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Papers matching “algorithmic problem solving” 28

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Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
2023 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Didier Chételat, Christopher Morris

2

citations
Solving unconstrained binary polynomial programs with limited reach: Application to low autocorrelation binary sequences
2024 Computers & Operations Research article Mathematics Advanced Optimization Algorithms Research Open access

Jens Clausen, Yves Crama, Richard Martin Lusby, Elisabeth Rodríguez-Heck, Stefan Røpke

4

citations
Modal Discontinuous Galerkin Simulations for Grad’s 13 Moment Equations: Application to Riemann Problem in Continuum-Rarefied Flow Regime
2024 Journal of Computational and Theoretical Transport article Mathematics Gas Dynamics and Kinetic Theory Open access

Satyvir Singh, Hang Song, Manuel Torrilhon

5

citations
MUSE-BB: a decomposition algorithm for nonconvex two-stage problems using strong multisection branching
2025 Journal of Global Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Marco Langiu, Manuel Dahmen, Dominik Bongartz, Alexander Mitsos

0

citations
A hybrid approximation algorithm for convex multi-parametric quadratically constrained quadratic programs
2026 Optimization and Engineering article Mathematics Advanced Optimization Algorithms Research Open access

Adrian W. Lipow, Dustin Kenefake, Elizabeth J. Abraham, Efstratios N. Pistikopoulos

0

citations
libDIPS: An Open-Source Platform for Global Optimization of Hierarchical Optimization Problems
2026 Systems and Control Transactions conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Adrian W. Lipow, Daniel Jungen, Aron Zingler, Hatim Djelassi, Alexander Mitsos

0

citations
Deterministic global and hierarchical optimization for experimental design
2025 RWTH Publications (RWTH Aachen) dissertation Mathematics Advanced Optimization Algorithms Research Open access

Daniel Jungen

1

citations
Discretization algorithms for generalized semi-infinite programs with coupling equality constraints under local solution stability
2025 Journal of Global Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Aron Zingler, Adrian W. Lipow, Alexander Mitsos

1

citations
Uncertainty quantification of geological model parameters in 3D gravity inversion by Hessian informed Markov chain Monte Carlo
2021 preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Zhouji Liang, Florian Wellmann

0

citations
Bayesian inversion for electromyography using low-rank tensor formats
2021 Inverse Problems article Mathematics Numerical methods in inverse problems Open access

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, Lars Grasedyck

3

citations
Surrogate-based prioritization of sub-problems for Benders decomposition in energy planning
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Wanhong Yu, Boyung Jürgens, Leonard Göke

0

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
A Matrix-Free Exact Newton Method
2024 SIAM Journal on Scientific Computing article Mathematics Iterative Methods for Nonlinear Equations

Uwe Naumann

2

citations
A Matrix-Free Newton Method
2023 arXiv (Cornell University) preprint Mathematics Iterative Methods for Nonlinear Equations Open access

Uwe Naumann

0

citations
hopsy — a methods marketplace for convex polytope sampling in Python
2024 Bioinformatics article Mathematics Markov Chains and Monte Carlo Methods Open access

Richard Dominik Paul, Johann F. Jadebeck, Anton Stratmann, Wolfgang Wiechert, Katharina Nöh

8

citations
Children’s Arithmetic Strategy Use and Strategy Change from Grade 3 to Grade 4
2025 International Journal of Science and Mathematics Education article Mathematics Cognitive and developmental aspects of mathematical skills Open access

Henning Sievert, Marian Hickendorff, Ann-Katrin van den Ham, Aiso Heinze

5

citations
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
2023 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

4

citations
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Moment-preserving particle merging via non-negative least squares
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Georgii Oblapenko, Manuel Torrilhon

0

citations
hopsy - a methods marketplace for convex polytope sampling in Python
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Richard Dominik Paul, Johann F. Jadebeck, Anton Stratmann, Wolfgang Wiechert, Katharina Nöh

0

citations
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings
2023 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Markov Chains and Monte Carlo Methods Open access

Juan P. Madrigal-Cianci, Fabio Nobile, Raul F. Tempone

11

citations
Constructive Recognition of Special Linear Groups
2024 arXiv (Cornell University) preprint Mathematics Finite Group Theory Research Open access

Max Horn, Alice Niemeyer, Cheryl E. Praeger, Daniel Rademacher

0

citations
BayesicFitting, a PYTHON toolbox for Bayesian fitting and evidence calculation.
2021 Astronomy and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

D. J. M. Kester, Michael Mueller

10

citations
BayesicFitting, a PYTHON Toolbox for Bayesian Fitting and Evidence Calculation
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

D. J. M. Kester, Michael Mueller

0

citations
High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations