Results 71 to 80 of about 26,596 (173)
Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Advanced Physics Research, Volume 5, Issue 2, February 2026.Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
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Sharp commutator estimates of all order for Coulomb and Riesz modulated energies
Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 207-292, February 2026.Abstract We prove functional inequalities in any dimension controlling the iterated derivatives along a transport of the Coulomb or super‐Coulomb Riesz modulated energy in terms of the modulated energy itself. This modulated energy was introduced by the second author and collaborators in the study of mean‐field limits and statistical mechanics of ...
Matthew Rosenzweig, Sylvia Serfaty
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Dimer models and conformal structures
Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 340-446, February 2026.Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala +3 more
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Human Brain Mapping, Volume 47, Issue 2, February 1, 2026.Dynamic causal modelling of working memory fMRI in individuals with Neurofibromatosis Type 1 (NF1) revealed altered frontoparietal connectivity. NF1 participants showed increased endogenous self‐connectivity in left dlPFC and IPG. During working memory, NF1 participants showed increased self‐connectivity in left vlPFC but decreased self‐connectivity in
Marta C. Litwińczuk +3 more
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Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces. [PDF]
Entropy (Basel), 2023 Derr R, Williamson RC.
europepmc +1 more source
Mathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 1914-1942, February 2026.ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger +2 more
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Definition and Computation of Tensor‐Based Generalized Function Composition
Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.ABSTRACT Functions are fundamental to mathematics as they offer a structured and analytical framework to express relations between variables. While scalar and matrix‐based functions are well‐established, higher‐order tensor‐based functions have not been as extensively explored.
Remy Boyer
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A Preconditioner for Solving Linear Programming Problems With Dense Columns
Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.ABSTRACT The Interior‐Point Methods are a class for solving linear programming problems that rely upon the solution of linear systems. At each iteration, it becomes important to determine how to solve these linear systems when the constraint matrix of the linear programming problem includes dense columns.
Catalina J. Villalba +1 more
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Psychology in the Schools, Volume 63, Issue 2, Page 457-470, February 2026.ABSTRACT This study compared the extent to which growth on two types of early math assessments (curriculum‐based measures [CBMs] and computer adaptive tests) predicted end of year performance in broad math skills as well as improvement in broad math skills in Kindergarten (n = 211) and Grade 1 (n = 79) students.
Ethan R. Van Norman +2 more
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