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Paper Citation Record · LEDGER

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions

As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.05917.

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

pith.paper-citation-record.v1
2509.05917 v1

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measured 32 of 32 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation 45d416ba-6c5e-4184-8304-d661afe18f50 · outbound

This paper cites A Simplex Method for Function Minimization.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A Simplex Method for Function Minimization

Reference 1

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Observation efdba521-39b3-4618-91ca-027db231add5 · outbound

This paper cites Model-free power optimization of wind farm based on nelder-mead method.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Model-free power optimization of wind farm based on nelder-mead method

Reference 2

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Observation 602a4f28-d00f-4a3c-bbf1-bb644aa52fb0 · outbound

This paper cites A modified downhill simplex algorithm interpolation response surface method for structural reliability analy- sis.Eng Comput, 37(4):1423–1450, 2020.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A modified downhill simplex algorithm interpolation response surface method for structural reliability analy- sis.Eng Comput, 37(4):1423–1450, 2020

Reference 3

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Observation 7a4dd716-7e72-45fe-8237-59c981060124 · outbound

This paper cites An optimization method for frame structure of unmanned helicopter based on empirical 17 optimization and downhill simplex method.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions An optimization method for frame structure of unmanned helicopter based on empirical 17 optimization and downhill simplex method

Reference 4

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Observation b7b0f082-0c8c-4ffe-8b5c-038ccb8ef50b · outbound

This paper cites Optimization of the hy- drological tank model by downhill simplex method.Int J Civ Eng, 18:1433–1450, 2020.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Optimization of the hy- drological tank model by downhill simplex method.Int J Civ Eng, 18:1433–1450, 2020

Reference 5

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Observation bc8c28ad-a75a-41c8-901f-0e3ce461f11e · outbound

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rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Unresolved cited work

Reference 6

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1fefabc1-fa3b-4243-bb14-886c96158acf · outbound

This paper cites Multi- parameter optimization of lime composite design using a modified downhill simplex method.Compos Part B-Eng, 93:184–189, 2016.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Multi- parameter optimization of lime composite design using a modified downhill simplex method.Compos Part B-Eng, 93:184–189, 2016

Reference 7

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Observation 57ee8d9f-42a8-4b80-96d5-5b806aa4372a · outbound

This paper cites Multi-startdownhillsimplexmethodforspatio-temporalsourcelocaliza- tion in magnetoencephalography.Electroencephalogr Clin Neurophysiol, 108(1):32–44, 1998.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Multi-startdownhillsimplexmethodforspatio-temporalsourcelocaliza- tion in magnetoencephalography.Electroencephalogr Clin Neurophysiol, 108(1):32–44, 1998

Reference 8

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 64488ad5-91da-4b42-ad3c-6d693bec788a · outbound

This paper cites Detection and remediation of stagnation in the nelder– mead algorithm using a sufficient decrease condition.SIAM J.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Detection and remediation of stagnation in the nelder– mead algorithm using a sufficient decrease condition.SIAM J

Reference 9

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b1eeb4a3-1a9b-4e8b-b045-0e00a6696ebd · outbound

This paper cites Enhancement of the downhill simplex method of optimiza- tion.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Enhancement of the downhill simplex method of optimiza- tion

Reference 10

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cf4ec876-6eea-475b-9b69-016cf01c818e · outbound

This paper cites Simplex optimization method for illumination design.Optics letters, 30(6):649–651, 2005.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Simplex optimization method for illumination design.Optics letters, 30(6):649–651, 2005

Reference 11

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ad507ed7-7632-4082-8037-1aeb74160997 · outbound

This paper cites Implementing the nelder-mead simplex algorithm with adaptive parameters.Comput Optim Appl, 51:259–277, 2012.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Implementing the nelder-mead simplex algorithm with adaptive parameters.Comput Optim Appl, 51:259–277, 2012

Reference 12

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Source-reported events for the cited work

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Observation d2e6ee40-7805-4330-a922-2130c846bcf5 · outbound

This paper cites Globalized nelder–mead method for engineering optimization.Comput Struct, 82(23-26):2251–2260, 2004.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Globalized nelder–mead method for engineering optimization.Comput Struct, 82(23-26):2251–2260, 2004

Reference 13

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Observation 94cc841e-1bee-407b-bdbf-743113320804 · outbound

This paper cites A hybrid global optimization method for inverse esti- mation of hydraulic parameters: Annealing-simplex method.Water Re- sour Res, 34(9):2261–2269, 1998.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A hybrid global optimization method for inverse esti- mation of hydraulic parameters: Annealing-simplex method.Water Re- sour Res, 34(9):2261–2269, 1998

Reference 14

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e081b3e8-0613-4406-a5eb-43167ed0fcc8 · outbound

This paper cites Downhill simplex methods for optimizing simulated anneal- ing are effective.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Downhill simplex methods for optimizing simulated anneal- ing are effective

Reference 15

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Observation afc17189-47ac-4b17-aff3-2ca6b268b192 · outbound

This paper cites Application of the genetic algorithm and downhill simplex methods (nelder–mead methods) in the search for the optimum chiller configuration.Appl Therm Eng, 61(2):433–442, 2013.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Application of the genetic algorithm and downhill simplex methods (nelder–mead methods) in the search for the optimum chiller configuration.Appl Therm Eng, 61(2):433–442, 2013

