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Projected Outcomes of Reducing Federal Funding for Syringe Service Programs via Executive Order.

JAMA Netw Open
Fetters KB, Padmanabhan P, Yamkovoy K, Guan X, Scott SE, Kerr L, Joseph K, Day GL, Plesons M, Bartholomew TS, Tookes HE, Al-Tayyib A, Barocas JA.   +12 more
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Reduced order modeling in iTOUGH2

Computers & Geosciences, 2014
The inverse modeling and uncertainty quantification capabilities of iTOUGH2 are augmented with reduced order models (ROMs) that act as efficient surrogates for computationally expensive high fidelity models (HFMs). The implementation of the ROM capabilities involves integration of three main computational components.
George Shu Heng Pau, Yingqi Zhang, Stefan Finsterle, Haruko M. Wainwright, Jens T. Birkholzer   +4 more
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On Synthesis of Reduced Order Models

2011
A framework for model reduction and synthesis is presented, which enables the re-use of reduced order models in circuit simulation. Two synthesis techniques are considered for obtaining the circuit representation (netlist) of the reduced model: (1) by means of realizing the reduced transfer function and (2) by unstamping the reduced system matrices ...
Ionutiu, R., Rommes, J.
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Reduced-order modeling for hyperthermia control

IEEE Transactions on Biomedical Engineering, 1992
This paper analyzes the feasibility of using reduced-order modeling techniques in the design of multiple-input, multiple-output (MIMO) hyperthermia temperature controllers. State space thermal models are created based upon a finite difference expansion of the bioheat transfer equation model of a scanned focused ultrasound system (SFUS).
J. Kyle Potocki, Hal S. Tharp
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Reduced-Order Models for MEMS Applications

Nonlinear Dynamics, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nayfeh, Ali H., Younis, Mohammad I., Abdel-Rahman, Eihab M.   +2 more
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Reduced-Order Modeling and Filtering

1982
In this chapter the purpose is to show how one can find a reduced-order model or a reduced-order filter with a reasonable amount of design effort. It is the author's current feeling that any result which requires the solution of a nonlinear matrix two-point boundary-valued problem of high order, is not practical. The design procedure in such cases will
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Reduced-Order Modeling

2014
In this chapter, the full-order state-space models presented in Chap. 3 are reduced in order and parametrized in the main parameters of the flight envelope. Order reduction is achieved by a multistep procedure: A modal reduction is followed by a reduction of the complete aeroelastic model and finally a balanced reduction is performed.
M. Valášek, Z. Šika, T. Vampola, S. Hecker   +3 more
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Reduced-Order Modeling

2005
Abstract In recent years, reduced-order modeling techniques have proven to be powerful tools for various problems in circuit simulation. For example, today, reduction techniques are routinely used to replace the large RCL subcircuits that model the interconnect or the pin package of VLSI circuits by models of much smaller dimension.
Zhaojun Bai, Patrick M. Dewilde, Roland W. Freund   +2 more
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Laguerre-SVD reduced order modeling

IEEE 8th Topical Meeting on Electrical Performance of Electronic Packaging (Cat. No.99TH8412), 2000
A reduced-order modeling method based on a system description in terms of orthonormal Laguerre functions, together with a Krylov subspace decomposition technique is presented. The link with Pade approximation, the block Arnoldi process and singular value decomposition (SVD) leads to a simple and stable implementation of the algorithm. Novel features of
L. Knockaert, D. De Zutter
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