 2024 16:24:27 -0800 Subject: [PATCH] Update pkgdown pages --- docs/index.html | 4 +- docs/pkgdown.yml | 2 +- docs/reference/CallbackParam-class.html | 4 +- docs/reference/Maximize-class.html | 6 +- docs/reference/diag.html | 10 +- docs/reference/diff-1.png | Bin 50794 -> 50817 bytes docs/reference/domain.html | 3 + docs/reference/grad.html | 6 +- docs/reference/id.html | 4 +- docs/reference/is_dcp.html | 14 +- docs/reference/is_dgp.html | 24 +- docs/reference/kl_div.html | 18 +- docs/reference/lambda_max.html | 16 +- docs/reference/lambda_min.html | 2 +- docs/reference/lambda_sum_largest.html | 2 +- docs/reference/lambda_sum_smallest.html | 2 +- docs/reference/log_det.html | 2 +- docs/reference/log_sum_exp.html | 6 +- docs/reference/logistic.html | 2000 +++++++++++------------ docs/reference/norm_nuc.html | 2 +- docs/reference/one_minus_pos.html | 4 +- docs/reference/p_norm.html | 2 +- docs/reference/pf_eigenvalue.html | 8 +- docs/reference/sum_largest.html | 20 +- 24 files changed, 1082 insertions(+), 1079 deletions(-) diff --git a/docs/index.html b/docs/index.html index 034b940f..05f7441c 100644 --- a/docs/index.html +++ b/docs/index.html @@ -98,9 +98,9 @@

CVXR

-

R build status CRAN_Status_Badge

+

R-CMD-check CRAN_Status_Badge

CVXR provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the restrictive standard form required by most solvers. The user specifies an objective and set of constraints by combining constants, variables, and parameters using a library of functions with known mathematical properties. CVXR then applies signed disciplined convex programming (DCP) to verify the problem’s convexity. Once verified, the problem is converted into standard conic form using graph implementations and passed to a cone solver such as ECOS or SCS.

-

CVXR includes several open source solvers in addition to the default OSQP, ECOS and SCS. Recent (1.x+) versions also include support for commercial solvers such as MOSEK, GUROBI and CPLEX.

+

CVXR includes several open source solvers in addition to the default OSQP, ECOS and SCS. Recent (1.x+) versions also include support for commercial solvers such as MOSEK, GUROBI and CPLEX.

For details and examples, we refer you to Fu, Narasimhan, Boyd (2020). If you use CVXR in your work, please cite this reference. (The R command citation("CVXR", bibtex = TRUE) will also give you a bibtex-formatted entry.)

Installation diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index e3ec5dfa..4bed1d28 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -4,7 +4,7 @@ pkgdown_sha: ~ articles: cvxr_intro: cvxr_intro.html version1: version1.html -last_built: 2024-01-31T18:53Z +last_built: 2024-02-01T00:22Z urls: reference: https://www.cvxgrp.org/CVXR/reference article: https://www.cvxgrp.org/CVXR/articles diff --git a/docs/reference/CallbackParam-class.html b/docs/reference/CallbackParam-class.html index 118ae421..095e3cd2 100644 --- a/docs/reference/CallbackParam-class.html +++ b/docs/reference/CallbackParam-class.html @@ -125,13 +125,13 @@

Examples

#> #> $attributes$callback #> function() { value(x) } -#> <environment: 0x7fbb172596d8> +#> <environment: 0x7f8a58a0a748> #> #> $attributes$name #> [1] "paramNA" #> #> $attributes$venv -#> <environment: 0x7fbb178f2ad8> +#> <environment: 0x7f8a5e4b0728> #> #> $attributes$.is_vector #> [1] FALSE diff --git a/docs/reference/Maximize-class.html b/docs/reference/Maximize-class.html index eaae4ec2..e597b13a 100644 --- a/docs/reference/Maximize-class.html +++ b/docs/reference/Maximize-class.html @@ -117,9 +117,9 @@

Examples

#> [1] 0.8630462 result$getValue(x) #> [,1] -#> [1,] 0.5333226 -#> [2,] 0.3333299 -#> [3,] 0.1333475 +#> [1,] 0.5333338 +#> [2,] 0.3333332 +#> [3,] 0.1333331
diff --git a/docs/reference/diag.html b/docs/reference/diag.html index d7133521..877b5775 100644 --- a/docs/reference/diag.html +++ b/docs/reference/diag.html @@ -95,12 +95,12 @@

