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SIAM Review, Volume 67

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Volume 67, Number 1, 2025

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Marlis Hochbruck:
Survey and Review. 1
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Johannes O. Royset:
Risk-Adaptive Approaches to Stochastic Optimization: A Survey. 3-70
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Stefan M. Wild:
Research Spotlights. 71
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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
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The Editors:
Sigest. 105
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Tyrus Berry, Suddhasattwa Das:
Limits of Learning Dynamical Systems. 107-137
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  - journals/siamrev/Frankowska25
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Hélène Frankowska:
Education. 139-140
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Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro:
Graph Neural Networks and Applied Linear Algebra. 141-175
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Thomas Nagel, Tymofiy Gerasimov, Jere Remes, Dominik Kern:
Neighborhood Watch in Mechanics: Nonlocal Models and Convolution. 176-193
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Anita T. Layton:
Book Reviews. 195-196
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John C. Butcher, Robert M. Corless:
Featured Review: Numerical Integration of Differential Equations. 197-204
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Gabriele Ciaramella:
Book Review: Numerical Methods in Physics with Python. Second Edition. 204-205
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Nevena Maric:
Book Review: Probability Adventures. 205-206
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David Banks:
Book Review: Essential Statistics for Data Science: A Concise Crash Course. 206-207
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Omar Morandi:
Book Review: Elegant Simulations. From Simple Oscillators to Many-Body Systems. 207-208
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Bamdad Hosseini:
Book Review: Mathematical Pictures at a Data Science Exhibition. 208-209

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