Prep for v1.24.0 (#3935)

Author: odow

Project.toml

@@ -1,7 +1,7 @@
 name = "JuMP"
 uuid = "4076af6c-e467-56ae-b986-b466b2749572"
 repo = "https://github.com/jump-dev/JuMP.jl.git"
-version = "1.23.6"
+version = "1.24.0"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

docs/Project.toml

@@ -48,14 +48,14 @@ Wavelets = "29a6e085-ba6d-5f35-a997-948ac2efa89a"
 tectonic_jll = "d7dd28d6-a5e6-559c-9131-7eb760cdacc5"
 
 [compat]
-CDDLib = "=0.9.4"
+CDDLib = "=0.10.0"
 CSV = "0.10"
-Clarabel = "=0.9.0"
+Clarabel = "=0.10.0"
 Clustering = "0.15.7"
-DSP = "0.7.10"
+DSP = "0.8.0"
 DataFrames = "1"
 DifferentiationInterface = "0.6.5"
-DimensionalData = "=0.29.6"
+DimensionalData = "=0.29.12"
 Distributions = "0.25"
 Documenter = "=1.8.0"
 DocumenterCitations = "1"
@@ -75,7 +75,7 @@ LinearOperatorCollection = "2.0.7"
 Literate = "2.8"
 MarkdownAST = "0.1"
 MathOptInterface = "=1.35.2"
-MultiObjectiveAlgorithms = "=1.3.4"
+MultiObjectiveAlgorithms = "=1.3.5"
 PATHSolver = "=1.7.8"
 ParametricOptInterface = "0.8.1"
 Plots = "1"

docs/packages.toml

@@ -127,10 +127,10 @@
     rev = "6d165e8e8f59b14e36e99c8efb19f0e775bbd292"
 [CDDLib]
     user = "JuliaPolyhedra"
-    rev = "v0.9.4"
+    rev = "v0.10.0"
 [Clarabel]
     user = "oxfordcontrol"
-    rev = "v0.9.0"
+    rev = "v0.10.0"
     has_html = true
 [COPT]
     user = "COPT-Public"
@@ -167,26 +167,26 @@
     rev = "v0.2.5"
 [MadNLP]
     user = "MadNLP"
-    rev = "v0.8.4"
+    rev = "v0.8.5"
     has_html = true
 [MAiNGO]
     user = "MAiNGO-github"
     rev  = "v0.2.2"
 [Manopt]
     user = "JuliaManifolds"
-    rev = "v0.5.3"
+    rev = "v0.5.5"
     filename = "Readme.md"
 [MathOptAI]
     user = "lanl-ansi"
-    rev = "v0.1.6"
+    rev = "v0.1.7"
     extension = true
 [MathOptSymbolicAD]
     user = "lanl-ansi"
     rev = "aabf987fb1e25f68053390b6a44716cb28a881b0"
     extension = true
 [Optim]
     user = "JuliaNLSolvers"
-    rev = "v1.9.4"
+    rev = "v1.11.0"
 [OSQP]
     user = "osqp"
     rev = "v0.8.1"
@@ -207,12 +207,12 @@
     has_html = true
 [SCIP]
     user = "scipopt"
-    rev = "v0.12.1"
+    rev = "v0.12.2"
 [SDDP]
     user = "odow"
-    rev = "v1.10.1"
+    rev = "v1.10.4"
     has_html = true
     extension = true
 [Tulip]
     user = "ds4dm"
-    rev = "v0.9.6"
+    rev = "438a77b7e08b9233365603c1089cf4002e3f507c"

docs/src/changelog.md

@@ -7,6 +7,31 @@ CurrentModule = JuMP
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## Version 1.24.0 (February 4, 2025)
+
+### Added
+
+ - Added [`assert_is_solved_and_feasible`](@ref) (#3925)
+
+### Fixed
+
+ - Fixed [`primal_feasibility_report`](@ref) with non-`Float64` number types
+   (#3913)
+ - Fixed a bug with `copy(model)` if it contained a registered expression that
+   did not contain a variable (#3934)
+
+### Other
+
+ - Document danger of using `Threads.threadid` (#3909)
+ - Remove `@warn` from `operator_warn` (#3911)
+ - Use `tectonic_jll` in the PDF build of the docs (#3914)
+ - Various improvements to docstrings (#3916) (#3927) (#3932)
+ - Fixed year in this changelog (#3926)
+ - Fixed the documentation to exclude Gurobi if built from a fork (#3919)
+ - Update `docs/Project.toml` (#3928)
+ - Remove documentation section on time-to-first-solve (#3929)
+ - Suggest [`add_to_expression!`](@ref) in performance tips (#3930)
+
 ## Version 1.23.6 (January 6, 2025)
 
 ### Fixed

docs/src/tutorials/transitioning/transitioning_from_matlab.jl

@@ -368,14 +368,13 @@ function robustness_jump(d)
     rho = random_state_pure(d^2)
     id = LinearAlgebra.Hermitian(LinearAlgebra.I(d^2))
     rhoT = LinearAlgebra.Hermitian(partial_transpose(rho, 1, [d, d]))
-    model = Model()
+    model = Model(Clarabel.Optimizer)
+    set_attribute(model, "verbose", false)
     @variable(model, λ)
     @constraint(model, PPT, rhoT + λ * id in HermitianPSDCone())
     @objective(model, Min, λ)
-    set_optimizer(model, Clarabel.Optimizer)
-    set_attribute(model, "verbose", true)
     optimize!(model)
-    assert_is_solved_and_feasible(model)
+    assert_is_solved_and_feasible(model; allow_almost = true)
     WT = dual(PPT)
     return value(λ), real(LinearAlgebra.dot(WT, rhoT))
 end
@@ -393,7 +392,7 @@ robustness_jump(3)
 #     rhoT = PartialTranspose(rho, 1, [d d]);
 #     lambda = sdpvar;
 #     constraints = [(rhoT + lambda*eye(d^2) >= 0):'PPT'];
-#     ops = sdpsettings(sdpsettings, 'verbose', 1, 'solver', 'sedumi');
+#     ops = sdpsettings(sdpsettings, 'verbose', 0, 'solver', 'sedumi');
 #     sol = optimize(constraints, lambda, ops);
 #     if sol.problem == 0
 #         WT = dual(constraints('PPT'));