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Paper Citation Record · LEDGER

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.08506.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08506 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:27.529240Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy24
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e16be9d7-10ad-4305-96f1-55ff57811e05 · outbound

This paper cites Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 76de4335-3374-43a5-afd9-c1962909ba78 · outbound

This paper cites an unresolved cited work.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Unresolved cited work

Reference 2

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Observation 4daac793-f4bf-4a5a-aac2-3fd5c6a263ad · outbound

This paper cites Projected Newton methods for optimization problems with simple con- straints.SIAM Journal on Control and Optimization, 20(2):221–246, 1982.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Projected Newton methods for optimization problems with simple con- straints.SIAM Journal on Control and Optimization, 20(2):221–246, 1982

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 14750d0b-050d-4567-b0c7-8e951536050f · outbound

This paper cites Nonlinear programming.Journal of the Operational Research Society, 48(3):334–334, 1997.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Nonlinear programming.Journal of the Operational Research Society, 48(3):334–334, 1997

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c267ae15-c201-4340-8396-b04967721f7e · outbound

This paper cites Academic press, 2014.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Academic press, 2014

Reference 5

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Observation 52a1dd1f-230d-4f64-9c74-166ade6eefad · outbound

This paper cites Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023

Reference 6

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Source-reported events for the cited work

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Observation 91e38455-b649-4ad0-ac69-df9a87a4d929 · outbound

This paper cites Cambridge University Press, 2004.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Cambridge University Press, 2004

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.246856Z digest=sha256:dd90e986db03e4448c2909f50f2ed3320b2e46c33189a5d3662104e4f981b0df

Observation 9f833ce9-923d-4f4d-b8a0-110468bf1081 · outbound

This paper cites On the field of values of a matrix.Proceedings of the American Mathematical Society, 12:61–66, 1961.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the field of values of a matrix.Proceedings of the American Mathematical Society, 12:61–66, 1961

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.259474Z digest=sha256:eae70ef4c5da8535c3a1517aec79fc54cc8519cfac2868fa93da6041a7599622

Observation 9635febb-7395-4ff4-9575-e8548efe4e53 · outbound

This paper cites On the copositive representation of binary and continuous nonconvex quadratic programs.Mathematical Programming, 120(2):479–495, 2009.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the copositive representation of binary and continuous nonconvex quadratic programs.Mathematical Programming, 120(2):479–495, 2009

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5f7884f-d613-42de-a5ad-182d2998c831 · outbound

This paper cites MOS-SIAM Series on Optimization, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization MOS-SIAM Series on Optimization, 2022

Reference 10

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3e50ac05-fb4c-4cd9-b106-f6a00d0055e2 · outbound

This paper cites On the evaluation complexity of composite function minimization with applications to nonconvex nonlinear programming.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the evaluation complexity of composite function minimization with applications to nonconvex nonlinear programming

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.288426Z digest=sha256:159c7444087297f48e397b1be9cc9e2b8041f7d3f17593a471f5d62c106aa4b9

Observation fece937b-24a4-4508-9dbe-4d4909756d46 · outbound

This paper cites On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 144(1):93–106, 2014.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 144(1):93–106, 2014

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9500f6a9-4a1d-45d7-a4aa-c8bd5db3c8d3 · outbound

This paper cites A near-optimal primal-dual method for off-policy learning in cmdp.Advances in Neural Information Processing Systems, 35:10521–10532, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A near-optimal primal-dual method for off-policy learning in cmdp.Advances in Neural Information Processing Systems, 35:10521–10532, 2022

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.306193Z digest=sha256:8d9e2d4db01a6dcef83f4635bc82a4c5b9662b3dbba53c504a02cfcb1a2feda0

Observation d50a27fc-288b-49ba-b04a-cfef982c7cf8 · outbound

This paper cites MOS-SIAM Series on Optimization, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization MOS-SIAM Series on Optimization, 2022

Reference 14

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raw_fallback, observed 2026-08-07T05:26:28.617826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.313437Z digest=sha256:549f489f145fef47adb16756354f704e6174b0bc7a4d41a2c8ab71bd95395ab4

Observation b02229b2-d3cf-4cb7-a798-47557be635c1 · outbound

This paper cites Approximation of the stability number of a graph via copositive programming.SIAM Journal on Optimization, 12(4):875–892, 2002.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Approximation of the stability number of a graph via copositive programming.SIAM Journal on Optimization, 12(4):875–892, 2002