Examples

prob <- Problem(obj, constraints) result <- solve(prob) result$value -#> [1] 0.5831514 +#> [1] 0.5832021 result$getValue(C) -#> [,1] [,2] [,3] -#> [1,] 1.0000000 0.6 0.5831514 -#> [2,] 0.6000000 1.0 -0.3000000 -#> [3,] 0.5831514 -0.3 1.0000000 +#> [,1] [,2] [,3] +#> [1,] 1.0000000 0.5999999 0.5832021 +#> [2,] 0.5999998 1.0000001 -0.3000000 +#> [3,] 0.5832021 -0.3000000 1.0000000 diff --git a/docs/reference/diff-1.png b/docs/reference/diff-1.png index f20dde30e09037ed6b53d45307829938d373aa9a..33df0dffed4cbbb75654003d938bbbc214c7d650 100644 GIT binary patch literal 50817 zcmeFZc|4T;+de)_mh7qQdzP|hiR{_3Qz-jVNOoo4M-qyJELl^QgzWn^N+?^|cN5u{ z8Hu4W{N6*|clZ5yp67Gl|NdTIuSzdwu34_*JkH}d&hwhcD>|y=Bn%`F2!vc+O<4~D zA@G4fpf`yL!B55$vryn0;Z03dW$+z*?JCs=gKx*()QsIB5aw{)U%Z&P4O<9=4Wh2B zVBnLsIvJdnW*dk+7;db8XVY>&LeY7dvhduv7`#+$P@li#eXAayy%w*@qgR8WSL~x` z9@01pTv0i}#iZ+aE&JNoOH*D03{-vgdb8KoxQn-&P_Fd(p(2$Nq{PwDPsl}wcdf;{ zFWP*Fn-CrDT3y-o>6+~^8*W55d@0RLf7UzUKFOvY$NB&M{J(eL|GfkM?;ZI6|2v?m 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zbMix0${0E+iR->k^a<8?;b4UNwb65*{_YG>O}*7o0wfVu(3ISy^M0aR@RGOG6PvJ4s!8M*hf>>)Tk!%QaW@ zsvl+_l?rVKqW0ZB2r=7sYMYl|>%K*4?q`pEZ(Ob#orH*V<{ix67z2oZ!Xh0JbCIYw zUe;{N@CedlutmE)NYh9^{klb{=Ou|_#_buKB+6E|yD1(L?j@157%TOHT$7&LHr^Xz zQaKxhc`n`Q^P5`w^t5Px#zd*CUN!T1mlZ7T#2ubyt?{>BjAShW0_x)DcYOJq66kp8l|4 z?wn!vGr@7NolR$r_qA2M&sCwJf;*7E%=5m9h9j)ZP&r9tD`(87smGz;YyS@3qH@O? z=f!*WY5!UG%-f6|Eq&J$-JDL2k^`U{k_8!>4vQ;T4t0AzlIB#X_5jz@Z&p+FU>g^I zHtghc!Fx%envG9^qQ{(S?xwcDsJ;T~jqYX`BQMefzF+sy1u)>nt^hC3M6af@BG1c_ z6`~=9v?b3IlDe$O9nynE1F?yv-0jpwNZkX9nPG$tSIl!-$|sDdHs6JZI&#IuKFg)C zlSO`)-LYX&ZlDivs7f+)96V+Lq!5h5Q|8ky#X4Im_{Kf9_z8qXQw0SsCINf9BW<*f z=xeCs5=!a{`lA|HUTPd|WmEI6S!l2-ah?eM^1~_O(12mDzlm5Cuc3=eEGdM)4k5a1 zM0o$P`|!u3!SXbEr}+|M_{9~+YZdhdjLymI^rq-yw~P8k8Oz%y6K55J^C0rS2_hZJ z_Xzl~${hM*&pV~@l#fRtidICdtJg*wXMB$Z>c9v+rW^J{y0Ukx82;Zg-2A`Vlg6g0 zBFL%VxWg@rqWWCcLN>qyKV2}_1FY(Te0G+bW6IqWj30>n_6Tr8Ka`%fd@i5S7^V3XIKQnoU@m}IRZoOf8IA|3Q4mnMSTr>S2QSqPj z2Ctwi${a`FNsD}kAWo)_yx;PE{r|^59?*)BDiGcl_@BAyZ!fDs**Y9~dHCF|e*<7S BhCToQ diff --git a/docs/reference/domain.html b/docs/reference/domain.html index b3249a5f..f942dae1 100644 --- a/docs/reference/domain.html +++ b/docs/reference/domain.html @@ -103,6 +103,9 @@

Examples

dom <- domain(lambda_max(A)) A0 <- rbind(c(1,2), c(3,4)) result <- solve(Problem(Minimize(norm2(A - A0)), dom)) +#> 'as(<dtCMatrix>, "dgCMatrix")' is deprecated. +#> Use 'as(., "generalMatrix")' instead. +#> See help("Deprecated") and help("Matrix-deprecated"). result$getValue(A) #> [,1] [,2] #> [1,] 1.0 2.5 diff --git a/docs/reference/grad.html b/docs/reference/grad.html index 6d99816f..67c824f7 100644 --- a/docs/reference/grad.html +++ b/docs/reference/grad.html @@ -92,7 +92,7 @@

Examples

value(x) <- c(-3,4) expr <- p_norm(x, 2) grad(expr) -#> $`1530` +#> $`1539` #> 2 x 1 sparse Matrix of class "dgCMatrix" #> #> [1,] -0.6 @@ -102,14 +102,14 @@

