Release notes
v0.15.3 (February 11, 2023)
- Add support for LDLFactorizations v0.10 #496.
- Replace
randn(m, 1)
withrandn(m)
to be more Julian #498. - Add support for indexing expressions with
CartesianIndex
#500.
v0.15.2 (August 10, 2022)
- Add support for LDLFactorizations v0.9 #493.
- Fix use of deprecated functions from
AbstractTrees
#494.
v0.15.1 (March 28, 2022)
v0.15.0 (March 2, 2022)
Breaking changes
- Minimum required version of Julia is now v1.6
- Updated to MathOptInterface v1.0
- As a consequence, many previously deprecated solver calls may stop working. For example, instead of
() -> SCS.Optimizer(verbose = 0)
, useMOI.OptimizerWithAttributes(SCS.Optimizer, "verbose" => 0)
.
- As a consequence, many previously deprecated solver calls may stop working. For example, instead of
v0.14.18 (November 14, 2021)
- Fix typo in
logisticloss
for length-1 expressions which caused errors (reported in #458, fixed in #469).
v0.14.17 (November 14, 2021)
- Updated to become compatible with MathOptInterface v0.10, which enables compatibility with the latest version of many solvers (#467, #468).
v0.14.16 (September 25, 2021)
- Improve numerical stability when evaluating
logsumexp
(#457). Thanks@JinraeKim
!
v0.14.15 (September 15, 2021)
- Use sparse factorization for checking for positive semi-definiteness in
quadform
when possible (#457). Thanks@mtanneau
! - Add
assume_psd=false
argument to skip checking for positive semi-definiteness inquadform
(#456).
v0.14.14 (September 8, 2021)
- Increase the tolerance used in checking if a matrix is positive-semi definite in
quadform
(#453). Thanks@numbermaniac
!
v0.14.13 (July 25, 2021)
- fix
quadform
for positive semi-definite matrices (fixes a regression introduced in v0.14.11 that required strictly positive semi-definite inputs) #450.
v0.14.12 (July 19, 2021)
- fix size of result of
evaluate
onIndexAtom
s #448. Thanks@hurak
!
v0.14.11 (July 5, 2021)
- fix
quadform
in the complex case #444. Thanks@lrnv
!
v0.14.10 (May 20, 2021)
- declare compatibility with BenchmarkTools v1.0 #441
v0.14.9 (May 18, 2021)
- fix some tests in
lp_dual_abs_atom
#439. Thanks@moehle
!
v0.14.8 (May 4, 2021)
- a complete port of cvxquad thanks to
@dstahlke
, yielding new functionsquantum_relative_entropy
,quantum_entropy
,trace_logm
,trace_mpower
, andlieb_ando
, and conesGeomMeanHypoCone
,GeomMeanEpiCone
, andRelativeEntropyEpiCone
(#418). Thanks a ton for the awesome contribution@dstahlke
!
v0.14.7 (April 22, 2021)
- declare compatibility with BenchmarkTools v0.7 #434
v0.14.6 (March 28, 2021)
- Use
MOI.instantiate
to create the optimizer, which allows users to pass anMOI.OptimizerWithAttributes
to configure solver settings #431. Thanks@odow
!
v0.14.5 (March 14, 2021)
- allow
sumlargest(x,k)
,sumsmallest(x,k)
, andsumlargesteigs(x,k)
fork=0
(simply returnsConstant(0)
). (#429).
v0.14.4 (March 14, 2021)
- fixed a bug where the values of variables were being converted to
Float64
even if the problem was solved in high precision. (#427).
v0.14.3 (March 10, 2021)
- update compatibility bounds for BenchmarkTools 0.6
v0.14.2 (February 15, 2021)
- added lasso, ridge, and elastic net regression examples (#420). Thanks to
@PaulSoderlind
!
v0.14.1 (January 24, 2021)
- there was a bug causing
conj
to act in-place (reported in #416), which has been fixed (#417). This bug appears to have existed since the introduction ofconj
in Convex.jl v0.5.0.
v0.14.0 (January 17, 2021)
Breaking changes
- Changes to the
sign
of atoms:- The sign of
sumlargesteigs
has been changed fromPositive()
toNoSign()
, to allow non-positive-semidefinite inputs (#409). This has the potential to break code that required that sign to be positive. If you run into this problem, please file an issue so we can figure out a workaround. - The sign of
eigmin
andeigmax
has been changed fromPositive()
toNoSign()
(#413). This is a bugfix because in generaleigmin
andeigmax
do not need to return a positive quantity (for non-positive-semidefinite inputs). Again, this has the potential to break code that required that sign to be positive. If you run into this problem, please file an issue so we can figure out a workaround.