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ae29e84-5acd-4f95-8d2c-0a26d7dfe0e7 · outbound

This paper cites Constrained composite optimization and augmented Lagrangian methods.Mathematical Programming, 201(1):863– 896, 2023.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Constrained composite optimization and augmented Lagrangian methods.Mathematical Programming, 201(1):863– 896, 2023

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.332438Z digest=sha256:623bc20f6c9508a70229bc232f991443d97e0f31eef50fc227ac6309989e35a7

Observation d6a497f7-5c1a-46f2-9179-d66886608efe · outbound

This paper cites Copositive programming – a survey.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Copositive programming – a survey

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.343154Z digest=sha256:be711a8e2b9a518905642d22185ee572d4d38bac984082eaf4f3589a7fea0cc0

Observation 9b3144f7-4c47-48fa-8a5a-f79dcd5087df · outbound

This paper cites Barrier Algorithms for Constrained Non-Convex Optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Barrier Algorithms for Constrained Non-Convex Optimization

Reference 18

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local_arxiv, observed 2026-08-07T05:26:27.969042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.351596Z digest=sha256:31e00e40c72d7dc77f8587baf9de8f8cf6177f42503fbd694193d74cff83aaf7

Observation 4aa98d4e-889f-452d-84ee-132af2b6566a · outbound

This paper cites On the complexity of an augmented Lagrangian method for nonconvex optimization.IMA Journal of Numerical Analysis, 41(2):1546–1568, 2021.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the complexity of an augmented Lagrangian method for nonconvex optimization.IMA Journal of Numerical Analysis, 41(2):1546–1568, 2021

Reference 19

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no resolver link, observed 2026-08-07T05:26:27.358024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.358024Z digest=sha256:e3c5e0935e25f6e052ffeff8584dff92226f363f76d52a7a7c6d8aaef22f2cca

Observation 195f694b-d795-4d41-a3c9-60941af4ffb5 · outbound

This paper cites Safe Zeroth-Order Optimization Using Quadratic Local Approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe Zeroth-Order Optimization Using Quadratic Local Approximations

Reference 20

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local_arxiv, observed 2026-08-07T05:26:27.913323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 71f08c1c-96f1-43d3-8835-d6e274fdd3ab · outbound

This paper cites Safe zeroth- order convex optimization using quadratic local approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe zeroth- order convex optimization using quadratic local approximations

Reference 21

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raw_fallback, observed 2026-08-07T05:26:28.446698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.377466Z digest=sha256:82880334722f85581d33167cb4db25af98c6b7205ed0bf76cd0bfabbd29d14f5

Observation b44a2a54-280d-4ee7-8a9d-f96524f1d646 · outbound

This paper cites Safe Zeroth-Order Optimization Using Linear Programs.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe Zeroth-Order Optimization Using Linear Programs

Reference 22

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local_arxiv, observed 2026-08-07T05:26:27.809350Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 957bc969-b566-4555-9672-3a277b012a87 · outbound

This paper cites an unresolved cited work.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d06c7c10-9aa6-43a6-9e36-65a2df635517 · outbound

This paper cites Rate-improved inex- act augmented Lagrangian method for constrained nonconvex optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Rate-improved inex- act augmented Lagrangian method for constrained nonconvex optimization

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation afa32485-72cb-4d0f-aa4e-768badfb6850 · outbound

This paper cites Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational Optimization and Applications, 82(1):175–224, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational Optimization and Applications, 82(1):175–224, 2022

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.410124Z digest=sha256:4ab0a6f53899b19b0534616ee4e75555b05568e6f47df0ff00a7915260f1beb4

Observation c03f5237-f489-487a-8fa5-b82f2e8a473a · outbound

This paper cites A level-set method for convex opti- mization with a feasible solution path.SIAM Journal on Optimization, 28:3290–3311, 2018.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A level-set method for convex opti- mization with a feasible solution path.SIAM Journal on Optimization, 28:3290–3311, 2018

Reference 26

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raw_fallback, observed 2026-08-07T05:26:28.293412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.423779Z digest=sha256:25507bcb09b783b2c43a6730743701edafa8855effa1fbbc7a23db868085e5c8

Observation ad426628-4ada-44e8-930d-9e3b5847126b · outbound

This paper cites On Brickman’s theorem.Journal of Convex Analysis, 12:139– 143, 2005.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On Brickman’s theorem.Journal of Convex Analysis, 12:139– 143, 2005