Reference 16

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Observation 2754ae2d-b7b3-44f6-84eb-7da66ec546bf · outbound

This paper cites Stabilization of the fluidic pinball with gradient- enriched machine learning control.J Fluid Mech, 917:A42, 2021.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Stabilization of the fluidic pinball with gradient- enriched machine learning control.J Fluid Mech, 917:A42, 2021

Reference 17

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Observation 2cf8e2cb-dca9-4d27-8d11-dfb232b2a608 · outbound

This paper cites Sta- bilization of a multi-frequency open cavity flow with gradient- enriched machine learning control.J Fluid Mech, 955:A20, 2023.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Sta- bilization of a multi-frequency open cavity flow with gradient- enriched machine learning control.J Fluid Mech, 955:A20, 2023

Reference 18

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Observation 84dcc605-05d6-4eb1-8692-7f19b9896950 · outbound

This paper cites Cluster- based control for net drag reduction of the fluidic pinball.Phys Fluids, 35(2):023601, 2023.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Cluster- based control for net drag reduction of the fluidic pinball.Phys Fluids, 35(2):023601, 2023

Reference 19

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Observation b50c2df0-b409-47a2-9bce-2ae0c79bdaf1 · outbound

This paper cites The generalized cross product and the volume of a sim- plex.Appl Math Lett, 4(6):51–53, 1991.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions The generalized cross product and the volume of a sim- plex.Appl Math Lett, 4(6):51–53, 1991

Reference 20

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Observation a13d3254-5b76-4698-abc0-ecfdaa9ecc38 · outbound

This paper cites Springer Berlin, Heidelberg, 2009.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Springer Berlin, Heidelberg, 2009

Reference 21

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Observation 56bce60a-fd48-4ff4-8e4f-d4280b53ecca · outbound

This paper cites An additive approximation to multiplicative noise.Journal of Mathematical Imaging and Vision, 62:1227–1237, 2020.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions An additive approximation to multiplicative noise.Journal of Mathematical Imaging and Vision, 62:1227–1237, 2020

Reference 22

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Observation 082df754-87a4-4fd4-9a42-07802272c0fc · outbound

This paper cites Photon directional profile from stimulated decay of axion clouds with arbitrary axion spatial distributions.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Photon directional profile from stimulated decay of axion clouds with arbitrary axion spatial distributions

Reference 23

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Observation 97f423e6-55df-42c4-bc94-c87c6838377f · outbound

This paper cites A new particle swarm optimization algorithm for noisy optimization problems.Swarm Intelligence, 10:161–192, 2016.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A new particle swarm optimization algorithm for noisy optimization problems.Swarm Intelligence, 10:161–192, 2016

Reference 24

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Observation c9ad6fed-f53c-4d0d-a8d6-31d8bb7759f9 · outbound

This paper cites Distributed evolutionary optimization, in manifold: Rosenbrock’s function case study.In- form Sciences, 122(2):141–159, 2000.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Distributed evolutionary optimization, in manifold: Rosenbrock’s function case study.In- form Sciences, 122(2):141–159, 2000

Reference 25

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Observation e7d87df2-975e-4e2a-a42a-6b9748108e80 · outbound

This paper cites A note on the extended rosen- brock function.Evol Comput, 14(1):119–126, 2006.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A note on the extended rosen- brock function.Evol Comput, 14(1):119–126, 2006

Reference 26

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Observation faa5f51b-e2a6-48bc-82f7-eaa3e8ab0d4d · outbound

This paper cites Multiplicative update rules for accel- erating deep learning training and increasing robustness.Neurocomput- ing, 576:127352, 2024.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Multiplicative update rules for accel- erating deep learning training and increasing robustness.Neurocomput- ing, 576:127352, 2024

Reference 27

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ba53673b-53a2-4b06-9fbc-e39fd8494344 · outbound

This paper cites A benchmark of kriging- based infill criteria for noisy optimization.Struct Multidiscip O, 48:607–626, 2013.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions A benchmark of kriging- based infill criteria for noisy optimization.Struct Multidiscip O, 48:607–626, 2013

Reference 28

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 981b16f4-37a4-48e4-8401-81b898565eb9 · outbound

This paper cites Aerodynamic characterization of a fan-array wind generator.AIAA J, 62(1):291–301,.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Aerodynamic characterization of a fan-array wind generator.AIAA J, 62(1):291–301,

Reference 29

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Observation 0fdd78a0-1e1b-4edd-af6f-8010458d6bbb · outbound

This paper cites Aero- dynamic characterization of a wind generator with 40×40 in- dividually controllable fans.Phys Fluids, 37(2):025117, 2025.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Aero- dynamic characterization of a wind generator with 40×40 in- dividually controllable fans.Phys Fluids, 37(2):025117, 2025

Reference 30

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Observation b111f105-cf64-409c-b9f8-ebe84faedc6d · outbound

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rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Unresolved cited work

Reference 2020

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Observation 90cde29b-4c4c-4ac6-a91e-dd51f125a940 · outbound

This paper cites an unresolved cited work.

rDSM -- A robust Downhill Simplex Method software package for optimization problems in high dimensions Unresolved cited work

Reference 2024

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doi, observed 2026-08-05T04:55:58.004743Z

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source=pdf_text observed=2026-08-05T04:55:57.204757Z digest=sha256:4a690c4a96c994e80782ed6f640f4fc51bb4960a7124e24ec5c444ec8707d79e

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