Results 151 to 160 of about 1,805 (213)

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

open access: yesMach Learn Sci Technol
Papillon M   +10 more
europepmc   +1 more source

Gram Decay and Intrinsic Dimensions of Krylov Subspaces

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.
ABSTRACT Krylov subspace methods solve large sparse linear systems Ax=b$$ Ax=b $$ by building a sequence of polynomial approximations to A−1b$$ {A}^{-1}b $$ from successive matrix‐vector products. In finite precision, the number of numerically independent directions that can be extracted from this sequence is bounded by the intrinsic information ...
Stephen J. Thomas
wiley   +1 more source

Linking differences in personality to demography in the wandering albatross

open access: yesOikos, Volume 2026, Issue 6, June 2026.
Population dynamics are shaped by individual differences. With a good understanding of the relationships between individual differences and vital rates, population models can be improved to yield more realistic and detailed demographic projections. Personality is expected to shape individual differences in performance.
Joanie Van de Walle   +7 more
wiley   +1 more source

Graph‐Theoretical Approach for Predicting Physicochemical Properties of Stiff‐Person Syndrome Drugs

open access: yesChemistryOpen, Volume 15, Issue 6, June 2026.
Graph‐theoretical descriptors derived from M‐polynomials are integrated with quantitative structure–property relationship modeling and machine learning to uncover structure–property relationships of drugs used in stiff‐person syndrome. Strong correlations between degree‐based topological indices and key physicochemical properties are revealed ...
Jabbar Ali   +3 more
wiley   +1 more source

Mathematical Modeling in Action: Design Principles for Mathematical Modeling Days

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Mathematical modeling is fundamental for numerous scientific and technical disciplines. CAMMP has taken on the challenge of providing high school students, university students, and teachers with authentic insights into modern, computer‐aided modeling practices.
Stephanie Hofmann   +9 more
wiley   +1 more source

Counting Degrees of Freedom: A Method Applicable From Scalars to f(Q)$f(\mathbb {Q})$ Gravity and Beyond

open access: yesFortschritte der Physik, Volume 74, Issue 6, June 2026.
ABSTRACT We present a clear, step‐by‐step method for counting degrees of freedom and identifying constraints in general field theories. This approach, grounded in the works of Einstein, Hilbert, Cartan, Kuranishi, and, more recently, Seiler, is neither Lagrangian nor Hamiltonian in nature. Instead, it applies directly to the field equations. We offer a
Lavinia Heisenberg
wiley   +1 more source

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