Search Results - approximate statistics (dynamic OR dynamika) programming algorithm

Establishment and Solution of a Multi-Stage Decision Model Based on Hypothesis Testing and Dynamic Programming Algorithm

Authors: Liu, Ziyang Hu, Yurui Deng, Yihan

Source: 2024 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC). :884-889

Subject Terms: FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Applications (stat.AP), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications

Access URL: http://arxiv.org/abs/2503.05807

A NONPARAMETRIC ROBUST OPTIMIZATION APPROACH FOR CHANCE-CONSTRAINED KNAPSACK PROBLEM.

Authors: XU, LIANG ZHANG, CHAO XU, ZHOU et al.

Source: SIAM Journal on Optimization; 2025, Vol. 35 Issue 2, p739-766, 28p

Subject Terms: ROBUST optimization, KNAPSACK problems, RANDOM sets, DYNAMIC programming, OPTIMIZATION algorithms, NONPARAMETRIC statistics, STOCHASTIC programming, COMBINATORIAL optimization

Process mining with event attributes and transition features for care pathway modelling.

Authors: Rifki, Omar Peng, Zhihao Perrier, Lionel et al.

Source: International Journal of Production Research; May2025, Vol. 63 Issue 10, p3684-3708, 25p

Subject Terms: HEURISTIC algorithms, PROCESS mining, DYNAMIC programming, TUMOR surgery, CANCER treatment

A segment-wise dynamic programming algorithm for BSDEs.

Authors: Bender, Christian Meyer, Steffen

Source: Probability, Uncertainty & Quantitative Risk; Mar2025, Vol. 10 Issue 1, p1-32, 32p

Subject Terms: MONTE Carlo method, DYNAMIC programming, STOCHASTIC differential equations, CONDITIONAL expectations, ALGORITHMS

An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application

Authors: Simão, Hugo P. Day, Jeff George, Abraham P. et al.

Source: Transportation Science, 2009 May 01. 43(2), 178-197.

Access URL: https://www.jstor.org/stable/25769444

A fast combinatorial algorithm for the bilevel knapsack problem with interdiction constraints: A fast combinatorial algorithm for the bilevel knapsack...: N. Weninger, R. Fukasawa.

Authors: Weninger, Noah Fukasawa, Ricardo

Source: Mathematical Programming; Mar2025, Vol. 210 Issue 1, p847-879, 33p

Subject Terms: BRANCH & bound algorithms, DYNAMIC programming, INTEGER programming, KNAPSACK problems, BACKPACKS, ALGORITHMS, BILEVEL programming

Dynamic resource levelling in projects under uncertainty.

Authors: Li, Hongbo Zhang, Xianchao Sun, Jinshuai et al.

Source: International Journal of Production Research; Jan 2023, Vol. 61 Issue 1, p198-218, 21p, 3 Diagrams, 9 Charts, 4 Graphs

Subject Terms: DYNAMIC programming, MARKOV processes, SCHEDULING, PROJECT management, METAHEURISTIC algorithms, ALGORITHMS, DISTRIBUTED algorithms, DECODING algorithms

Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints.

Authors: He, Chuchao Di, Ruohai Li, Bo et al.

Source: CAAI Transactions on Intelligence Technology; Dec2024, Vol. 9 Issue 6, p1605-1622, 18p

Subject Terms: BAYESIAN analysis, MACHINE learning, DYNAMIC programming, ORDER picking systems, ALGORITHMS

A fully adaptive framework for continuous-state stochastic dynamic programming.

Authors: Fan, Huiyuan Tarun, Prashant K. Viswanatha, Amith et al.

Source: Computers & Operations Research. Nov2025, Vol. 183, pN.PAG-N.PAG. 1p.

Subject Terms: *DYNAMIC programming, *STATISTICS, STATISTICAL models, SPACE exploration, COMPUTER engineering

EnsembleDesign: messenger RNA design minimizing ensemble free energy via probabilistic lattice parsing Open Access.

Authors: Dai, Ning Zhou, Tianshuo Tang, Wei Yu et al.

Source: Bioinformatics; 2025 Supplement, Vol. 41, pi391-i400, 10p

Subject Terms: MESSENGER RNA, STRUCTURAL optimization, HELMHOLTZ free energy, DYNAMIC programming, VACCINE development, ENSEMBLE learning, RIBOSOMES, BOLTZMANN factor

An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application

Authors: John Nienow Jeff Day Hugo P. Simão et al.

