PyPI · #1447 most downloaded on PyPI

cvxpy

1.9.37.0M downloads/mocvxpy/cvxpy ↗New releases in your daily digest, changelog included.

A domain-specific language for modeling convex optimization problems in Python.

Last release 15 days ago
19 Sep 2026
Ships fairly regularly
a new release about every 2 months
Nearly every release is documented
notes for 55 of the last 60 stable releases
1 version withdrawn
withdrawn after publishing
12 years old
149 releases · first in 2014

Release timeline

149 releases since 2014

2014201620182020

Releases

1.9.319 Sept 2026
This new release totaled 29 PRs from 12 contributors.
This new release totaled 29 PRs from 12 contributors.

@curious7-web | #3238, #3342, #3460, #3496

@cvanaret | #3461

@dhru189 | #3287

@enzo-boulin | #3466

@HugoDelatte | #3467

@mameikagou | #3492

@nicoloangileri | #3493, #3501

@PTNobel | #3384, #3386, #3387, #3390, #3393, #3398, #3404, #3499, #3532

@ramakrishnap-nv | #3443

@stertingen | #3507

@SteveDiamond | #3488, #3512, #3513

@Transurgeon | #3365, #3366, #3446, #3498

One column per quarter.

1.9.222 Jun 2026

This patch release contains bug fixes and follow-up improvements for CVXPY 1.9.

CVXPY 1.9.2

This patch release contains bug fixes and follow-up improvements for CVXPY 1.9.

Summary

This new release totaled 34 PRs from 7 contributors.

@ghackebeil | #3363
@govindchari | #3411
@Iroy30 | #3351, #3364
@PrathamDesai07 | #3409
@PTNobel | #3349, #3352, #3355, #3356, #3357, #3358, #3370, #3388, #3392, #3394, #3396, #3397, #3399, #3401, #3405, #3406, #3407, #3412, #3413, #3414, #3421
@SteveDiamond | #3376, #3377, #3379, #3380, #3381, #3382
@WilliamZhang20 | #3360, #3415

Open source →

1.9.126 May 2026

This patch release contains bug fixes and follow-up improvements for CVXPY 1.9.

CVXPY 1.9.1

This patch release contains bug fixes and follow-up improvements for CVXPY 1.9.

Summary

This new release totaled 8 PRs from 3 contributors.

@brunoficoxpress | #3334
@PTNobel | #3332, #3335, #3338, #3340, #3341, #3345
@terryweng03 | #3336

Open source →

1.9.018 May 2026

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements.

CVXPY 1.9

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements.

This version of CVXPY supports Python 3.11 through 3.14. We will support CVXPY 1.9 with bugfixes while developing the 1.10 release. CVXPY 1.8 and older are no longer supported.

Disciplined Nonlinear Programming (DNLP)

This release introduces Disciplined Nonlinear Programming (DNLP), a ruleset that extends CVXPY beyond convex optimization to a broad class of nonlinear problems. DNLP canonicalizes nonsmooth functions in the same way as DCP, but allows for general smooth functions to be used otherwise.

To use DNLP, pass nlp=True to problem.solve(...). Supported NLP solvers include IPOPT, KNITRO, UNO, and COPT. See the DNLP tutorial for more details and examples.

Variable bounds

Variable bounds can now be specified with expressions involving parameters, and also support sparse bound arrays (when the variable itself is sparse). Many solvers now natively use variable bounds when they are provided.

DPP for parametric quadratic objectives

quad_form(x, P) with a parametric PSD matrix P is now DPP-compliant on solvers that natively support quadratic objectives, allowing efficient re-solves when only P's value changes.

New features

New solver interface: PDCS
New tutorial: Performance tips
New page: Solver benchmarks
a ** x now works for positive constant a (canonicalized via exp(x * log(a)))
axis argument support for sum_largest and sum_smallest
N-D and tuple-axis support generalized across AxisAtom canonicalizers (max, norm_inf, log_sum_exp, cummax, ...)
Support for zero-sized expressions
Parameter values may now be ±inf
Sparse Cholesky now uses QDLDL

Summary

This new release totaled 124 PRs from 25 contributors.

@armorbreak001 | #3289
@curious7-web | #3176, #3186, #3225, #3277, #3324
@dependabot[bot] | #3081, #3211, #3231, #3271, #3322
@dhru189 | #3204, #3266
@eminyouskn | #3094
@govindchari | #3219, #3296
@goyalpalak18 | #3150, #3159, #3162, #3164, #3165, #3167, #3169, #3174, #3196, #3214, #3220, #3246, #3247, #3252, #3263, #3279
@Iroy30 | #3148
@jberg5 | #3207
@jgvabo | #3258
@lukebrody | #3251
@maxschaller | #3149, #3314, #3315, #3316, #3318, #3319, #3323
@Nikitaa104 | #3192, #3193, #3194, #3222
@PTNobel | #3079, #3080, #3085, #3086, #3087, #3089, #3090, #3091, #3097, #3099, #3103, #3105, #3106, #3113, #3114, #3115, #3116, #3119, #3125, #3126, #3127, #3129, #3136, #3142, #3146, #3147, #3154, #3158, #3163, #3166, #3172, #3173, #3177, #3178, #3179, #3180, #3215, #3223, #3243, #3249, #3250, #3264, #3265, #3267, #3268, #3290, #3297, #3298, #3299, #3313
@raphaelsaavedra | #3302
@rgsl888prabhu | #3295, #3300
@sbarratt | #3111, #3112
@smachen42 | #3197, #3228
@SteveDiamond | #3093, #3098, #3139, #3141, #3143, #3161, #3209, #3232, #3254, #3326
@swastim01 | #3133
@Transurgeon | #3070, #3108, #3217, #3309
@Vivaan-Atharva | #3210, #3269
@warwickmm | #3327
@YichengYang-Ethan | #3256
@zhenweilin | #3104

Open source →

1.8.222 Mar 2026

This is a patch release with bugfixes and solver interface updates.

CVXPY 1.8.2

This is a patch release with bugfixes and solver interface updates.

Bugfixes

Fix a negative axis sum in the Python backends (#3129)
Fix quad_form_canon silently dropping M1 term for indefinite P (#3150)
Fix backward() setting param.gradient to float 0.0 instead of zero ndarray (#3159)
Fix Dgp2Dcp.param_backward KeyError when log-param not in dparams (#3164)
Fix reshape._infer_shape() for N-D shapes with -1 (#3165)
Reject sparse/diag variables with pos/neg attributes (#3106, minimal backport)
Fix DGP pnorm scalar canonicalization promoting p instead of x (#3169)

Solver interface updates

Update Xpress solver interfaces for 9.8 compatibility
Add BOUNDED_VARIABLES support for Xpress solvers

Improvements

Use LDL decomposition instead of eigh in decomp_quad (#3154)

Test fixes

Fix nondeterministic failure in test_highs_validate_column_name (#3097)

This new release totaled 37 PRs from 6 contributors.

@curious7-web | #3176, #3225
@goyalpalak18 | #3150, #3159, #3164, #3165, #3169, #3174, #3196, #3214, #3246, #3247
@jberg5 | #3207
@Nikitaa104 | #3193, #3194
@PTNobel | #3097, #3106, #3119, #3125, #3129, #3136, #3154, #3158, #3166, #3178, #3179, #3180, #3215, #3233, #3243
@SteveDiamond | #3139, #3141, #3143, #3161, #3171, #3209, #3232

Open source →

1.8.13 Feb 2026

This new release totaled 7 PRs from 3 contributors.

