Results 51 to 60 of about 382,992 (165)
Smoothing Dynamic Systems with State-Dependent Covariance Matrices
, 2014 Kalman filtering and smoothing algorithms are used in many areas, including tracking and navigation, medical applications, and financial trend filtering.
Aravkin, Aleksandr Y., Burke, James V.
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Research on Real-Time Improvement Methods for Aircraft Engine Onboard Models
AerospaceOnboard models serve as the foundation for the advanced control and fault diagnosis of aero-engines. Currently, to address the issues of high computational complexity and insufficient real-time performance in component-level aero-engine models, three ...
Lin Guo +4 more
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Canonical Analysis of Non-Relativistic Particle and Superparticle
, 2017 We perform canonical analysis of non-relativistic particle in Newton-Cartan Background. Then we extend this analysis to the case of non-relativistic superparticle in the same background.
Kluson, J.
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An iterative semi-implicit scheme with robust damping
, 2008 An efficient, iterative semi-implicit (SI) numerical method for the time integration of stiff wave systems is presented. Physics-based assumptions are used to derive a convergent iterative formulation of the SI scheme which enables the monitoring and ...
Ascher +51 more
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A new perspective on the complexity of interior point methods for linear programming [PDF]
, 2007 In a dynamical systems paradigm, many optimization algorithms are equivalent to applying forward Euler method to the system of ordinary differential equations defined by the vector field of the search directions.
Cartis, Coralia, Hauser, Raphael
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A full-Newton step non-interior continuation algorithm for a class of complementarity problems
Journal of Computational and Applied Mathematics, 2012 Semilinear complementarity problems arising from the discretization of free boundary value problems are solved with a non-interior continuation method by using a full Newton step at each iteration step. The algorithm converges monotonically, and it is globally linearly and locally superlinearly convergent.
Zhao, Jian-Xun, Wang, Yong
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Analytical ab initio hessian from a deep learning potential for transition state optimization
Nature CommunicationsIdentifying transition states—saddle points on the potential energy surface connecting reactant and product minima—is central to predicting kinetic barriers and understanding chemical reaction mechanisms.
Eric C.-Y. Yuan +7 more
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Numerical solutions of 2-D multi-stage rotor/stator unsteady flow interactions [PDF]
The Rai method of single-stage rotor/stator flow interaction is extended to handle multistage configurations. In this study, a two-dimensional Navier-Stokes multi-zone approach was used to investigate unsteady flow interactions within two multistage ...
Lin, S.-J., Yang, R.-J.
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SIAM Journal on Optimization, 2015 Summary: We present an improved version of an infeasible interior-point method for linear optimization published in 2006. In the earlier version each iteration consisted of one so-called feasibility step and a few -- at most three -- centering steps. In this paper each iteration consists of only a feasibility step, whereas the iteration bound improves ...
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Newton-Okounkov bodies on projective bundles over curves
, 2017 In this article, we study Newton-Okounkov bodies on projective vector bundles over curves. Inspired by Wolfe's estimates used to compute the volume function on these varieties, we compute all Newton-Okounkov bodies with respect to linear flags. Moreover,
Montero, Pedro
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