- The sign of
- Removal of deprecations:
lambdamin
andlambdamax
has been deprecated toeigmin
andeigmax
since Convex v0.13.0. This deprecation has been removed, so your code must be updated to calleigmin
oreigmax
instead (#412).norm(x, p)
wherex
is a matrix expression has been deprecated toopnorm(x,p)
since Convex v0.8.0. This deprecation has been removed, so your code must be updated to callopnorm(x, p)
instead (#412). Currently,norm(x,p)
for a matrix
x
will error, but in Convex.jl v0.15.0 it will returnnorm(vec(x), p)
.Convex.clearmemory()
has been deprecated and unnecessary since Convex v0.12.5. This deprecation has been removed, so if this function is in your code, just delete it (#412).vecnorm(x, p)
has been deprecated tonorm(vec(x), p)
since Convex v0.8.0. This deprecation has been removed, so your code must be updated to callnorm(vec(x),p)
instead (#412).
- Other changes:
Convex.DCP_WARNINGS
was introduced in Convex v0.13.1 to allow turning off Convex.jl's DCP warnings. This has been removed in favor of the functionConvex.emit_dcp_warnings()
(Commit 481fa02).
Other changes
- updated
nuclearnorm
andsumlargesteigs
to allow complex variables, and allow the argument ofsumlargesteigs
to be non-positive-semi-definite (#409). Thanks to@dstahlke
!
v0.13.8 (December 2, 2020)
- add unary
+
forSign
andComplexSign
to allow single-argumenthcat
andvcat
to work (#405). Thanks to@dstahlke
!
v0.13.7 (September 11, 2020)
- fix #403 by adding the keyword argument
silent_solver
tosolve!
.
v0.13.6 (September 8, 2020)
- fix #401 by allowing
diagm(x)
.
v0.13.5 (August 25, 2020)
- fix #398 by allowing
fix!
'd variables inquadform
.
v0.13.4 (July 27, 2020)
- You can now create your own variable types by subtyping
AbstractVariable
. See the docs for more information. You can also add constraints directly to a variable usingadd_constraint!
(#358). - Accessors
vexity(x::Variable)
,sign(x::Variable)
, andevaluate(x::Variable)
should now be the preferred way to access properties of a variable; likewise useset_value!
to set the initial value of a variable (#358). - To create integer or binary constraints, use the
VarType
enum (e.g.Variable(BinVar)
). Access or set this viavartype
andvartype!
(#358).
v0.13.3 (March 22, 2020)
- Make
add_constraint!
actually add the constraint to the problem.
v0.13.2 (March 14, 2020)
- Add
Convex.MAXDIGITS
. Thanks to@riccardomurri
!
v0.13.1 (March 6, 2020)
v0.13.0 (February 28, 2020)
Major changes
- The intermediate layer has changed from MathProgBase.jl to MathOptInterface.jl (#330). To solve problems, one should pass a MathOptInterface optimizer constructor, such as
SCS.Optimizer
, orMOI.OptimizerWithAttributes(SCS.Optimizer, "verbose" => 0)
. lambdamin
andlambdamax
have been deprecated in favor ofeigmin
andeigmax
(#357).- Many "internal" functions and types are no longer exported, such as the atoms, types corresponding to constraints and vexities, etc. (#357).
evaluate(x::Variable)
andevaluate(c::Constant)
now return scalars and vectors as appropriate, instead of(1,1)
- and(d,1)
-matrices (#359). This affects functions which used to return(1,1)
-matrices; e.g., nowevaluate(quadform(...))
yields a scalar.