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ORCIDSIAM Review, Volume 64
Volume 64, Number 1, February 2022
- Jesús María Sanz-Serna:
Survey and Review. 1 - Maxime Vono
, Nicolas Dobigeon, Pierre Chainais:
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm. 3-56 - Misha E. Kilmer:
Research Spotlights. 57-58 - Saber Jafarpour, Elizabeth Y. Huang, Kevin D. Smith, Francesco Bullo:
Flow and Elastic Networks on the n-Torus: Geometry, Analysis, and Computation. 59-104 - Alex H. Barnett:
How Exponentially Ill-Conditioned Are Contiguous Submatrices of the Fourier Matrix? 105-131 - Lloyd N. Trefethen:
Exactness of Quadrature Formulas. 132-150 - The Editors:
Sigest. 151 - George C. Linderman, Stefan Steinerberger:
Dimensionality Reduction via Dynamical Systems: The Case of t-SNE. 153-178 - Darinka Dentcheva:
Education. 179 - Gilbert Strang, Cleve Moler:
LU and CR Elimination. 181-190 - C. T. Kelley:
Newton's Method in Mixed Precision. 191-211 - Volker H. Schulz:
Book Reviews. 215-225
Volume 64, Number 2, May 2022
- Jesús María Sanz-Serna:
Survey and Review. 227 - Steven L. Brunton, Marko Budisic, Eurika Kaiser, J. Nathan Kutz:
Modern Koopman Theory for Dynamical Systems. 229-340 - Misha E. Kilmer:
Research Spotlights. 341-342 - Karel Devriendt, Samuel Martin-Gutierrez, Renaud Lambiotte:
Variance and Covariance of Distributions on Graphs. 343-359 - Alexander Strang, Karen C. Abbott, Peter J. Thomas:
The Network HHD: Quantifying Cyclic Competition in Trait-Performance Models of Tournaments. 360-391 - Roland Glowinski, Yongcun Song, Xiaoming Yuan, Hangrui Yue:
Bilinear Optimal Control of an Advection-Reaction-Diffusion System. 392-421 - The Editors:
Sigest. 423 - Frantisek Kardos:
Hamiltonicity of Cubic Planar Graphs with Bounded Face Sizes. 425-465 - Darinka Dentcheva:
Education. 467 - Axel Kittenberger, Leonidas Mindrinos, Otmar Scherzer:
Computed Origami Tomography. 469-484 - Bernardo Gouveia, Howard A. Stone:
Generating Resonant and Repeated Root Solutions to Ordinary Differential Equations Using Perturbation Methods. 485-499 - Volker H. Schulz:
Book Reviews. 503-513
Volume 64, Number 3, August 2022
- Jesús María Sanz-Serna:
Survey and Review. 515 - Qinmeng Zou, Frédéric Magoulès:
Delayed Gradient Methods for Symmetric and Positive Definite Linear Systems. 517-553 - Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee:
Scalable Load Balancing in Networked Systems: A Survey of Recent Advances. 554-622 - Misha E. Kilmer:
Research Spotlights. 623-624 - Joseph D. Johnson, Adam M. Redlich, Daniel M. Abrams:
A Mathematical Model for the Origin of Name Brands and Generics. 625-639 - Andy Wathen:
Some Comments on Preconditioning for Normal Equations and Least Squares. 640-649 - Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. 650-685 - The Editors:
Sigest. 687 - Paolo Guasoni, Yu-Jui Huang:
Minimizing the Repayment Cost of Federal Student Loans. 689-709 - Darinka Dentcheva:
Education. 711-712 - Manlio Gaudioso, Jean-Baptiste Hiriart-Urruty:
Deforming $||.||_{1}$ into $||.||_{\infty}$ via Polyhedral Norms: A Pedestrian Approach. 713-727 - Demi L. Gandy, Martin R. Nelson:
Analyzing Pattern Formation in the Gray-Scott Model: An XPPAUT Tutorial. 728-747 - Volker H. Schulz:
Book Reviews. 751-759
Volume 64, Number 4, November 2022
- Jesús María Sanz-Serna:
Survey and Review. 761 - Laetitia Gauvin, Mathieu Génois, Márton Karsai, Mikko Kivelä, Taro Takaguchi, Eugenio Valdano, Christian L. Vestergaard:
Randomized Reference Models for Temporal Networks. 763-830 - Leandro Farina, Guillaume Lang, Paul A. Martin:
Love-Lieb Integral Equations: Applications, Theory, Approximations, and Computations. 831-865 - Hamza Fawzi, João Gouveia, Pablo A. Parrilo, James Saunderson, Rekha R. Thomas:
Lifting for Simplicity: Concise Descriptions of Convex Sets. 866-918 - Misha E. Kilmer:
Research Spotlights. 919 - Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. 954-988 - The Editors:
Sigest. 989 - Alain Durmus, Éric Moulines, Marcelo Pereyra:
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau. 991-1028 - Darinka Dentcheva:
Education. 1029 - Langhorne P. Withers Jr.:
A Generalized Dual Transform: Linear Algebra and Geometry of (Pseudo)Inverting a Matrix. 1031-1061 - Roel Snieder, Michael B. Wakin:
When Randomness Helps in Undersampling. 1062-1080 - Volker H. Schulz:
Book Reviews. 1083-1095
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