Examples

value(A) <- rbind(c(3,-4), c(4,3)) expr <- p_norm(A, 0.5) grad(expr) -#> $`1531` +#> $`1540` #> [1] NA #> value(A) <- cbind(c(1,2), c(-1,0)) expr <- abs(A) grad(expr) -#> $`1531` +#> $`1540` #> 4 x 4 sparse Matrix of class "dgCMatrix" #> #> [1,] 1 . . . diff --git a/docs/reference/id.html b/docs/reference/id.html index abe8ff6a..06d38b38 100644 --- a/docs/reference/id.html +++ b/docs/reference/id.html @@ -91,9 +91,9 @@

Examples

x <- Variable()
 constr <- (x >= 5)
 id(x)
-#> [1] 1966
+#> [1] 1975
 id(constr)
-#> [1] 1970
+#> [1] 1979
diff --git a/docs/reference/is_dcp.html b/docs/reference/is_dcp.html index 5779d507..bfafa892 100644 --- a/docs/reference/is_dcp.html +++ b/docs/reference/is_dcp.html @@ -89,10 +89,10 @@

Examples

is_dcp(prob) #> [1] TRUE solve(prob) -#> $`2033` +#> $`2042` #> [1] 5 #> -#> $`2038` +#> $`2047` #> [1] 10 #> #> $value @@ -132,8 +132,8 @@

Examples

#> intf_scalar_value(valResult) #> else valResult #> } -#> <bytecode: 0x7fbb13af4670> -#> <environment: 0x7fbb116169b0> +#> <bytecode: 0x7f8a4c480eb8> +#> <environment: 0x7f8a3ed56800> #> #> $getDualValue #> function (objet) @@ -142,14 +142,14 @@

Examples

#> stop("getDualValue: argument should be a Constraint!") #> getValue(objet) #> } -#> <bytecode: 0x7fbb13af6428> -#> <environment: 0x7fbb116169b0> +#> <bytecode: 0x7f8a4c482c70> +#> <environment: 0x7f8a3ed56800> #> #> $solver #> [1] "OSQP" #> #> $solve_time -#> [1] 2.6665e-05 +#> [1] 2.1073e-05 #> #> $setup_time #> [1] NA diff --git a/docs/reference/is_dgp.html b/docs/reference/is_dgp.html index 21432783..b43cead6 100644 --- a/docs/reference/is_dgp.html +++ b/docs/reference/is_dgp.html @@ -90,16 +90,16 @@

Examples

is_dgp(prob) #> [1] TRUE solve(prob, gp = TRUE) -#> $`2064` +#> $`2073` #> [1] 5 #> -#> $`2065` +#> $`2074` #> [1] 5 #> -#> $`2070` +#> $`2079` #> [1] 1 #> -#> $`2076` +#> $`2085` #> [1] 1 #> #> $value @@ -139,8 +139,8 @@

Examples

#> intf_scalar_value(valResult) #> else valResult #> } -#> <bytecode: 0x7fbb13af4670> -#> <environment: 0x7fbb234a7920> +#> <bytecode: 0x7f8a4c480eb8> +#> <environment: 0x7f8a5ac080d8> #> #> $getDualValue #> function (objet) @@ -149,20 +149,20 @@

Examples

#> stop("getDualValue: argument should be a Constraint!") #> getValue(objet) #> } -#> <bytecode: 0x7fbb13af6428> -#> <environment: 0x7fbb234a7920> +#> <bytecode: 0x7f8a4c482c70> +#> <environment: 0x7f8a5ac080d8> #> #> $solver -#> [1] "MOSEK" +#> [1] "ECOS" #> #> $solve_time -#> [1] 0.0001039505 +#> [1] 1.021e-05 #> #> $setup_time -#> [1] NA +#> [1] 9.01e-06 #> #> $num_iters -#> [1] NA +#> [1] 4 #> diff --git a/docs/reference/kl_div.html b/docs/reference/kl_div.html index 797a0110..53692145 100644 --- a/docs/reference/kl_div.html +++ b/docs/reference/kl_div.html @@ -106,18 +106,18 @@

Examples

#> [1] -2.451312 result$getValue(P) #> [,1] -#> [1,] 2.078807e-09 -#> [2,] 2.458762e-09 -#> [3,] 3.965245e-09 -#> [4,] 2.404350e-08 +#> [1,] 1.151280e-09 +#> [2,] 1.707969e-09 +#> [3,] 2.756063e-09 +#> [4,] 5.787514e-09 #> [5,] 5.000000e-01 result$getValue(W) #> [,1] -#> [1,] 1.039364e-08 -#> [2,] 1.084280e-08 -#> [3,] 1.423584e-08 -#> [4,] 5.213990e-08 -#> [5,] 9.999999e-01 +#> [1,] 3.090819e-09 +#> [2,] 3.954698e-09 +#> [3,] 5.908461e-09 +#> [4,] 1.192709e-08 +#> [5,] 1.000000e+00 diff --git a/docs/reference/lambda_max.html b/docs/reference/lambda_max.html index 7769e158..6382c6d0 100644 --- a/docs/reference/lambda_max.html +++ b/docs/reference/lambda_max.html @@ -88,21 +88,21 @@

Examples

prob <- Problem(Minimize(lambda_max(A)), list(A >= 2)) result <- solve(prob) result$value -#> [1] 4 +#> [1] 4.000017 result$getValue(A) -#> [,1] [,2] -#> [1,] 2 2 -#> [2,] 2 2 +#> [,1] [,2] +#> [1,] 1.999999 2.000008 +#> [2,] 2.000008 1.999999 obj <- Maximize(A[2,1] - A[1,2]) prob <- Problem(obj, list(lambda_max(A) <= 100, A[1,1] == 2, A[2,2] == 2, A[2,1] == 2)) result <- solve(prob) result$value -#> [1] 0 +#> [1] -5.015088e-08 result$getValue(A) -#> [,1] [,2] -#> [1,] 2 2 -#> [2,] 2 2 +#> [,1] [,2] +#> [1,] 1.999998 2.000000 +#> [2,] 2.000000 1.999998 diff --git a/docs/reference/lambda_min.html b/docs/reference/lambda_min.html index e9570776..6775d11d 100644 --- a/docs/reference/lambda_min.html +++ b/docs/reference/lambda_min.html @@ -89,7 +89,7 @@

Examples

prob <- Problem(Maximize(lambda_min(A)), list(A == val)) result <- solve(prob) result$value -#> [1] -7.062258 +#> [1] -7.0623 result$getValue(A) #> [,1] [,2] #> [1,] 5 7 diff --git a/docs/reference/lambda_sum_largest.html b/docs/reference/lambda_sum_largest.html index 1547e763..9279c07a 100644 --- a/docs/reference/lambda_sum_largest.html +++ b/docs/reference/lambda_sum_largest.html @@ -93,7 +93,7 @@

Examples

prob <- Problem(Minimize(lambda_sum_largest(C,2)), list(C == val)) result <- solve(prob) result$value -#> [1] 11.51573 +#> [1] 11.5157 result$getValue(C) #> [,1] [,2] [,3] #> [1,] 1 2 3 diff --git a/docs/reference/lambda_sum_smallest.html b/docs/reference/lambda_sum_smallest.html index 62985ad2..470165db 100644 --- a/docs/reference/lambda_sum_smallest.html +++ b/docs/reference/lambda_sum_smallest.html @@ -93,7 +93,7 @@

Examples

prob <- Problem(Maximize(lambda_sum_smallest(C,2)), list(C == val)) result <- solve(prob) result$value -#> [1] -0.3448143 +#> [1] -0.3448257 result$getValue(C) #> [,1] [,2] [,3] #> [1,] 1 2 3 diff --git a/docs/reference/log_det.html b/docs/reference/log_det.html index 990cf5c6..73000b5d 100644 --- a/docs/reference/log_det.html +++ b/docs/reference/log_det.html @@ -96,7 +96,7 @@

Examples

prob <- Problem(obj, constr) result <- solve(prob) result$value -#> [1] 1.974606 +#> [1] 1.974968 diff --git a/docs/reference/log_sum_exp.html b/docs/reference/log_sum_exp.html index 948a5e4d..8d6e2954 100644 --- a/docs/reference/log_sum_exp.html +++ b/docs/reference/log_sum_exp.html @@ -97,9 +97,9 @@

Examples

prob <- Problem(Minimize(log_sum_exp(A)), list(A == val)) result <- solve(prob) result$getValue(A) -#> [,1] [,2] -#> [1,] 5 0 -#> [2,] 7 -3 +#> [,1] [,2] +#> [1,] 5 1.444884e-13 +#> [2,] 7 -3.000000e+00 diff --git a/docs/reference/logistic.html b/docs/reference/logistic.html index e10d2187..e3b7ec24 100644 --- a/docs/reference/logistic.html +++ b/docs/reference/logistic.html @@ -108,1006 +108,1006 @@

Examples

y_probs <- 1/(1 + exp(-X %*% beta_res)) log(y_probs/(1 - y_probs)) #> [,1] -#> [1,] -0.6704566601 -#> [2,] -0.5925155914 -#> [3,] -0.2870297658 -#> [4,] -0.3903425916 -#> [5,] 0.1512533989 -#> [6,] -0.3212308442 -#> [7,] 0.0710815720 -#> [8,] -0.0005972517 -#> [9,] 0.6231543856 -#> [10,] -0.3461542128 -#> [11,] 0.6165907888 -#> [12,] 0.2493802797 -#> [13,] -0.4229470194 -#> [14,] 1.3550590126 -#> [15,] -0.3265597137 -#> [16,] -0.5974060590 -#> [17,] 1.4250937991 -#> [18,] -0.8064117254 -#> [19,] 0.6354245008 -#> [20,] -0.5313297468 -#> [21,] -0.5836826542 -#> [22,] -0.2018604692 -#> [23,] -1.5741079507 -#> [24,] -0.2996817503 -#> [25,] -0.2075326459 -#> [26,] 0.4436962967 -#> [27,] -0.5653426412 -#> [28,] -1.2550595374 -#> [29,] -0.5346239907 -#> [30,] 0.4834049559 -#> [31,] 0.2311018280 -#> [32,] 0.2894463877 -#> [33,] -0.0125268284 -#> [34,] 0.7295741839 -#> [35,] -0.8747089801 -#> [36,] -0.3928902742 -#> [37,] -0.1155668459 -#> [38,] 1.1672435760 -#> [39,] -0.7217417178 -#> [40,] 0.0611243125 -#> [41,] -0.6167645485 -#> [42,] -0.0245103839 -#> [43,] 0.6908204543 -#> [44,] -0.8034455356 -#> [45,] 0.8837094798 -#> [46,] -1.0940587657 -#> [47,] 0.0151093307 -#> [48,] -0.0365091373 -#> [49,] 0.1208098298 -#> [50,] 0.0228335289 -#> [51,] 0.0203841255 -#> [52,] -0.4370865446 -#> [53,] 0.0381300050 -#> [54,] -0.0670260414 -#> [55,] -0.5450479974 -#> [56,] -0.1197495178 -#> [57,] -0.1350421079 -#> [58,] 0.1775461764 -#> [59,] 1.1397934859 -#> [60,] -0.4142561404 -#> [61,] 0.3992984051 -#> [62,] -0.4202125247 -#> [63,] 0.0406907572 -#> [64,] -0.6489089858 -#> [65,] -0.9702903642 -#> [66,] 0.1117445633 -#> [67,] -0.1453568149 -#> [68,] 0.0616516205 -#> [69,] 0.0779096420 -#> [70,] 0.4237417182 -#> [71,] -0.4578309643 -#> [72,] -0.2049702780 -#> [73,] -0.2303885529 -#> [74,] 0.1166963282 -#> [75,] -0.3651955569 -#> [76,] -0.2369500750 -#> [77,] 0.1457228397 -#> [78,] -1.0896406573 -#> [79,] -0.1308710754 -#> [80,] 0.2291674619 -#> [81,] 0.1373238859 -#> [82,] -0.0015643758 -#> [83,] 0.3467565323 -#> [84,] -0.1543888962 -#> [85,] -0.2309014974 -#> [86,] -0.5247106391 -#> [87,] 0.4603747857 -#> [88,] -0.3126465765 -#> [89,] 0.2120047116 -#> [90,] 0.3146963593 -#> [91,] 0.4193015146 -#> [92,] 0.6556778133 -#> [93,] -0.5111104188 -#> [94,] 1.3013236680 -#> [95,] 0.8030124821 -#> [96,] 0.2830361899 -#> [97,] -0.6703954799 -#> [98,] 0.6392057972 -#> [99,] 0.0848836974 -#> [100,] -0.0064337716 -#> [101,] 0.1647458661 -#> [102,] 0.2973106680 -#> [103,] 0.3564182328 -#> [104,] -0.8130441051 -#> [105,] -0.5596560141 -#> [106,] 0.2440618391 -#> [107,] -0.5330512912 -#> [108,] 0.4528402173 -#> [109,] -0.5708931835 -#> [110,] -0.4623969739 -#> [111,] -0.2336890208 -#> [112,] 0.1511207911 -#> [113,] -0.0618991731 -#> [114,] 0.5838949464 -#> [115,] -0.0005892470 -#> [116,] -0.7089720216 -#> [117,] -0.3172697223 -#> [118,] 0.3970567787 -#> [119,] -1.5819880428 -#> [120,] 0.5686251944 -#> [121,] -0.3273432678 -#> [122,] -0.8145940559 -#> [123,] 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-0.3799388947 +#> [593,] 0.7477904615 +#> [594,] -0.1956255577 +#> [595,] -0.4801452438 +#> [596,] -1.1238985849 +#> [597,] -0.1742780742 +#> [598,] 0.7379142724 +#> [599,] -0.3434283752 +#> [600,] -0.1916724538 +#> [601,] 0.5454042452 +#> [602,] 0.5152191528 +#> [603,] -0.0849481841 +#> [604,] -0.9375948660 +#> [605,] 0.0342874958 +#> [606,] -0.6655122644 +#> [607,] 0.1873396431 +#> [608,] -0.0769470189 +#> [609,] 0.0459691971 +#> [610,] -1.1788987151 +#> [611,] 0.3286496384 +#> [612,] -0.0070400147 +#> [613,] 0.0901132142 +#> [614,] -0.6918679066 +#> [615,] -0.4205908632 +#> [616,] 0.4543385287 +#> [617,] -1.0384827514 +#> [618,] 0.1549914894 +#> [619,] 0.0778184015 +#> [620,] 0.7126112773 +#> [621,] -0.4782953289 +#> [622,] 0.0135667163 +#> [623,] 0.4106910313 +#> [624,] -1.0563538650 +#> [625,] -0.9111001349 +#> [626,] 0.4652710955 +#> [627,] 0.0051122323 +#> [628,] -0.7323849608 +#> [629,] 0.1945705798 +#> [630,] 0.1503701506 +#> [631,] -0.4189429445 +#> [632,] -0.1985285669 +#> [633,] 0.3485532230 +#> [634,] -0.2546378116 +#> [635,] 