PR	Title	Type
#3093	Fix IndexError with transformed parameters in parametric reshape	Bug fix
#3094	Add KNITRO solver installation instructions to documentation	Docs
#3099	Remove Google Analytics from documentation	Docs
#3113	Use balanced tree for PowConeND to PowCone3D decomposition	Bug fix
#3114	Add CVXPY Workshop 2026 website	Docs
#3115	Add HiGHS and Moreau to related projects	Docs
#3116	Fix cvxpy-base dependencies	Bug fix

This new release totaled 7 PRs from 3 contributors.

@eminyouskn | #3094
@PTNobel | #3099, #3113, #3114, #3115, #3116
@SteveDiamond | #3093

Open source →

1.8.027 Jan 2026

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements.

CVXPY 1.8

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements.

This version of CVXPY supports Python 3.11 through 3.14. We will support CVXPY 1.8 with bugfixes while developing the 1.9 release. CVXPY 1.7 and older are no longer supported.

Adoption of SPEC 0

In this release we decided to adopt the minimum supported dependencies SPEC (Scientific Python Ecosystem Coordination). Notably, this means that we have dropped support for Python 3.10 and NumPy < 2.0.

New canonicalization backend

This release introduces a new backend which can handle a very large number of parameters. To use the backend, please specify the argument canon_backend="COO" when solving a DPP problem.

New default MILP solver

CVXPY adds the open source solver HiGHS as its default mixed-integer linear programming (MILP) solver. HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems developed by a team from the University of Edinburgh.

Power cone canonicalization

Four atoms, power, geo_mean, pnorm, and inv_prod now take a parameter approx that determines whether CVXPY canonicalizes the atom using many SOCs or one power cone. Feel free to set approx=False and report on whether it improves performance or accuracy!

Logical boolean operations

CVXPY now supports logical boolean operations on boolean expressions via the cp.logic module. The new atoms are cp.logic.AND, cp.logic.OR, cp.logic.NOT, and cp.logic.XOR.

New features

DPP with complex expressions
Support for ND matmul
Support for ND cumsum
Unification of QP interface into quadratic conic pathway
Solving chain context
New atom: einsum
New atom: stack
New solver interface: MOREAU
New solver interface: KNITRO
New solver interface: COSMO
New solver interface: QPALM
Add num_iters to Gurobi conic solver solution info

Summary

This new release totaled 115 PRs from 35 contributors.

@7astro7 | #2825, #2976
@atx | #2947
@benmanns | #2894
@brunoml5 | #3025
@ClayCampaigne | #2929, #2933, #2935, #2944, #2956
@davidppineiro | #2985
@eminyouskn | #2873, #2887
@ghackebeil | #2888
@govindchari | #2869, #2872, #2901, #2902, #2903, #2906, #2938, #2963, #3028, #3042, #3069, #3073
@jonathanberthias | #3043
@kjgoodrick | #2880
@langestefan | #2886, #2908, #2914
@maxschaller | #3019
@mbataillou | #2940, #2945, #2948, #2957
@MGPowerlytics | #3044
@mlubin | #2892
@NDevanathan | #2970
@Ni2002ka | #2955, #2971, #2999, #3000
@peterbarkley | #3071
@polsinello | #3061
@PTNobel | #2897, #2904, #2950, #2951, #2983, #3024, #3046, #3066, #3082, #3083, #3084, #3088
@RyuGood0 | #2990
@sfetzel | #2987
@stephen-huan | #3021
@SteveDiamond | #3005, #3010, #3012, #3015, #3016, #3017, #3020, #3027, #3031, #3032, #3033, #3034, #3040, #3048, #3049, #3050, #3051, #3052, #3053, #3055, #3062, #3063, #3065, #3075, #3077
@thisisRMak | #2920, #2924, #2925
@tmckayus | #2870, #2918, #2919, #2989
@TobiaMarcucci | #3030
@Transurgeon | #2801, #2857, #2862, #2864, #2878, #2882, #2899, #2960, #2974, #2988, #2993, #3013, #3038, #3076
@tttapa | #2898
@warwickmm | #2913
@yasirroni | #3058

Open source →

1.7.55 Dec 2025

Patch notes 1.7.5 (from #3026 )

Patch notes 1.7.5 (from #3026)

This is a micro patch release which adds a new Moreau Interface.

Link	Type	1.7.x
#3020	Canonicalization	✅
#3021	Documentation	✅
#3024	Solver Interface	✅

Open source →

1.7.424 Nov 2025

Patch notes 1.7.4 (from #3011 )

Patch notes 1.7.4 (from #3011)

This is a micro patch release which fixes many bugs and updates to the documentation.

Link	Type	1.7.x
#3005	Bug Fix	✅
#2993	Tests	✅
#2989	Solver Interface	✅
#2985	Bug Fix	✅
#2976	Error messages	✅
#2974	Solver interface	✅
#2983	Solver interface	✅
#2963	Documentation	✅
#2957	Solver Interface	✅
#2955	Developer tools	✅
#2951	CVXPY(layers/gen) fix	✅
#2950	Revert	✅
#2948	Bug Fix	✅
#2947	Bug Fix	✅
#2945	Solver interface	✅

Open source →

1.7.322 Sept 2025

This is a micro patch release which fixes many bugs and updates to the documentation.

Patch notes 1.7.3

This is a micro patch release which fixes many bugs and updates to the documentation.

Link	Type	1.7.x
#2901	Version bump	✅
#2913	Bug Fix	✅
#2914	Docs	✅
#2919	Solver Interface	✅
#2918	Solver Interface	✅
#2924	Bug Fix	✅
#2929	Docs	✅
#2933	Bug Fix	✅
#2938	Docs	✅

Special shoutout to new contributors: @thisisRMak and @ClayCampaigne !

Open source →

1.7.224 Aug 2025

This is a micro patch release which fixes many bugs and typos.

Patch notes 1.7.2

This is a micro patch release which fixes many bugs and typos.

Link	Type	1.7.x
#2869	Docs	✅
#2870	Setup	✅
#2872	Bug Fix	✅
#2878	CI	✅
#2882	Bug Fix	✅
#2886	Docs	✅
#2888	Solver Interface	✅
#2892	Version Bump	✅
#2894	Docs	✅
#2897	Bug Fix	✅
#2906	Bug Fix	✅
#2908	Bug Fix	✅
#2903	Bug Fix	✅

Open source →

1.7.118 Jul 2025

This is a micro patch release which fixes two bugs from the 1.7.0 release.

Patch notes 1.7.1

This is a micro patch release which fixes two bugs from the 1.7.0 release.

Link	Type	1.7.x	Comment
#2862	Bug Fix	✅
#2864	Bug Fix	✅

Bug fixes

Update SciPy dependency to >= 1.13.0
Fix issue with scalar boolean variables

Open source →

1.7.014 Jul 2025withdrawn: misspecified depedendenciesDeprecated

SciPy is deprecating the sparse matrix API in favor of sparse arrays. See the migration guide here.

CVXPY 1.7

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements.

This version of CVXPY supports Python 3.9 through 3.13. While working on the next release, we continue to officially support CVXPY 1.6.