Reference 27

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raw_fallback, observed 2026-08-07T05:26:28.257454Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ffb45dce-a7c9-4fc1-9238-c55f77ab1c72 · outbound

This paper cites Kluwer Academic Publishers, 2004.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Kluwer Academic Publishers, 2004

Reference 28

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raw_fallback, observed 2026-08-07T05:26:28.215089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5a718a57-c484-4b92-8e61-940ac4a958ad · outbound

This paper cites Springer, 2018.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Springer, 2018

Reference 29

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no resolver link, observed 2026-08-07T05:26:27.452174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.452174Z digest=sha256:0010cfd4f362d25bc7f5a4e101ad309b4859a26f38e032c1e69200313ae821d8

Observation 0bb53b02-439d-4e86-9cd6-3c10050ad97f · outbound

This paper cites Springer, 1999.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Springer, 1999

Reference 30

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raw_fallback, observed 2026-08-07T05:26:28.159270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.459646Z digest=sha256:66b0c3cc77428b4402de54c21505cafcf197faf483140c1f40d75747536c7dcc

Observation b6065c6d-0491-4779-a276-9d46561ac752 · outbound

This paper cites Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.469671Z digest=sha256:8a40e6632a10d9b92b8a11354517b8b1f77fb3753fa30d58abbb67f810fbe731

Observation 00be3379-2e69-41ff-9b53-2b65d0dd56a2 · outbound

This paper cites Constrained non-convex optimization via stochastic variance reduced approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Constrained non-convex optimization via stochastic variance reduced approximations

Reference 32

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raw_fallback, observed 2026-08-07T05:26:28.119955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.478679Z digest=sha256:07b6fa879c4c36c6534ca55b28d28476f29dbd77680ce1e32dce47e76411aed0

Observation 986225fd-f6be-4631-af01-2ec4ad70c339 · outbound

This paper cites An inexact augmented lagrangian framework for nonconvex optimization with nonlinear constraints.Ad- vances in Neural Information Processing Systems, 32, 2019.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization An inexact augmented lagrangian framework for nonconvex optimization with nonlinear constraints.Ad- vances in Neural Information Processing Systems, 32, 2019

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:28.082818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.484578Z digest=sha256:6b4798cd6b9c40e894b024ae2e5bca364b02e5c12973f78de000b470b1ac3959

Observation 3013009b-f1aa-4a3d-9475-552d5eee97a6 · outbound

This paper cites On cones of nonnegative quadratic functions.Mathematics of Operations Research, 28:246–267, 2003.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On cones of nonnegative quadratic functions.Mathematics of Operations Research, 28:246–267, 2003

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:28.050748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.492355Z digest=sha256:71f66f4126f8c2e5ad4152027e236cebf84db7519645b48a5b6a369bcf29866f

Observation 87b6499e-0757-4cfe-8617-7db3f9c6d450 · outbound

This paper cites Novel Optimization Techniques for Parameter Estimation.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Novel Optimization Techniques for Parameter Estimation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:26:27.734650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.507046Z digest=sha256:4e12b8ab4fdadbed6b036439eca86c4f02ede3d009c917f2f3d5f3ea029f8dfc

Observation 2cc98ee6-5e16-47ed-a332-213106c1e477 · outbound

This paper cites Solving convex smooth function constrained optimization is as almost easy as unconstrained optimization.arXiv preprint arXiv:2210.05807, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Solving convex smooth function constrained optimization is as almost easy as unconstrained optimization.arXiv preprint arXiv:2210.05807, 2022

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:27.519072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.519072Z digest=sha256:a5ed4b92bbd4aebb9b6972a6bb8f7a6d6abc671e9bc25602b26b622e28c4b2f9

Observation 39be0815-ae79-4ecc-9218-d47f16aaad3c · outbound

This paper cites A first-order primal-dual method for nonconvex constrained optimization based on the augmented Lagrangian.Mathematics of Operations Research, 49(1):1–651, 2024.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A first-order primal-dual method for nonconvex constrained optimization based on the augmented Lagrangian.Mathematics of Operations Research, 49(1):1–651, 2024

Reference 37

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:26:28.010412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:26:27.529240Z digest=sha256:315c95968c98cbaef78eca248836364f0b700e33fd8caf3b08599904c3082270

Pith citing papers

No inbound Pith citation observations are available.