Source: Transportation Science. 43:178-197

Subject Terms: 0502 economics and business, 05 social sciences, 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology

Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources.

Authors: Ma, Minghong Yang, Fei

Source: Annals of Operations Research; Oct2024, Vol. 341 Issue 2/3, p1075-1105, 31p

Subject Terms: BEE products, DYNAMIC programming, MARKOV processes, ONLINE education, BEEKEEPING

Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem.

Authors: Satic, Ugur Jacko, Peter Kirkbride, Christopher

Source: International Journal of Production Research; Feb2022, Vol. 60 Issue 4, p1411-1423, 13p, 3 Diagrams, 10 Charts

Subject Terms: MARKOV processes, DYNAMIC programming, SCHEDULING, GENETIC algorithms, REINFORCEMENT learning, STOCHASTIC programming

Metalearning of time series: an approximate dynamic programming approach.

Authors: Collado, Ricardo A. Creamer, Germán G.

Source: Quantitative Finance; Apr2023, Vol. 23 Issue 4, p539-551, 13p

Subject Terms: DYNAMIC programming, TIME series analysis, FORECASTING

Optimal scheduling on unrelated parallel machines with combinatorial auction.

Authors: Yan, Xue Wang, Ting Shi, Xuefei

Source: Annals of Operations Research; Jan2025, Vol. 344 Issue 2, p937-963, 27p

Subject Terms: COMPUTER scheduling, COMPUTER software, SCHEDULING software, COMPUTER science, DYNAMIC programming

Active Classification for POMDPs: A Kalman-Like State Estimator

Authors: Zois, Daphney-Stavroula Levorato, Marco Mitra, Urbashi

Source: IEEE Transactions on Signal Processing. 62(23)

Subject Terms: Active classification, controlled sensing, active state tracking, partially observable Markov decision processes, nonlinear POMDPs, Kalman-like filter, Kalman-like smoothers, innovations approach, approximate MMSE estimation, stochastic dynamic programming, discrete state Markov chains, Martingale difference sequence, body sensing network application, cs.SY, math.OC, Networking & Telecommunications

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/8qk904kw
https://escholarship.org/content/qt8qk904kw/qt8qk904kw.pdf

Multi-objective dynamic programming with limited precision

Authors: L. Mandow J. L. Perez-de-la-Cruz N. Pozas

Source: RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Universidad de Málaga

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Multi-objective, I.2.8, 0211 other engineering and technologies, Machine Learning (stat.ML), 02 engineering and technology, Dynamic programming, F.2.2, Markov decision processes, Machine Learning (cs.LG), Programación dinámica, Statistics - Machine Learning, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering

Access URL: https://link.springer.com/content/pdf/10.1007/s10898-021-01096-x.pdf
http://arxiv.org/abs/2009.08198
https://hdl.handle.net/10630/24040
https://doi.org/10.1007/s10898-021-01096-x
https://hdl.handle.net/10630/24040
https://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-08198
https://link.springer.com/content/pdf/10.1007/s10898-021-01096-x.pdf
http://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-08198
https://link.springer.com/article/10.1007/s10898-021-01096-x

Optimizing vaccine distribution in developing countries under natural disaster risk.

Authors: Seranilla, Bonn Kleiford Löhndorf, Nils

Source: Naval Research Logistics; Feb2024, Vol. 71 Issue 1, p140-157, 18p

Subject Terms: NATURAL disasters, DEVELOPING countries, VACCINE development, RAINFALL, DYNAMIC programming

Geographic Terms: PHILIPPINES

A Directional Wave Spectrum Inversion Algorithm with HF Surface Wave Radar Network.

Authors: Mo, Fuqi Wu, Xiongbin Li, Xiaoyan et al.

Source: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2573, 25p

Subject Terms: SIGNAL-to-noise ratio, QUADRATIC programming, MATHEMATICAL regularization, MIMO systems, DOPPLER radar, FIELD research, FREQUENCY spectra

Intrusion Prevention Through Optimal Stopping

Authors: Hammar, Kim Stadler, Rolf, Prof.

Source: IEEE Transactions on Network and Service Management. 19(3):2333-2348

Subject Terms: Reinforcement learning, Markov processes, Security, Logic gates, Emulation, Dynamic programming, Computational modeling, Network security, automation, optimal stopping, Markov decision process, MDP, POMDP

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-320997
https://doi.org/10.1109/TNSM.2022.3176781