• Suche: Algorithms for solving nonlinear programming problems with noisy data

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1

Mass-Constrained hybrid Gaussian radial basis neural networks: Development, training, and applications to modeling nonlinear dynamic noisy chemical processes
Mukherjee, Angan ; Gupta, Dipendu ; Bhattacharyya, Debangsu
In Computers and Chemical Engineering June 2025 197

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2

Alternating Minimization for Square Root Principal Component Pursuit.
Deng, Shengxiang ; Li, Xudong ; Zhang, Yangjing
INFORMS Journal on Computing. Dec2025, p1. 15p.

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3

Deep learning algorithms for solving differential equations: a survey.
Kumar, Harender ; Yadav, Neha
Journal of Experimental & Theoretical Artificial Intelligence. May2025, Vol. 37 Issue 4, p609-648. 40p.

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4

An Stochastic Differential Equation Perspective on Stochastic Convex Optimization.
Rodrigo, Maulén S. ; Fadili, Jalal ; Attouch, Hedy
Mathematics of Operations Research. Nov2025, Vol. 50 Issue 4, p3190-3221. 32p.

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5

Stochastic Zeroth-Order Functional Constrained Optimization: Oracle Complexity and Applications.
Nguyen, Anthony ; Balasubramanian, Krishnakumar
INFORMS Journal on Optimization. Summer2023, Vol. 5 Issue 3, p256-272. 17p.

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6

Solving Nonlinear Programming Problems with Noisy Function Values and Noisy Gradients.
Hintermüller, M.
Journal of Optimization Theory & Applications; Jul2002, Vol. 114 Issue 1, p133-169, 37p

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7

Constrained State Regulation Problem of Descriptor Fractional-Order Linear Continuous-Time Systems.
Yang, Hongli ; Si, Xindong ; Ivanov, Ivan G.
Fractal & Fractional; May2024, Vol. 8 Issue 5, p255, 18p

LINEAR systems STATE regulation LINEAR programming INVARIANT sets NONLINEAR programming COORDINATE transformatio... …
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8

Modelling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networks
Ławryńczuk, Maciej
In Chemical Engineering Journal 2008 145(2):290-307

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9

Addressing dispersion in mis-measured multivariate binomial outcomes: A novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data.
Zhao K ; Oualkacha K ; Zeng Y ; et al.
Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE

Humans Multivariate Analysis Arthritis, Rheumatoid ge... Likelihood Functions Sulfites chemistry Sequence Analysis, DNA m... …
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10

IMPLEMENTING A SMOOTH EXACT PENALTY FUNCTION FOR EQUALITY-CONSTRAINED NONLINEAR OPTIMIZATION.
ESTRIN, RON ; FRIEDLANDER, MICHAEL P. ; ORBAN, DOMINIQUE ; et al.
SIAM Journal on Scientific Computing; 2020, Vol. 42 Issue 3, pA1809-A1835, 27p

NONLINEAR functions CONSTRAINED optimization LINEAR systems SMOOTHNESS of functions MATHEMATICAL optimizatio... NONLINEAR programming
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11

Splitting extragradient-like algorithms for strongly pseudomonotone equilibrium problems.
Pham, Ky ; Trinh, Ngoc
Numerical Algorithms; Sep2017, Vol. 76 Issue 1, p67-91, 25p

ALGORITHMS STOCHASTIC convergence MONOTONIC functions PROBLEM solving SAMPLING errors
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12

Generalized Adaptive Huber Loss Driven Robust Twin Support Vector Machine Learning Framework for Pattern Classification.
Jiang, Tiantian ; Wei, Bo ; Yu, Guolin ; et al.
Neural Processing Letters; Aug2025, Vol. 57 Issue 4, p1-39, 39p

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13

Actor-Critic–Like Stochastic Adaptive Search for Continuous Simulation Optimization.
Zhang, Qi ; Hu, Jiaqiao
Operations Research. Nov/Dec2022, Vol. 70 Issue 6, p3519-3537. 19p. 5 Charts, 5 Graphs.

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14

Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession.
Bressane A ; Ewbank H ; Negri RG
Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

Brazil Ecology methods Machine Learning Forests Environmental Monitoring...
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15

A Splicing Approach to Best Subset of Groups Selection.
Zhang, Yanhang ; Zhu, Junxian ; Zhu, Jin ; et al.
INFORMS Journal on Computing. Jan/Feb2023, Vol. 35 Issue 1, p104-119. 16p.

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16

A Multistage Feedback Control Strategy for Producing 1,3-Propanediol in Microbial Continuous Fermentation.
Bei, Honghan ; Wang, Lei ; Sun, Jing ; et al.
Complexity; 3/24/2019, p1-9, 9p

MATHEMATICAL programming FEEDBACK control systems FERMENTATION NONLINEAR programming CONTINUOUS functions REINFORCEMENT learning
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17

МЕТОД ЧИСЛЕННОГО ДИФФЕРЕНЦИРОВАНИЯ ЗАШУМЛЕННЫХ ДАННЫХ С ВЫБРОСАМИ (Russian)
Вовк, С. М.
Radio Electronics, Computer Science, Control; 2017, Vol. 3, p44-52, 9p

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18

A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems.
Morlet‐Espinosa, Javier ; Flores‐Tlacuahuac, Antonio
AIChE Journal; Sep2024, Vol. 70 Issue 9, p1-24, 24p

NONLINEAR programming MATHEMATICAL optimizatio... NONLINEAR equations INTEGER programming ARTIFICIAL intelligence
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19

Solving variational inequalities with monotone operators on domains given by Linear Minimization Oracles.
Juditsky, Anatoli ; Nemirovski, Arkadi
Mathematical Programming. Mar2016, Vol. 156 Issue 1/2, p221-256. 36p.

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20

Quantum Artificial Intelligence: Some Strategies and Perspectives.
Baioletti, Marco ; Fagiolo, Fabrizio ; Loglisci, Corrado ; et al.
AI; Aug2025, Vol. 6 Issue 8, p175, 23p

QUANTUM computing ARTIFICIAL intelligence MACHINE learning NONLINEAR systems COMPUTATIONAL complexity MATHEMATICAL optimizatio...
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