New GPU solvers

CVXPY begins supporting GPU solvers in this release. The following solvers are supported:

MPAX runs on a GPU device specified by the JAX environment. MPAX, cuOpt, and CuClarabel are new solver interfaces that can be used with CVXPY. SCS has a new backend based on cuDSS that can be used through the existing SCS interface.

Sparse array support

SciPy is deprecating the sparse matrix API in favor of sparse arrays. See the migration guide here.

CVXPY 1.7 supports the new sparse array API but continues to support the sparse matrix API for backwards compatibility.

Update on reshape order

In CVXPY 1.6, we began raising warnings for the default reshape order being Fortran ('F'), which differs from NumPy's default order ('C'). We also mentioned that we would raise an error if the order was not specified in CVXPY 1.7, and switch the default order to 'C' in CVXPY 1.8. However, we have decided to postpone these changes to CVXPY 2.0, the next major release. We believe that raising errors could break existing code and cause confusion among users. We encourage users to continue explicitly specifying the order when using reshape, vec, and flatten atoms.

New features

Multiple attributes for variables and parameters
New QOCO solver interface
New atom: broadcast_to
New atom: transpose(expr, axes)
New atom: swapaxes
New atom: moveaxis
New atom: permute_dims
Add warm-start support for HiGHS
Add warm-start support for PIQP

Summary

This new release totaled 84 PRs from 27 users.

@563925743 | #2683
@akshayka | #2711
@andresliszt | #2634
@bstellato | #2769
@dependabot[bot] | #2638, #2639, #2650, #2659, #2757, #2795, #2819, #2827, #2831, #2832, #2848
@dschult | #2689, #2710
@goulart-paul | #2697, #2737
@govindchari | #2670, #2712, #2719, #2720, #2730, #2744, #2761, #2762, #2763
@jonathanberthias | #2740
@klobucar | #2648
@kydonian | #2796
@kylematoba | #2726
@maxschaller | #2635, #2693, #2694, #2734
@mbataillou | #2745
@mlubin | #2636
@napinoco | #2846
@PTNobel | #2692, #2701, #2702, #2717, #2718, #2803, #2812, #2815, #2839, #2844
@rileyjmurray | #2834, #2847
@RSchwan | #2797
@samuela | #2798
@senhalil | #2691, #2785, #2810, #2838
@smachen42 | #2695
@SteveDiamond | #2647, #2705, #2765, #2778, #2792, #2824
@tasseff | #2714
@Transurgeon | #2361, #2637, #2654, #2658, #2667, #2690, #2724, #2756, #2760, #2768, #2772, #2784, #2805, #2817, #2829
@tschm | #2676, #2678, #2680
@ZedongPeng | #2802

Special shoutout to @PTNobel for leading the integration of GPU solver interfaces into CVXPY.

Open source →

1.6.714 Jul 2025

This is a micro patch release which fixes a few bugs.

Patch notes (from #2859)

This is a micro patch release which fixes a few bugs.

Link	Type	1.6.x
#2829	Bug Fix	✅
#2839	Bug Fix	✅
#2834	Bug Fix	✅
#2838	Bug Fix	✅
#2846	Doc	✅

Bug fixes

Fix issue with duals not working in the HiGHS interface @senhalil @SteveDiamond
Update sparse cholesky expression handling @rileyjmurray
Adds new warning for using .value with sparse leaves @PTNobel

Open source →

1.6.610 Jun 2025

This is a micro patch release which fixes a few bugs and updates solver interfaces.

Patch notes (from #2821)

This is a micro patch release which fixes a few bugs and updates solver interfaces.

Link	Type	1.6.x
#2805	Bug Fix	✅
#2798	Bug Fix	✅
#2797	Interface	✅
#2796	Interface	✅

Bug fixes

support negative axes in sum (and other axis_atoms) @Transurgeon
send logging messages to stderr @samuela

Open source →

1.6.513 Apr 2025

This is a micro patch release which fixes a few bugs and updates solver interfaces.

Patch notes (from #2789)

This is a micro patch release which fixes a few bugs and updates solver interfaces.

Link	Type	1.6.x
#2785	Interface	✅
#2784	Interface	✅
#2778	Bug Fix	✅
#2769	Interface	✅
#2765	Bug Fix	✅
#2763	Interface	✅
#2760	Bug Fix	✅
#2756	Bug Fix	✅

Bug fixes

Fixes issue with broadcasting in constraints. @SteveDiamond
Fixes equality constraints error in QOCO. @govindchari
Fixes highs solver options. @senhalil
Fixes bug with quad_over_lin and use_quad_obj=True. @SteveDiamond
Fixes OSQP polish parameter name (also keeps compatibility with two versions of OSQP). @bstellato @vineetbansal
Fixes issue with infeasible sparse problems. @Transurgeon

Open source →

1.6.416 Mar 2025

This is a micro patch release which adds an interface for QOCO. Notably this release will allow cvxpygen to use the interface and integrate with qocog

Patch notes (from #2748)

This is a micro patch release which adds an interface for QOCO. Notably this release will allow cvxpygen to use the interface and integrate with qocogen.

Link	Type	1.6.x
#2745	Interface	✅
#2724	Interface	✅
#2719	Interface	✅

All three PRs are from @govindchari , author of QOCO.

Open source →

1.6.39 Mar 2025

This is a micro patch release which fixes two bugs.

Patch notes (from #2748)

This is a micro patch release which fixes two bugs.

Link	Type	1.6.x	Comment
#2745	Bug	✅
#2724	Bug	✅

Bug fixes

Fixes issues with broadcasting for >= 3d expressions. Also improved error messages. @Transurgeon @SteveDiamond
Fixes xpress interface for xpress >= 9.5. @mbataillou

Open source →

1.6.226 Feb 2025

This is a micro patch release which fixes two bugs and removes one warning.

Patch notes (from #2738)

This is a micro patch release which fixes two bugs and removes one warning.

Link	Type	1.6.x
#2737	Bug	✅
#2734	Bug	✅
#2726	Warning	✅

Bug fixes

Removes Mosek 11 warnings in interface @kylematoba
fix bug in axis_grad @maxschaller
fix clarabel on parametric update @goulart-paul

Open source →

1.6.120 Feb 2025

Patch notes (from #2716)

Link	Type	1.6.x	Comment
#2630	Interface update	✅
#2634	Bug	✅	Remove bound setter
#2635	Bug	✅
#2636	Interface update	✅	ortools bump
#2691	Docs	✅
#2694	Bug	✅
#2695	Type hints	✅
#2697	Bug	✅	Clarabel fix
#2702	Bug	✅
#2705	Docs	✅
#2711	Docs	✅
#2714	Bug	✅
#2690	Dependency	✅

Bug fixes

The implementation of inv_prod was broken for variables of shape other than 1D. It is now fixed. This may break some code that was previously incorrectly allowed and giving incorrect answers.
The implementation of sparse variables did not allow for maximal efficiency gains. This can now be addressed with the value_sparse attribute.
Clarabel issues for DQCP are now fixed.

Documentation

New set of marimo notebooks for "basic" cvxpy examples. Thanks @akshayka !
Typo in atomic functions table

Open source →

1.6.011 Nov 2024

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements. Th

CVXPY 1.6

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements. This version of CVXPY supports Python 3.9 through 3.13. While working on the next release, we continue to officially support CVXPY 1.5.

