Spin-Dependent Terms of the Breit-Pauli Hamiltonian Evaluated with an Explicitly Correlated Gaussian Basis Set for Molecular Computations. [PDF]
Jeszenszki P +3 more
europepmc +1 more source
On MAP Estimates and Source Conditions for Drift Identification in SDEs
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck +3 more
wiley +1 more source
Linear Stability of the Slowly-Rotating Kerr-de Sitter Family. [PDF]
Fang AJ.
europepmc +1 more source
Simultaneous Inversion for Underactuated Mechanical Systems with Servo‐Constraints
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
Excitation Energy Transfer in an Intermediate Regime: A Multiconfigurational Gaussian Wavepacket Study of a Light-Harvesting Supramolecular Dyad. [PDF]
Loho Choudhury S +4 more
europepmc +1 more source
Iterative Krylov Subspace Methods for Linear Port‐Hamiltonian Systems
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
Quantum Error Mitigation in Optimized Circuits for Particle-Density Correlations in Real-Time Dynamics of the Schwinger Model. [PDF]
Pomarico D +7 more
europepmc +1 more source
Toward an Efficient Shifted Cholesky QR for Applications in Model Order Reduction Using pyMOR
ABSTRACT Many model order reduction (MOR) methods rely on the computation of an orthonormal basis of a subspace onto which the large full order model is projected. Numerically, this entails the orthogonalization of a set of vectors. The nature of the MOR process imposes several requirements for the orthogonalization process.
Maximilian Bindhak +2 more
wiley +1 more source
Impulsive-Smooth Behavior in Multimode Systems. Part I: State-Space and Polynomial Representations.
Schumacher, J.M., Geerts, A.H.W.
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