0.1227124060 +#> [636,] -0.1856168231 +#> [637,] 0.2738391861 +#> [638,] 1.0011847180 +#> [639,] 0.4348025436 +#> [640,] -1.6300050791 +#> [641,] 0.2096920008 +#> [642,] 0.0085548659 +#> [643,] 0.8349255332 +#> [644,] -0.3045720720 +#> [645,] 0.6219870464 +#> [646,] -0.2574980996 +#> [647,] 0.0345360903 +#> [648,] 0.0117662361 +#> [649,] -1.4764816664 +#> [650,] -0.1628281251 +#> [651,] -1.2739725109 +#> [652,] 0.8571052232 +#> [653,] 0.1669338597 +#> [654,] -0.5317998231 +#> [655,] -1.0839476904 +#> [656,] -0.3629806704 +#> [657,] 0.2942477118 +#> [658,] -0.7617741397 +#> [659,] -0.1690582890 +#> [660,] 0.4040059630 +#> [661,] -0.3634682308 +#> [662,] -0.8665867243 +#> [663,] -0.0941847556 +#> [664,] 0.5124857752 +#> [665,] 0.3797413950 +#> [666,] 0.4798221425 +#> [667,] -0.5582048932 +#> [668,] 0.3613024842 +#> [669,] 0.5623123407 +#> [670,] 0.1053987295 +#> [671,] 0.8528664883 +#> [672,] 0.3209402321 +#> [673,] -0.2066760528 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+#> [715,] 0.1938560264 +#> [716,] 0.2522142274 +#> [717,] 0.4456445327 +#> [718,] -0.1725846586 +#> [719,] 1.0797327960 +#> [720,] 0.3771526153 +#> [721,] 1.0647433772 +#> [722,] 0.5670939083 +#> [723,] -0.3559597368 +#> [724,] -0.7792898224 +#> [725,] 0.3513300439 +#> [726,] -0.2204943660 +#> [727,] -0.7116200554 +#> [728,] -0.1274145254 +#> [729,] 0.1966053118 +#> [730,] -0.3877990615 +#> [731,] -0.0199316623 +#> [732,] 0.1184647714 +#> [733,] 0.2743340648 +#> [734,] 0.5775245168 +#> [735,] -0.5056918778 +#> [736,] -0.2552296520 +#> [737,] -0.6560361089 +#> [738,] 0.0348108554 +#> [739,] 0.0902894831 +#> [740,] -0.6225193926 +#> [741,] 0.0797149625 +#> [742,] -0.1238041063 +#> [743,] -0.2795944115 +#> [744,] 0.4582740839 +#> [745,] -0.2354778103 +#> [746,] 0.2209597599 +#> [747,] -0.5618322051 +#> [748,] 0.2231077549 +#> [749,] 0.4956505180 +#> [750,] -0.5832124874 +#> [751,] 0.2152663063 +#> [752,] 0.0542765705 +#> [753,] -0.2872030398 +#> [754,] 0.8427003840 +#> [755,] 0.7672822571 +#> [756,] 0.2816524067 +#> [757,] -0.2592054058 +#> [758,] -0.3337061531 +#> [759,] 0.3641843927 +#> [760,] 0.9735534858 +#> [761,] -0.3217715777 +#> [762,] -0.7869853510 +#> [763,] -0.4184688102 +#> [764,] -0.4806400169 +#> [765,] -0.8255718516 +#> [766,] -0.5303009645 +#> [767,] 1.3100789131 +#> [768,] -0.9604239522 +#> [769,] -0.0885800960 +#> [770,] 0.2058098768 +#> [771,] -0.7842676832 +#> [772,] 0.0635070675 +#> [773,] -0.6951055731 +#> [774,] -0.1846506440 +#> [775,] -0.3364020118 +#> [776,] -0.1788615765 +#> [777,] 0.8910682718 +#> [778,] -0.1378251475 +#> [779,] -0.5356144004 +#> [780,] 0.3572921198 +#> [781,] 0.1585389328 +#> [782,] 1.0687573128 +#> [783,] 1.1066432677 +#> [784,] -0.2037566827 +#> [785,] 0.9385980462 +#> [786,] 0.6147342806 +#> [787,] -0.6015520440 +#> [788,] 0.1344300897 +#> [789,] -1.2290185526 +#> [790,] -0.2334262359 +#> [791,] 0.6008786419 +#> [792,] -0.3406629922 +#> [793,] 0.0389005027 +#> [794,] 0.6983189943 +#> [795,] 0.3481428958 +#> [796,] -1.3029336624 +#> [797,] -0.2717512081 +#> [798,] -0.2855208050 +#> [799,] -0.0936096953 +#> [800,] -0.3429607269 +#> [801,] 0.0655799516 +#> [802,] 0.4265553240 +#> [803,] -0.1910354634 +#> [804,] -0.9140365385 +#> [805,] 0.3288517734 +#> [806,] -0.8873996926 +#> [807,] 1.0038504543 +#> [808,] 0.9868570307 +#> [809,] -0.2429694691 +#> [810,] -0.9556442907 +#> [811,] 0.4624245200 +#> [812,] 0.3846153743 +#> [813,] 0.2159116993 +#> [814,] 0.6700864072 +#> [815,] -0.4726018671 +#> [816,] -0.4929653767 +#> [817,] 0.0322210453 +#> [818,] 0.3226476893 +#> [819,] -0.6958711981 +#> [820,] 0.9750728462 +#> [821,] -0.2351565078 +#> [822,] 0.0729409505 +#> [823,] -0.1591467472 +#> [824,] -0.5117435269 +#> [825,] -0.4795227511 +#> [826,] 0.4052784243 +#> [827,] 0.4204429769 +#> [828,] 0.2745394668 +#> [829,] -0.0205303118 +#> [830,] -0.4314195352 +#> [831,] 0.6095072622 +#> [832,] 1.0723185263 +#> [833,] -0.2646044216 +#> [834,] -0.3071233167 +#> [835,] -1.0247807559 +#> [836,] -0.0066204918 +#> [837,] -0.3715145847 +#> [838,] -0.9059915186 +#> [839,] 0.3446669957 +#> [840,] -0.4288263609 +#> [841,] 0.5646944696 +#> [842,] -0.3737786325 +#> [843,] 0.0442057475 +#> [844,] -0.3987185617 +#> [845,] -0.7878972746 +#> [846,] 0.2526626105 +#> [847,] -0.7940436406 +#> [848,] 0.9474149951 +#> [849,] -0.4694352785 +#> [850,] 0.3829034298 +#> [851,] 0.6224261860 +#> [852,] -0.5851169554 +#> [853,] 0.0889088332 +#> [854,] -0.7938975780 +#> [855,] 0.3155416672 +#> [856,] -0.1221265788 +#> [857,] -1.3300548992 +#> [858,] -0.5719364882 +#> [859,] -0.9125857492 +#> [860,] -0.2369407266 +#> [861,] -0.1245172730 +#> [862,] 0.1233036288 +#> [863,] -0.3210583528 +#> [864,] 0.2492075228 +#> [865,] -0.2825158933 +#> [866,] -0.5327058882 +#> [867,] 0.8425517035 +#> [868,] -0.1497259153 +#> [869,] -0.0707899753 +#> [870,] 1.4702681642 +#> [871,] 0.3788538026 +#> [872,] 0.1531724426 +#> [873,] -0.0760096699 +#> [874,] 0.4299993469 +#> [875,] 0.2210187820 +#> [876,] 0.2148708876 +#> [877,] 0.1065695244 +#> [878,] 0.3748531349 +#> [879,] 1.3184073115 +#> [880,] 0.1440823004 +#> [881,] -0.2546922153 +#> [882,] 0.3841652278 +#> [883,] -0.4562342366 +#> [884,] 0.0205493219 +#> [885,] -0.5283206631 +#> [886,] -0.0380588914 +#> [887,] 0.8189316276 +#> [888,] -0.3172821376 +#> [889,] -0.0775267128 +#> [890,] 0.6523400957 +#> [891,] -0.5292097607 +#> [892,] -0.2480769909 +#> [893,] -0.5409444786 +#> [894,] 1.6439086647 +#> [895,] -0.0285487751 +#> [896,] 0.5037646911 +#> [897,] 0.1677123025 +#> [898,] 0.4745209905 +#> [899,] -0.3244949915 +#> [900,] 0.2792996126 +#> [901,] -0.5484100876 +#> [902,] -0.0305754905 +#> [903,] -0.1514649436 +#> [904,] 0.2612468742 +#> [905,] 0.2779371717 +#> [906,] -0.5204706826 +#> [907,] 0.2379749746 +#> [908,] -0.0438162304 +#> [909,] -0.1526783351 +#> [910,] -0.0887352467 +#> [911,] -0.1575918784 +#> [912,] 0.1630604585 +#> [913,] 0.7016946446 +#> [914,] -0.8003516511 +#> [915,] -0.5517600558 +#> [916,] 0.5581670457 +#> [917,] 0.9733683913 +#> [918,] 0.4126730853 +#> [919,] 0.2656304829 +#> [920,] 0.9628328353 +#> [921,] -0.9312316646 +#> [922,] -0.4634586015 +#> [923,] -1.3693199034 +#> [924,] 0.2544530232 +#> [925,] 0.4049772376 +#> [926,] -0.8171518112 +#> [927,] 0.9692900065 +#> [928,] 0.2155699646 +#> [929,] -0.0075315823 +#> [930,] -0.3707555828 +#> [931,] 0.3387206307 +#> [932,] 0.6080841703 +#> [933,] 0.3844807815 +#> [934,] -0.4457093847 +#> [935,] 0.4762933479 +#> [936,] 0.8586817570 +#> [937,] -0.8078277030 +#> [938,] 1.1776395219 +#> [939,] 0.2418611847 +#> [940,] 0.3335469611 +#> [941,] 0.1285094033 +#> [942,] 1.3411924674 +#> [943,] -0.5559121989 +#> [944,] 0.1590980075 +#> [945,] -0.6951377698 +#> [946,] -0.2605448495 +#> [947,] -0.5783587847 +#> [948,] 0.3986757797 +#> [949,] -0.1698486860 +#> [950,] 0.3859007651 +#> [951,] 0.2774557790 +#> [952,] 0.9474644343 +#> [953,] 0.2077114061 +#> [954,] 0.2806239981 +#> [955,] -0.1963328024 +#> [956,] -0.8031186123 +#> [957,] -0.2807564391 +#> [958,] -0.3026833064 +#> [959,] 0.5083380591 +#> [960,] -0.2461755267 +#> [961,] -0.4289317688 +#> [962,] 0.7402412460 +#> [963,] 0.4969588100 +#> [964,] -0.2984665628 +#> [965,] 1.1478428347 +#> [966,] 0.4754793196 +#> [967,] 0.3991800863 +#> [968,] -0.9194506870 +#> [969,] 0.1032765719 +#> [970,] 0.8412981682 +#> [971,] 0.0857694745 +#> [972,] -0.0358832540 +#> [973,] -0.6591553268 +#> [974,] -0.0544410040 +#> [975,] 0.0107344659 +#> [976,] -1.0040422513 +#> [977,] 0.2431234689 +#> [978,] -0.2085816925 +#> [979,] -0.5573606207 +#> [980,] -0.0040655126 +#> [981,] -0.1772558013 +#> [982,] -0.1807489925 +#> [983,] -0.7999637321 +#> [984,] 0.6382119649 +#> [985,] -0.7711653996 +#> [986,] -0.5226131846 +#> [987,] 0.0978385912 +#> [988,] -0.2031616225 +#> [989,] -0.0101070937 +#> [990,] -0.1496920926 +#> [991,] -0.2085600542 +#> [992,] 0.6977999929 +#> [993,] 0.2173160273 +#> [994,] 0.4405235825 +#> [995,] -0.0108877220 +#> [996,] 0.1153986710 +#> [997,] -0.3794053535 +#> [998,] -0.6080007944 +#> [999,] 0.6614830159 +#> [1000,] -0.0739664324 diff --git a/docs/reference/norm_nuc.html b/docs/reference/norm_nuc.html index 878077f8..53477fcf 100644 --- a/docs/reference/norm_nuc.html +++ b/docs/reference/norm_nuc.html @@ -89,7 +89,7 @@

