Update dependency cvxpy to v1.9.1

[renovate]

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Age	Confidence
cvxpy	1.5.3 → 1.9.1

---

Release Notes

cvxpy/cvxpy (cvxpy)

v1.9.1: CVXPY 1.9.1

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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

v1.9.0: CVXPY 1.9.0

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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

v1.8.2: CVXPY 1.8.2

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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

v1.8.1

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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

v1.8.0

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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

v1.7.5

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Patch notes 1.7.5 (from #​3026)

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

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

v1.7.4

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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	Comment
#​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	✅

v1.7.3

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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	Comment
#​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 !

v1.7.2: v.1.7.2

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Patch notes 1.7.2

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

Link	Type	1.7.x	Comment
#​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	✅

v1.7.1

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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

v1.7.0

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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
• cuOpt
• CuClarabel
• SCS, with the cuDSS backend

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.

v1.6.7

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Patch notes (from #​2859)

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

Link	Type	1.6.x	Comment
#​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

v1.6.6

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Patch notes (from #​2821)

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

Link	Type	1.6.x	Comment
#​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

v1.6.5

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Patch notes (from #​2789)

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

Link	Type	1.6.x	Comment
#​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

v1.6.4

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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	Comment
#​2745	Interface	✅
#​2724	Interface	✅
#​2719	Interface	✅

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

v1.6.3

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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

v1.6.2

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Patch notes (from [#&#820

✂ Note

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