Default reshape order warning

CVXPY's default order for array manipulation atoms such as reshape, vec and flatten, is Fortran ('F'). In this release CVXPY raises a warning when no explicit order is specified.

In version 1.7, we plan to raise an error if the order is not specified. Finally, in version 1.8, we will switch the default order from ('F') to ('C') to match NumPy's behavior.

Dropping ECOS dependency

In version 1.5, we changed our default solver from ECOS to Clarabel and announced that we would be removing ECOS as a dependency in 1.6. Despite some regressions in certain DQCP tests, we are moving forward with dropping ECOS in this release. If you are experiencing any issues with Clarabel we encourage you to try using SCS or add ECOS as a dependency to your project.

Features and bug fixes

Added Python 3.13 support and dropped Python 3.8 support
New HiGHS solver interface
New atom: cvar
New atom: cumprod
New atom: quantum_rel_entr
New atom: quantum_cond_entr
New atom: concatenate
Support for N-dimensional variables and expressions for the following operations: - axis atoms like min, max and sum - indexing - elementwise operations
Sparsity attribute for variables
New website and documentation theme based on Sphinx Immaterial
Ability to pass multiple solvers as argument to .solve()
Performance improvement for sum_largest and cumsum
Performance improvement for integer and boolean variables
Improving string representation of special index

Summary

This new release totaled 80 PRs from 24 users, 14 of which are first time contributors :).

@StefRe made their first contribution in https://github.com/cvxpy/cvxpy/pull/2436
@cjerdonek made their first contribution in https://github.com/cvxpy/cvxpy/pull/2454
@timkpaine made their first contribution in https://github.com/cvxpy/cvxpy/pull/2452
@sven-oxionics made their first contribution in https://github.com/cvxpy/cvxpy/pull/2461
@nikkujensen made their first contribution in https://github.com/cvxpy/cvxpy/pull/2469
@alexandercarruthers made their first contribution in https://github.com/cvxpy/cvxpy/pull/2490
@oriyalperin made their first contribution in https://github.com/cvxpy/cvxpy/pull/2450
@GaetanLepage made their first contribution in https://github.com/cvxpy/cvxpy/pull/2508
@jonathanberthias made their first contribution in https://github.com/cvxpy/cvxpy/pull/2542
@matthieubulte made their first contribution in https://github.com/cvxpy/cvxpy/pull/2549
@simonbowly made their first contribution in https://github.com/cvxpy/cvxpy/pull/2541
@davidppineiro made their first contribution in https://github.com/cvxpy/cvxpy/pull/2552
@UweGensheimer made their first contribution in https://github.com/cvxpy/cvxpy/pull/2580
@andresliszt made their first contribution in https://github.com/cvxpy/cvxpy/pull/2597

The list below details all contributions made throughout this new release. Thank you all for your incredible work!

@alexandercarruthers | #2490
@andresliszt | #2597, #2615 (concatenate atom)
@aryamanjeendgar | #2606, #2621
@bkurtz | #2585, #2590 (CI refactor and stdist publishing)
@carlosgmartin | #2608
@chasilvester | #2586
@cjerdonek | #2454
@davidppineiro | #2552 (cvar atom)
@dependabot[bot] | #2443, #2444, #2448, #2455, #2456, #2463, #2468, #2476, #2477
@GaetanLepage | #2508
@jonathanberthias | #2527, #2542
@matthieubulte | #2549
@nikkujensen | #2469
@oriyalperin | #2450
@phschiele | #2481, #2482
@PTNobel | #2538, #2624
@rluce | #2484
@simonbowly | #2541
@sven-oxionics | #2461
@syanga | #2462
@timkpaine | #2452
@Transurgeon | #2392, #2457, #2473, #2475, #2479, #2487, #2488, #2494, #2496, #2500, #2501, #2509, #2524, #2525, #2529, #2532, #2535, #2543, #2546, #2556, #2560, #2561, #2562, #2563, #2564, #2570, #2577, #2578, #2579, #2581, #2582, #2589, #2592, #2593, #2595, #2596, #2601, #2602, #2614, #2616, #2617, #2622
@UweGensheimer | #2580, #2609 (HiGHS interface)
@wujianjack | #2489
@SteveDiamond | many many code reviews

Open source →

1.5.414 Nov 2024

Patch notes (from #2628)

Link	Type	1.5.x
#2541	Bug	✅
#2542	Bug	✅
#2549	Bug	✅
#2609	Bug	✅
#2624	Bug	✅
#2630	Interface update	✅

New backward support policy

This release will be the last one in the 1.5.x series. We plan to no longer support cvxpy versions 1.5.x, where x<4, while we continue working on cvxpy 1.6.x Version 1.5.4 will be the last supported version in the 1.5.x series. In the future, we might update 1.5.4 with backport bug fixes.

Open source →

1.5.318 Aug 2024

@rluce Fixing compatibility between NumPy 2.0 and the Gurobi interface #2484 @Transurgeon Numerous bug fixes @GaetanLepage Improved scipy compatibilit

@rluce Fixing compatibility between NumPy 2.0 and the Gurobi interface #2484 @Transurgeon Numerous bug fixes @GaetanLepage Improved scipy compatibility #2508

Open source →

1.5.218 Jun 2024

This release is the first one compatible with NumPy 2.0. It is backward compatible, i.e., NumPy versions < 2.0 will continue to work.

What's Changed

This release is the first one compatible with NumPy 2.0. It is backward compatible, i.e., NumPy versions < 2.0 will continue to work.

#2475 updating pyproject to support numpy 2.0 (@Transurgeon)
#2461 Fix integer overflow on Windows in TensorRepresentation.flatten_tensor (@sven-oxionics)
#2454 Clarify ECOS_DEP_DEPRECATION_MSG, including how to suppress the warning (@cjerdonek)
#2452 Include minimum necessary meta information in setup.py (@timkpaine)
#2392 Updating numpy.i (cvxcore) swig interface (@Transurgeon)
#2481 [CI] Updates macos version (@phschiele)
various CI updates

Full Changelog: https://github.com/cvxpy/cvxpy/compare/v1.5.1...v1.5.2

Open source →

1.5.111 May 2024

## What's Changed - #2438 Fixes QP canonicalization (@phschiele) - #2436 Fix link in README.md (@StefRe) - #2435 Fix for issue with quad_over_lin para

What's Changed

#2438 Fixes QP canonicalization (@phschiele)
#2436 Fix link in README.md (@StefRe)
#2435 Fix for issue with quad_over_lin parameters (@SteveDiamond)
#2441 Adds back DGP + DPP quad_over_lin (@phschiele)

Full Changelog: https://github.com/cvxpy/cvxpy/compare/v1.5.0...v1.5.1

Open source →

1.5.09 May 2024Deprecated

ECOS deprecation progress #2388, #2391 @PTNobel @Transurgeon

CVXPY 1.5

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements. This version of CVXPY supports Python 3.8 through 3.12. While working on the next release, we continue to officially support CVXPY 1.5 and 1.4.

This release may not be compatible with NumPy 2.0.

ECOS deprecation

CVXPY has used ECOS as the default solver for many years; however, it has known issues with performance and numerical stability in edge cases. Recently, a new solver, Clarabel, that improves the algorithm and implementation of ECOS has been under development.

In this release, CVXPY uses Clarabel instead of ECOS for all categories of problems where ECOS was previously the default.