Examples

prob <- Problem(Minimize(norm_nuc(C)), list(C == val)) result <- solve(prob) result$value -#> [1] 23.17326 +#> [1] 23.17332 diff --git a/docs/reference/one_minus_pos.html b/docs/reference/one_minus_pos.html index a836668e..3f8eacc1 100644 --- a/docs/reference/one_minus_pos.html +++ b/docs/reference/one_minus_pos.html @@ -95,9 +95,9 @@

Examples

result$value #> [1] 1 result$getValue(x) -#> [1] 6.332083e-14 +#> [1] 7.801156e-10 result$getValue(y) -#> [1] 0.2 +#> [1] 0.5312489 diff --git a/docs/reference/p_norm.html b/docs/reference/p_norm.html index 5cce249f..275cea37 100644 --- a/docs/reference/p_norm.html +++ b/docs/reference/p_norm.html @@ -112,7 +112,7 @@

Examples

prob <- Problem(Minimize(p_norm(x,2))) result <- solve(prob) result$value -#> [1] 0 +#> [1] -1.104737e-11 result$getValue(x) #> [,1] #> [1,] 0 diff --git a/docs/reference/pf_eigenvalue.html b/docs/reference/pf_eigenvalue.html index 192302e6..ebd25b84 100644 --- a/docs/reference/pf_eigenvalue.html +++ b/docs/reference/pf_eigenvalue.html @@ -104,10 +104,10 @@

Examples

result$value #> [1] 4.702374 result$getValue(X) -#> [,1] [,2] [,3] -#> [1,] 1.0000000 4.636098 1.900000 -#> [2,] 0.4999212 0.800000 0.377743 -#> [3,] 3.2000000 5.900000 1.142219 +#> [,1] [,2] [,3] +#> [1,] 1.0000000 4.636169 1.9000000 +#> [2,] 0.4999174 0.800000 0.3777415 +#> [3,] 3.2000000 5.900000 1.1422148 diff --git a/docs/reference/sum_largest.html b/docs/reference/sum_largest.html index d245ca64..bbead1f2 100644 --- a/docs/reference/sum_largest.html +++ b/docs/reference/sum_largest.html @@ -102,16 +102,16 @@

Examples

result <- solve(prob) result$getValue(beta) #> [,1] -#> [1,] -0.0343461443 -#> [2,] 0.8606400152 -#> [3,] -0.0007471474 -#> [4,] 1.0303675537 -#> [5,] 0.3066423315 -#> [6,] -0.0749035312 -#> [7,] 0.4531070455 -#> [8,] 1.0492884686 -#> [9,] 0.0295552578 -#> [10,] 0.7136916224 +#> [1,] -0.0343459092 +#> [2,] 0.8606400249 +#> [3,] -0.0007470675 +#> [4,] 1.0303678992 +#> [5,] 0.3066417170 +#> [6,] -0.0749039819 +#> [7,] 0.4531071818 +#> [8,] 1.0492876935 +#> [9,] 0.0295555086 +#> [10,] 0.7136919720