Results 211 to 220 of about 97,059 (278)

Simultaneous Inversion for Underactuated Mechanical Systems with Servo‐Constraints

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The dynamic inversion of underactuated mechanical systems can be formulated in the servo‐constraint framework using a set of differential‐algebraic equations (DAEs). In case of a high differentiation index, the inversion‐based feedforward control design poses significant challenges.
Tengman Wang
wiley   +1 more source

Iterative Krylov Subspace Methods for Linear Port‐Hamiltonian Systems

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT In this work, we present a structure‐preserving Krylov subspace iteration scheme for solving the equation systems that arise from the Gauss integration of linear energy‐conserving and dissipative differential systems (e.g., Poisson systems, gradient systems, and port‐Hamiltonian systems).
Stefan Maier, Nicole Marheineke
wiley   +1 more source

Conjugations of unitary operators, I. [PDF]

open access: yesAnal Math Phys
Mashreghi J, Ptak M, Ross WT.
europepmc   +1 more source

Applications of large‐scale artificial intelligence models in bioinformatics

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li   +5 more
wiley   +1 more source

On Quantum Ergodicity for Higher Dimensional Cat Maps. [PDF]

open access: yesCommun Math Phys
Kurlberg P   +3 more
europepmc   +1 more source

Simply invariant subspaces [PDF]

open access: yesBulletin of the American Mathematical Society, 1963
openaire   +2 more sources

On the Foundational Arguments of Sufficient Dimension Reduction

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

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