In 1.6, we plan to no longer install ECOS as a CVXPY dependency. We have no plans to remove support for calling ECOS as a solver.

We encourage you to try and use Clarabel instead, but if you're dependent on ECOS's exact behavior please explicitly specify it as a solver and as a dependency for your project.

Features and bug fixes

Major updates to the documentation, adding a number of new sections to the User Guide and breaking up the monolithic Advanced features page [Many PRs] @Transurgeon
Added .curvatures containing all curvatures an expression is compatible with #1540 @sunnygurm
Variable bounds can be specified with cp.Variable(bound=(lower, upper)) and are directly passed to the solver when helpful. lower and upper can be either a NumPy array or floating point number. #2234, #2321 @Paulnkk, @SteveDiamond
Constants can be named by writing cp.Constant(name='...') #2335 @SteveDiamond
Added a new atom, vdot, that has the same behavior as scalar_product #2371 @Transurgeon
CVXPY runs in the next PyOdide release via wasm #2363, #2382 @phschiele
Added or-tools 9.9 support #2316 @mlubin
Major rewrite to the PDLP interface #2252 @mlubin
Dropped MOSEK <= 9 support and upgraded the MOSEK integration code #2326 @aszekMosek
Improved HIGHS solver stats #2333 @bstellato
Removes pybind11 as runtime dep #2334 @phschiele
Quadratic objectives in NAG solver #2339 @chasilvester
DAQP solver interface #2312 @enzbus
Adds solver_verbose #2354 @hailiangliu89
ECOS deprecation progress #2388, #2391 @PTNobel @Transurgeon
Improved type annotations #2304 @sunnygurm
Adds save_file to COPT interface #2393 @wujianjack
Setup dependabot #2369 @tschm
Many many infrastructure PRs @phschiele
Fixes doc deploy #2331 @PTNobel
Modernized build-system and metadata #2276 #2277 @mkoeppe
Uses oldest-supported-numpy #2291 @enzbus
Fix keep dims for min atom #2431 @allenlawrence94
Reduce memory consumption for sum(list) #2428 @phschiele
Fix convolve when used with parameters #2427 @SteveDiamond
Fix nuclear norm gradient for non-square inputs #2426 @SteveDiamond
Improve XPRESS interface #2425 #2288 @phschiele
Fix DQCP bugs with parameters #2424 @SteveDiamond
Warning for creating constants from nested lists #2423 @phschiele
Preserve sign in minimum and maximum #2420 @zacharyweiss
Resolves deprecation warnings in the SDPA interface #2350 @usamamuneeb
Starts NumPy 2.0 support #2319 @phschiele
Fixes counting of constraints #2303 @PTNobel

Open source →

1.4.410 May 2024

## What's Changed - #2411 value.A is deprecated (@chofchof) - #2420 Preserve expression sign in canonicalization of minimum and maximum (@zacharyweiss

What's Changed

#2411 value.A is deprecated (@chofchof)
#2420 Preserve expression sign in canonicalization of minimum and maximum (@zacharyweiss)
#2423 Adds warning for constants from nested lists (@phschiele)
#2425 New XPRESS API (@phschiele)
#2427 Fix convolve bug (@SteveDiamond)
#2424 Fix DQCP bugs (@SteveDiamond)
#2426 Fix nuclear norm gradient for non-square inputs (@SteveDiamond)
#2428 Reduce memory consumption for sum(list) (@phschiele)
#2431 Fix keep dims for min atom (@allenlawrence94)
#2332 Implements inplace mutation error (@PTNobel)
#2432 Updates notable contributors (@PTNobel)
#2438 Fixes QP canonicalization (@phschiele)
#2436 Fix link in README.md (@StefRe)
#2435 Fix for issue with quad_over_lin parameters (@SteveDiamond)
#2441 Adds back DGP + DPP quad_over_lin (@phschiele)

Full Changelog: https://github.com/cvxpy/cvxpy/compare/v1.4.3...v1.4.4

Open source →

1.4.316 Apr 2024

This is a patch release for 1.4. The patch includes a variety of fixes:

What's Changed

#2351 Fix invalid escape sequences in docstrings (@befelix)
#2338 Improving the Gurobi integration by supporting further error codes (@jmarecek)
#2358 Removes deprecated scipy_wrapper.py (@PTNobel)
#2356 Redirect model output to Python instead of Terminal (@anmolsahoo25)
#2406 [Bug] Parametrized quad form broken when values are zero (@phschiele)

Full Changelog: https://github.com/cvxpy/cvxpy/compare/v1.4.2...v1.4.3

Open source →

1.4.219 Jan 2024

This is a patch release for 1.4. The patch includes a variety of fixes:

SCIP return solution if [total]nodelimit hit (https://github.com/cvxpy/cvxpy/pull/2279) Update swig autogenerated files to swig 4.1.1 (https://github.com/cvxpy/cvxpy/pull/2273) Update contributing docs to reflect usage of ruff over flake8/isort (https://github.com/cvxpy/cvxpy/pull/2302) Change some O(n) lookups in scip_conif.py to O(1) (https://github.com/cvxpy/cvxpy/pull/2313) Avoid sparse matrix multiply for identity matrix (https://github.com/cvxpy/cvxpy/pull/2315) Restore Mosek 9 compatibility (https://github.com/cvxpy/cvxpy/pull/2325) Reformatting the installation page (https://github.com/cvxpy/cvxpy/pull/2268) Updating NAG website links in doc (https://github.com/cvxpy/cvxpy/pull/2299) Fix Gurobi interface issues (https://github.com/cvxpy/cvxpy/pull/2300) Use new NumPy API (https://github.com/cvxpy/cvxpy/pull/2319) Fixing links to cvx_short_course (https://github.com/cvxpy/cvxpy/pull/2264)

Open source →

1.4.112 Oct 2023

This is a patch release for 1.4. The patch includes fixes from several contributors:

@goulart-paul Change conic solver preference order (#2259) @maxschaller Include use_quad_obj in cache (#2262)

Open source →

1.4.09 Oct 2023Deprecated

The CVXPY atom conv is inconsistent with NumPy's convolve functions. We are deprecating it, but have no plans to remove it in the short term. We encou…

This release is consistent with our semantic versioning guarantee. It comes packed with many new features, bug fixes, and performance improvements. This version of CVXPY supports Python 3.8 through 3.12, and is our first release that supports Python 3.12. While working on the next release, we continue to officially support CVXPY 1.3 and 1.4.

New features

New atom: convolve
New atom: mean
New atom: outer
New atom: ptp
New atom: std
New atom: var
New atom: vec_to_upper_tri
Adds methods to CVXPY expressions that are found on NumPy ndarrays such as .sum(), .max(), and .mean()
New solver interface: PIQP
Adds SDP support to the Clarabel interface
Added support for OR-Tools 9.7
Removed support for OR-Tools 9.4
PowerConeND now supports extracting its dual variables
reshape now supports using -1 as a dimension, with the same meaning it has in NumPy
Indexing CVXPY expressions with floats now raises an appropriate error
Clearer error messages for a number of common errors
The perspective atom now supports s=0
Performance improvements in the SCIPY backend
Performance improvements in canonicalizing parameterized QPs
Performance improvements for quadratic forms with sparse matrices
Greater support for static typing

ECOS deprecation

In 1.5, CVXPY plans to start using Clarabel instead of ECOS by default for some categories of problems. In 1.6, we plan to no longer install ECOS as a CVXPY dependency. We have no plans to remove support for calling ECOS as a solver. As part of this transition, in 1.4 CVXPY will raise a warning whenever ECOS is called by default. We encourage you to try and use Clarabel instead, but if you're dependent on ECOS's exact behavior please explicitly specify it as a solver.

`conv` deprecation

The CVXPY atom conv is inconsistent with NumPy's convolve functions. We are deprecating it, but have no plans to remove it in the short term. We encourage all users to use the CVXPY atom convolve instead.

`NonPos` deprecation

The NonPos cone uses the opposite dual variable sign convention as the rest of the CVXPY cones and a constraint of NonPos(expr) is the same as a constraint on NonNeg(-expr). We are deprecating NonPos, but have no plans to remove it in the short term. We encourage users to switch to using NonNeg.

Contributors

This release would not have been possible without the contributions of many CVXPY users and developers. Across 29 contributors and 116 PRs, we would like to thank the following people for their contributions to this release (in alphabetical order):

@akshayka | #2105
@allenlawrence94 | #2080, #2103
@alxhslm | #2046
@aryamanjeendgar | #2171, #2192, #2204, #2241
@aszekMosek | #2017, #2029
@bkurtz | #1821
@carlosgmartin | #2246, #2250
@cbonet | #2173, #2175
@dcajasn | #2131, #2152
@goulart-paul | #2108
@h-vetinari | #1998
@jlchen0 | #2028
@michaels0m | #2085
@mkoeppe | #2118
@mlubin | #2169, #2251
@Paulnkk | #2069, #2073, #2078, #2084, #2086, #2096, #2117, #2119, #2137, #2144, #2179
@phschiele | #2008, #2009, #2049, #2053, #2054, #2061, #2063, #2088, #2094, #2113, #2120, #2127, #2141, #2146, #2156, #2161, #2164, #2185, #2196, #2206, #2219, #2220, #2221, #2245, #2247, #2249, #2253
@pragmaticTNT | #2057
@PTNobel | #2058, #2081, #2172, #2188, #2207, #2238, #2248, #2254, #2255
@r-barnes | #1697
@rileyjmurray | #2001, #2123, #2125, #2139, #2155
@RSchwan | #2190
@samuel-adekunle | #2016
@sdementen | #2056
@SteveDiamond | #2007, #2022, #2041, #2043, #2047, #2060, #2067, #2071, #2079, #2110, #2111, #2126, #2130, #2159, #2160, #2183, #2225, #2226, #2232, #2233, #2244
@Transurgeon | #2044, #2091, #2186, #2213, #2215, #2223, #2224, #2230, #2239
@usamamuneeb | #2097, #2116, #2147
@wfan19 | #2157
@wujianjack | #2134

Special shoutout to our Google Summer of Code interns @aryamanjeendgar and @Transurgeon!

Open source →

1.3.419 Apr 2024

@syanga made their first contribution in https://github.com/cvxpy/cvxpy/pull/2415

What's Changed

#2351 Fix invalid escape sequences in docstrings (@befelix)
#2338 Improving the Gurobi integration by supporting further error codes (@jmarecek)
#2358 Removes deprecated scipy_wrapper.py (@PTNobel)
#2356 Redirect model output to Python instead of Terminal (@anmolsahoo25)

New Contributors

@syanga made their first contribution in https://github.com/cvxpy/cvxpy/pull/2415

Full Changelog: https://github.com/cvxpy/cvxpy/compare/v1.3.3...v1.3.4

Open source →

1.3.322 Jan 2024

Nothing published for this version

1.3.227 Jun 2023

This is a patch release for 1.3. The patch includes fixes from many contributors:

@phschiele Introduce ruff linter (#2049)
@Paulnkk Fix scip timelimit no solution (#2084)
@phschiele Adds devcontainer support (#2088)
@rileyjmurray Correct categorization of tr_inv atom. (#2123)
@dcajasn Fixes to PowCone3D and updates to test_conic_solvers.py (#2131)
@Paulnkk Fix rare bugs in curvature calculation: non-psd diagonal matrices and starting vectors in eigsh (#2086)
@wujianjack Map imprecise status to optimal_inaccurate (#2134)
@SteveDiamond Fix bug with calling Mosek simplex solver (#2126)
@SteveDiamond Fix conv and add convolve (#2047)
@allenlawrence94 fix: scipy time limit raises SolverError (#2080)
@bkurtz CBC interface: add ability to configure the underlying CLP solver (#1821)
@SteveDiamond remove github banner (#2160)
@SteveDiamond Update scipy_wrapper (#2159)
@phschiele PR benchmark against base branch (#2161)

Open source →

1.3.118 Mar 2023

This is a patch release for 1.3. The patch includes fixes from many contributors:

@phschiele New deepcopy semantics https://github.com/cvxpy/cvxpy/pull/2053 @Transurgeon Typo fix in documentation https://github.com/cvxpy/cvxpy/pull/2044 @SteveDiamond Fix Mosek power cone https://github.com/cvxpy/cvxpy/pull/2043 @aszekMosek Clean up Mosek parameter settings https://github.com/cvxpy/cvxpy/pull/2029 @jlchen0 Fix p-norm issue with DGP problems https://github.com/cvxpy/cvxpy/pull/2028 @SteveDiamond Unpin setuptools https://github.com/cvxpy/cvxpy/pull/2022 @aszekMosek Attach Mosek log handler before inputting data https://github.com/cvxpy/cvxpy/pull/2017 @samuel-adekunle Update atomic functions docs https://github.com/cvxpy/cvxpy/pull/2016 @phschiele Build wheels on push https://github.com/cvxpy/cvxpy/pull/2008 @phschiele aarch64 wheels https://github.com/cvxpy/cvxpy/pull/2054 @phschiele Keep sparsity for PSD constraints in Mosek interface https://github.com/cvxpy/cvxpy/pull/2063 @SteveDiamond Fix issue with matrix multiplication involving quad https://github.com/cvxpy/cvxpy/pull/2067 @PTNobel Adds error on floats as indices https://github.com/cvxpy/cvxpy/pull/2058 @phschiele Improved PSD check message https://github.com/cvxpy/cvxpy/pull/2009 @SteveDiamond Fix bug with quadratic objective and power atom https://github.com/cvxpy/cvxpy/pull/2060 @rileyjmurray Remove ill-posed xexp test case https://github.com/cvxpy/cvxpy/pull/2001

Open source →

1.3.03 Jan 2023Breaking

we do not consider replacing cvxpy.power, which is currently a class, with a function to be a breaking change or replacing cp.quad_form which is a fun…

CVXPY 1.3

This release marks our first minor release since the introduction of semantic versioning in March 2022. It comes packed with many new features, bug fixes, and performance improvements. This version of CVXPY supports Python 3.7 through 3.11, and is our first release that supports Python 3.11. While working on the next release, we continue to officially support CVXPY 1.2 and 1.3, and will backport important bug fixes to 1.1, if feasible.

New features

New atoms:
- dotsort
- tr_inv
- von_neumann_entr
- perspective
Support for native quadratic forms (x.T @ P @ x)
New solver interfaces: COPT, SDPA, Clarabel, proxqp
A new SciPy-based backend
New constraints:
- FiniteSet
- RelEntrConeQuad
- OpRelEntrConeQuad
... and many more!

