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SIAM Review, Volume 67
Volume 67, Number 1, 2025
- Marlis Hochbruck:

Survey and Review. 1 - Johannes O. Royset:

Risk-Adaptive Approaches to Stochastic Optimization: A Survey. 3-70 - Stefan M. Wild:

Research Spotlights. 71 - Nina Maria Gottschling

, Vegard Antun
, Anders C. Hansen, Ben Adcock:
The Troublesome Kernel: On Hallucinations, No Free Lunches, and the Accuracy-Stability Tradeoff in Inverse Problems. 73-104 - The Editors:

Sigest. 105 - Tyrus Berry

, Suddhasattwa Das
:
Limits of Learning Dynamical Systems. 107-137 - Hélène Frankowska:

Education. 139-140 - Nicholas S. Moore

, Eric C. Cyr
, Peter Ohm
, Christopher M. Siefert, Raymond S. Tuminaro
:
Graph Neural Networks and Applied Linear Algebra. 141-175 - Thomas Nagel, Tymofiy Gerasimov, Jere Remes, Dominik Kern

:
Neighborhood Watch in Mechanics: Nonlocal Models and Convolution. 176-193 - Anita T. Layton:

Book Reviews. 195-196 - John C. Butcher, Robert M. Corless

:
Featured Review: Numerical Integration of Differential Equations. 197-204 - Gabriele Ciaramella:

Book Review: Numerical Methods in Physics with Python. Second Edition. 204-205 - Nevena Maric:

Book Review: Probability Adventures. 205-206 - David Banks:

Book Review: Essential Statistics for Data Science: A Concise Crash Course. 206-207 - Omar Morandi

:
Book Review: Elegant Simulations. From Simple Oscillators to Many-Body Systems. 207-208 - Bamdad Hosseini

:
Book Review: Mathematical Pictures at a Data Science Exhibition. 208-209
Volume 67, Number 2, 2025
- Marlis Hochbruck:

Survey and Review. 211 - Ben Tu

, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Multiobjective Optimization Using the R2 Utility. 213-255 - Patrick Henning

, Elias Jarlebring
:
The Gross-Pitaevskii Equation and Eigenvector Nonlinearities: Numerical Methods and Algorithms. 256-317 - Stefan M. Wild:

Research Spotlights. 319 - Ho Yun

, Victor M. Panaretos
:
Computerized Tomography and Reproducing Kernels. 321-350 - The Editors:

Sigest. 351 - Carles Falcó

, Ruth E. Baker
, José A. Carrillo
:
A Nonlocal-to-Local Approach to Aggregation-Diffusion Equations. 353-372 - Hélène Frankowska:

Education. 373 - Grace D'agostino, Hermann J. Eberl

:
Uncertainty Analysis of a Simple River Quality Model Using Differential Inequalities. 375-398 - Anita T. Layton:

Book Reviews. 399 - Rachel Roca:

Featured Review: How Data Happened: A History from the Age of Reason to the Age of Algorithms. 401-403 - Laura W. Layton:

Book Review: Math in Drag. 404-405 - Esha Datta:

Book Review: Big Data Analytics for Smart Transport and Healthcare Systems. 405-406 - Hollis Williams, Azza M. Algatheem:

Book Review: Algorithmic Mathematics in Machine Learning. 406-408 - Leon Bungert

:
Book Review: Optimal Mass Transport on Euclidean Spaces. 408-411 - Chaman Kumar:

Book Review: Stochastic Integral and Differential Equations in Mathematical Modelling. 411
Volume 67, Number 3, 2025
- Marlis Hochbruck:

Survey and Review. 413 - Christian Füllner, Steffen Rebennack

:
Stochastic Dual Dynamic Programming and Its Variants: A Review. 415-539 - Stefan M. Wild:

Research Spotlights. 541 - Daniel Sanz-Alonso, Nathan Waniorek

:
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint. 543-575 - The Editors:

Sigest. 577 - Yongxin Chen, Tryphon T. Georgiou

, Michele Pavon
:
Optimal Survival Strategies for Diffusive Flows: A Schrödinger Bridge Approach to Unbalanced Transport. 579-604 - Hélène Frankowska:

Education. 605 - Catherine F. Higham, Desmond J. Higham, Peter Grindrod:

Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians. 607-623 - Cordula Reisch

, Hendrik Ranocha
:
Modeling Still Matters: A Surprising Instance of Catastrophic Floating Point Errors in Mathematical Biology and Numerical Methods for ODEs. 624-641 - Anita T. Layton:

Book Reviews. 643 - Beth Malmskog:

Featured Review: Making Democracy Count: How Mathematics Improves Voting, Electoral Maps, and Representation. 645-650 - Sebastián Zamorano Aliaga:

Book Review: Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory: A Minimum-Principle Approach. 650-651 - Matthias Ruf:

Book Review: Discrete Variational Problems with Interfaces. 651-654 - Hao Chen:

Book Review: Differential Equations: Solving Ordinary and Partial Differential Equations with Mathematica. 654-655 - Ábel Garab

:
Book Review: Dissipative Lattice Dynamical Systems. 655-656 - Olivier Menoukeu Pamen:

Book Review: Statistical Foundations of Actuarial Learning and Its Applications. 656-658
Volume 67, Number 4, 2025
- Marlis Hochbruck:

Survey and Review. 659 - Ho-Chul Shin:

Numerical Review of Mathieu Function Programs for Integer Orders and Real Parameters. 661-733 - Stefan M. Wild:

Research Spotlights. 735 - Athanasios C. Antoulas, Ion Victor Gosea, Charles Poussot-Vassal:

On the Loewner Framework, the Kolmogorov Superposition Theorem, and the Curse of Dimensionality. 737-770 - Elizabeth Qian, Christopher Beattie:

The Fundamental Subspaces of Ensemble Kalman Inversion. 771-798 - The Editors:

Sigest. 799 - Dan Feldman, Melanie Schmidt, Christian Sohler:

Turning Big Data Into Tiny Data: Coresets for Unsupervised Learning Problems. 801-861 - Hélène Frankowska:

Education. 863 - Andrew J. Wathen:

Least Squares and the Not-Normal Equations. 865-872 - Junfeng Chen, Kailiang Wu, Dongbin Xiu:

DUE: A Deep Learning Framework and Library for Modeling Unknown Equations. 873-902 - Anita T. Layton:

Book Reviews. 903-904 - Souvik Roy:

Featured Review: The Sequential Quadratic Hamiltonian Method: Solving Optimal Control Problems. 905-909 - Sara M. Clifton:

Book Review: Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution. 909-912 - Anita T. Layton:

Book Review: Mathematical Analysis: A Very Short Introduction. 913 - Guosheng Fu:

Book Review: Classical Numerical Analysis: A Comprehensive Course. 914-915 - Rikha Rahim, Ahmad F. Sihombing, Ika W. Palupi, Nona T. Sapulette:

Book Review: A New Lotka-Volterra Model of Competition With Strategic Aggression: Civil Wars When Strategy Comes into Play. 915-917 - Volker H. Schulz:

Book Review: Algorithmic Mathematics in Machine Learning. 917-918

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