Other big developments

The new OpRelEntrConeQuad constraint class is the first major piece of our effort to improve support for quantum information modeling (GSOC project)
Continuous performance benchmarking (GSOC project)

API changes

Moving forward, the public API of CVXPY is considered to be everything that is importable directly from the cvxpy namespace. We plan to introduce a cvxpy.experimental namespace for features in development where the API has not yet been fixed. It is explicitly not a part of our API whether atoms are implemented by functions or classes, e.g. we do not consider replacing cvxpy.power, which is currently a class, with a function to be a breaking change or replacing cp.quad_form which is a function to become a class to be a breaking change. Code of the form cvxpy.power(a, b) is guaranteed to remain working.

Community

We were thrilled to see the CVXPY community grow since our last release. In GitHub issues and the increasingly utilized GitHub discussions, we saw a lot of great reports and questions. Reaching almost 1000 members, the CVXPY Discord has become a great place to ask questions and get quick help. It was great to meet some of you at SciPy 2022 and ICCOPT 2022.

Planned projects

A major upcoming project is an overhaul of the web documentation, making it more modern, structured, and interactive. For this, we received a NumFOCUS Small Development Grant and are currently looking for a web developer to help us with the implementation. Email us at cvxpydevs@gmail.com if interested.

Contributors

This release would not have been possible without the contributions of many CVXPY users and developers. Across 30 contributors and 95 PRs, we would like to thank the following people for their contributions to this release (in alphabetical order):

@aryamanjeendgar | #1740, #1789, #1833, #1875, #1899
@BehrouzSohrabi | #1966
@Brown2345 | #1754
@chrisyeh96 | #1814, #1861, #1862
@dcajasn | #1897
@ericlux | #1869, #1867
@fabinsch | #1882, #1894
@goulart-paul | #1888
@h-vetinari | conda-forge PR #75
@imcjp | #1822
@JiaxinWang-thu | #1720
@jlchen0 | #1986
@joycebrum | #1892, #1927
@KerimovEmil | #1871
@merraksh | #1935
@Michael-123123 | #1793
@mkoeppe | #1707, #1705, #1719, #1727
@mlubin | #1859, #1872
@parthb83 | #1768, #1810, #1798
@phschiele | #1748, #1783, #1725, #1792, #1804, #1803, #1838, #1839, #1846, #1851, #1874, #1852, #1887, #1893, #1896, #1922, #1931, #1840, #1933, #1937, #1936, #1929, #1979
@piiq | #1951
@r-barnes | #1693
@rileyjmurray | #1733, #1736, #1738, #1866, #1977, #1976, #1978, #1984, #1987
@rluce | #1962
@roberthuisman | #1854
@SteveDiamond | #1689, #1757, #1761, #1794, #1802, #1807, #1796, #1818, #1820, #1829, #1835, #1844, #1856, #1880, #1885, #1886, #1877, #1898, #1909
@tasseff | #1830
@usamamuneeb | #1769
@wujianjack | #1836
@yasirroni | #1744, #1745, #1756

Special thanks to @michaels0m for numerous discussions about the new backend.

Open source →

1.2.58 Aug 2023

This is a patch release for 1.2. The patch includes fixes from many contributors:

@SteveDiamond Fix conv and add convolve (#2047)
@allenlawrence94 fix: scipy time limit raises SolverError (#2080)
@Paulnkk Fix scip timelimit no solution (#2084)
@phschiele Adds devcontainer support (#2088)
@dcajasn Fixes to PowCone3D and updates to test_conic_solvers.py (#2131)
@Paulnkk Fix rare bugs in curvature calculation: identity matrices and nondeterministic starting vectors in eigsh (#2086)
@SteveDiamond Fix bug with calling Mosek simplex solver (#2126)
@rileyjmurray CBC interface: add ability to configure the underlying CLP solver (#1821)
@SteveDiamond Remove github banner (#2160)
@SteveDiamond Update scipy_wrapper (#2159)

Open source →

1.2.423 Mar 2023

This is a patch release for 1.2. The patch includes fixes from many contributors:

@SteveDiamond Fix cvxpy base deployment https://github.com/cvxpy/cvxpy/pull/2071 @Transurgeon Typo fix in documentation https://github.com/cvxpy/cvxpy/pull/2044 @SteveDiamond Fix Mosek power cone https://github.com/cvxpy/cvxpy/pull/2043 @aszekMosek Clean up Mosek parameter settings https://github.com/cvxpy/cvxpy/pull/2029 @jlchen0 Fix p-norm issue with DGP problems https://github.com/cvxpy/cvxpy/pull/2028 @SteveDiamond Unpin setuptools https://github.com/cvxpy/cvxpy/pull/2022 @samuel-adekunle Update atomic functions docs https://github.com/cvxpy/cvxpy/pull/2016 @phschiele Build wheels on push https://github.com/cvxpy/cvxpy/pull/2008 @SteveDiamond Fix issue with matrix multiplication involving quad https://github.com/cvxpy/cvxpy/pull/2067 @PTNobel Adds error on floats as indices https://github.com/cvxpy/cvxpy/pull/2058 @rileyjmurray Remove ill-posed xexp test case https://github.com/cvxpy/cvxpy/pull/2001 @h-vetinari Fixes for 1.3.0 https://github.com/cvxpy/cvxpy/pull/1998

Open source →

1.2.327 Dec 2022

This is a patch release for 1.2. The patch includes bug fixes from many contributors:

@phschiele @h-vetinari SciPy 1.9 compatibility https://github.com/cvxpy/cvxpy/pull/1931

@piiq Pin setuptools version https://github.com/cvxpy/cvxpy/pull/1951

@rileyjmurray Make log_det robust https://github.com/cvxpy/cvxpy/pull/1866

@rluce Adapt to API changes in gurobipy https://github.com/cvxpy/cvxpy/pull/1962

@rileyjmurray Correct handling of KNOWN_SOLVER_ERRORS https://github.com/cvxpy/cvxpy/pull/1984

@rileyjmurray Bugfixes related to complex2real https://github.com/cvxpy/cvxpy/pull/1978

@rileyjmurray More bugfixes related to complex2real https://github.com/cvxpy/cvxpy/pull/1987

Open source →

1.2.24 Nov 2022

This is a patch release for 1.2. The patch includes bug fixes from many contributors:

@mlubin Fix time_limit_sec for GLOP and PDLP #1859

@fabinsch Fix OSQP warm start https://github.com/cvxpy/cvxpy/pull/1882

@SteveDiamond Switch SCS timings to seconds https://github.com/cvxpy/cvxpy/pull/1880

@phschiele Allow deepcopy of constraints https://github.com/cvxpy/cvxpy/pull/1852

@phschiele Fix linters https://github.com/cvxpy/cvxpy/pull/1851

@rileyjmurray @SteveDiamond @phschiele Fix SOC residual https://github.com/cvxpy/cvxpy/pull/1844

@SteveDiamond Fix bug with diff https://github.com/cvxpy/cvxpy/pull/1835

@akshayka @SteveDiamond Fix DQCP issue with sign function https://github.com/cvxpy/cvxpy/pull/1829

@SteveDiamond Minor test formatting fix https://github.com/cvxpy/cvxpy/pull/1886

@SteveDiamond New SCIP interface https://github.com/cvxpy/cvxpy/pull/1898

@phschiele Allow lists as shapes https://github.com/cvxpy/cvxpy/pull/1922

@roberthuisman Fix gradient for multidimensional quad form https://github.com/cvxpy/cvxpy/pull/1854

@KerimovEmil Add edge case handling for string inputs into norm https://github.com/cvxpy/cvxpy/pull/1871

Open source →

1.2.116 May 2022

CVXPY 1.2.1 is a patch release (i.e., a bugfix release) in the 1.2.X release series. Special thanks to @mkoeppe for his contribution!

Changes since 1.2.0:

Web documentation updates (#1731).
More web doc updates (#1732).
Fix sign error with log_sum_exp (#1689).
Handle new CyLP statuses from https://github.com/coin-or/CyLP/pull/150 (#1707), from @mkoeppe.
Fix TypeError in GLOP and PDLP interfaces (#1736).
Update error message for mixed-integer problems (#1738).
Propagate SCIP interface bugfix from PR (#1739).

Open source →

1.2.09 Mar 2022

This release marks a big milestone in CVXPY's development. It's the first time we've incremented the minor version number since releasing CVXPY 1.1 in

CVXPY 1.2

This release marks a big milestone in CVXPY's development. It's the first time we've incremented the minor version number since releasing CVXPY 1.1 in June 2020. Since then we've added many new features and improved CVXPY's efficiency in important ways. A summary of those changes -- including many which were released with little fanfare between CVXPY 1.1.1 and 1.1.18 -- can be found on cvxpy.org. Changes specific to CVXPY 1.2 include:

Four new and improved "atoms" for use in optimization modeling: xexp, partial_trace, partial_transpose, and kron. The latter three atoms significantly expand CVXPY's modeling capabilities for matrix representations of tensor products; they'll be especially useful for quantum information applications.
Two new interfaces to numerical solvers. CVXPY can now interface with Google OR Tools to call GLOP and PDLP.
Support for Python versions 3.7 to 3.10.

We've also grown in ways that can't be seen from changes to source code alone. We've adopted open governance principles, become a NumFOCUS affiliated project, and -- starting this week -- we're adopting semantic versioning.

Semantic versioning

Our adoption of semantic versioning will fundamentally change the way we approach CVXPY's maintenance and development. The most observable change is that new features will only be released in major or minor releases, as opposed to patch releases. Since CVXPY receives new feature contributions on a regular basis, that means you can expect minor releases from us much more often: multiple times per year instead of once in two years. It also means we'll support multiple minor-release series at any given time. Right now we provide bugfix support for CVXPY 1.1 and 1.2. Once CVXPY 1.3 comes out later this year, we'll provide bugfix support for CVXPY 1.1, 1.2, and 1.3.

While this approach creates more work for day-to-day maintenance, it has two major benefits:

It gives us space to heavily refactor CVXPY's back-end for improved efficiency in the future. This will be important for CVXPY users who want to scale their convex optimization workflows to larger and more sophisticated problems.
It makes it easier for us to publicly recognize and encourage CVXPY's many volunteer contributors. This is crucial for the long-term health of CVXPY as an open-source software project.

Our adoption of semantic versioning is an ongoing process. Stay tuned for announcements on our Discord server, website, or Twitter for more information.

Who made this possible?

CVXPY 1.2.0 includes contributions from 15 people across more than 25 pull requests. In no particular order, those contributors are

@phschiele (PRs #1607, #1617, #1624, #1628)
@xinyueshen (PR #1660)
@allenlawrence94 (PR #1621)
@lochsh (PR #1677)
@PTNobel (PR #1648)
@Michael-git96 (PR #1684)
@chrisyeh96 (PR #1616)
@TimonKnigge (PRs #1637, #1646)
@dcajasn (PR #1640)
@parthb83 (PRs #1641, #1683)
@mlubin (PRs #1655, #1682)
@AtsushiSakai (PR #1665)
@h-vetinari (for conda-forge PR 68)
@SteveDiamond (PRs #1606, #1659, #1669)
@rileyjmurray (PRs #1598, #1643, #1670, #1688)

Among those listed above, we would like to call special attention to @phschiele, @Michael-git96, and @dcajasn -- each of whom has made contributions to CVXPY prior to version 1.1.18. Those recurring contributions are instrumental to CVXPY's success.

On behalf of the CVXPY project maintainers, Riley Murray CC: @akshayka @SteveDiamond, @bstellato

Open source →

1.1.249 Aug 2023

This is a patch release for 1.1. The patch includes fixes from many contributors:

@SteveDiamond Fix conv and add convolve (#2047)
@allenlawrence94 fix: scipy time limit raises SolverError (#2080)
@Paulnkk Fix scip timelimit no solution (#2084)
@phschiele Adds devcontainer support (#2088)
@dcajasn Fixes to PowCone3D and updates to test_conic_solvers.py (#2131)
@Paulnkk Fix rare bugs in curvature calculation: identity matrices and nondeterministic starting vectors in eigsh (#2086)
@SteveDiamond Fix bug with calling Mosek simplex solver (#2126)
@rileyjmurray CBC interface: add ability to configure the underlying CLP solver (#1821)
@SteveDiamond Remove github banner (#2160)
@SteveDiamond Update scipy_wrapper (#2159)

Open source →

1.1.2323 Mar 2023

This is a patch release for 1.1. The patch includes fixes from many contributors:

@SteveDiamond Fix cvxpy base deployment https://github.com/cvxpy/cvxpy/pull/2071 @Transurgeon Typo fix in documentation https://github.com/cvxpy/cvxpy/pull/2044 @SteveDiamond Fix Mosek power cone https://github.com/cvxpy/cvxpy/pull/2043 @aszekMosek Clean up Mosek parameter settings https://github.com/cvxpy/cvxpy/pull/2029 @jlchen0 Fix p-norm issue with DGP problems https://github.com/cvxpy/cvxpy/pull/2028 @SteveDiamond Unpin setuptools https://github.com/cvxpy/cvxpy/pull/2022 @samuel-adekunle Update atomic functions docs https://github.com/cvxpy/cvxpy/pull/2016 @phschiele Build wheels on push https://github.com/cvxpy/cvxpy/pull/2008 @SteveDiamond Fix issue with matrix multiplication involving quad https://github.com/cvxpy/cvxpy/pull/2067 @PTNobel Adds error on floats as indices https://github.com/cvxpy/cvxpy/pull/2058 @h-vetinari Fixes for 1.3.0 https://github.com/cvxpy/cvxpy/pull/1998

Open source →

1.1.2227 Dec 2022

This is a patch release for 1.1. The patch includes bug fixes from many contributors:

@phschiele @h-vetinari SciPy 1.9 compatibility https://github.com/cvxpy/cvxpy/pull/1931

@piiq Pin setuptools version https://github.com/cvxpy/cvxpy/pull/1951

@rileyjmurray Make log_det robust https://github.com/cvxpy/cvxpy/pull/1866

@rluce Adapt to API changes in gurobipy https://github.com/cvxpy/cvxpy/pull/1962

@rileyjmurray Bugfixes related to complex2real https://github.com/cvxpy/cvxpy/pull/1978

@rileyjmurray More bugfixes related to complex2real https://github.com/cvxpy/cvxpy/pull/1987

Open source →

1.1.214 Nov 2022