Academic literature on the topic 'Free methods'

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Journal articles on the topic "Free methods"

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Maritz, J. S. "Distribution-Free Statistical Methods." Biometrics 52, no. 1 (March 1996): 378. http://dx.doi.org/10.2307/2533182.

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Larson, Jeffrey, Matt Menickelly, and Stefan M. Wild. "Derivative-free optimization methods." Acta Numerica 28 (May 1, 2019): 287–404. http://dx.doi.org/10.1017/s0962492919000060.

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In many optimization problems arising from scientific, engineering and artificial intelligence applications, objective and constraint functions are available only as the output of a black-box or simulation oracle that does not provide derivative information. Such settings necessitate the use of methods for derivative-free, or zeroth-order, optimization. We provide a review and perspectives on developments in these methods, with an emphasis on highlighting recent developments and on unifying treatment of such problems in the non-linear optimization and machine learning literature. We categorize methods based on assumed properties of the black-box functions, as well as features of the methods. We first overview the primary setting of deterministic methods applied to unconstrained, non-convex optimization problems where the objective function is defined by a deterministic black-box oracle. We then discuss developments in randomized methods, methods that assume some additional structure about the objective (including convexity, separability and general non-smooth compositions), methods for problems where the output of the black-box oracle is stochastic, and methods for handling different types of constraints.
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Brooks, Stephen, and J. S. Maritz. "Distribution-Free Statistical Methods." Statistician 45, no. 1 (1996): 134. http://dx.doi.org/10.2307/2348428.

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Knott, Martin, and J. S. Maritz. "Distribution-Free Statistical Methods." Journal of the Royal Statistical Society. Series A (Statistics in Society) 159, no. 2 (1996): 351. http://dx.doi.org/10.2307/2983190.

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Belytschko, T., Y. Y. Lu, and L. Gu. "Element-free Galerkin methods." International Journal for Numerical Methods in Engineering 37, no. 2 (January 30, 1994): 229–56. http://dx.doi.org/10.1002/nme.1620370205.

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Khattri, S. K., and R. P. Agarwal. "Derivative-Free Optimal Iterative Methods." Computational Methods in Applied Mathematics 10, no. 4 (2010): 368–75. http://dx.doi.org/10.2478/cmam-2010-0022.

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AbstractIn this study, we develop an optimal family of derivative-free iterative methods. Convergence analysis shows that the methods are fourth order convergent, which is also verified numerically. The methods require three functional evaluations during each iteration. Though the methods are independent of derivatives, computa- tional results demonstrate that the family of methods are efficient and demonstrate equal or better performance as compared with many well-known methods and the clas- sical Newton method. Through optimization we derive an optimal value for the free parameter and implement it adaptively, which enhances the convergence order without increasing functional evaluations.
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Andrews, Peter, and Sylvia Hixson. "Taxon-Free Methods of Palaeoecology." Annales Zoologici Fennici 51, no. 1-2 (April 2014): 269–84. http://dx.doi.org/10.5735/086.051.0225.

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Geogheghan, Katherine. "Medal for metal-free methods." Nature Chemistry 13, no. 12 (November 22, 2021): 1163. http://dx.doi.org/10.1038/s41557-021-00851-7.

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Celledoni, Elena, Arne Marthinsen, and Brynjulf Owren. "Commutator-free Lie group methods." Future Generation Computer Systems 19, no. 3 (April 2003): 341–52. http://dx.doi.org/10.1016/s0167-739x(02)00161-9.

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Wilkins, T. A. "FREE THYROXINE ASSAYS: ANALOGUE METHODS." Lancet 326, no. 8460 (October 1985): 884. http://dx.doi.org/10.1016/s0140-6736(85)90143-6.

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Dissertations / Theses on the topic "Free methods"

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Pekmen, Bengisen. "Derivative Free Multilevel Optimization Methods." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610853/index.pdf.

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Derivative free optimization algorithms are implementations of trust region based derivative-free methods using multivariate polynomial interpolation. These are designed to minimize smooth functions whose derivatives are not available or costly to compute. The trust region based multilevel optimization algorithms for solving large scale unconstrained optimization problems resulting by discretization of partial differential equations (PDEs), make use of different discretization levels to reduce the computational cost. In this thesis, a derivative free multilevel optimization algorithm is derived and its convergence behavior is analyzed. The effectiveness of the algorithms is demonstrated on a shape optimization problem.
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Mason, C. J. "Numerical methods for free boundary problems." Thesis, Imperial College London, 1985. http://hdl.handle.net/10044/1/37775.

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Kubczyk, Tomasz Miroslaw. "Metal-free C-H functionalisation methods." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27485.

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Rees, M. D. "Moving point, particle and free-Lagrange methods." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235079.

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Schopf, Patrick. "Development and application of free energy methods." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/366938/.

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The development of free energy simulation protocols for calculating relative binding free energies of ligands is presented in this thesis. To this end, the protein Dihydroorotate Dehydrogenase (DHODH), complexed to a highly congeneric series of compounds that show ambiguities in their binding modes, was studied in detail. To estimate the systematic error in force fields, relative free energies of hydration have been calculated using Replica-exchange Thermodynamic Integration (RETI) for sets of force field parameters and atomic partial charges in a classical molecular mechanics environment as well as a novel hybrid molecular mechanics/quantum mechanics model. The results demonstrated that all force fields and methods employed yield similar estimates of the relative free energies, while GAFF and OPLS-AA in conjunction with AM1BCC and AM1CM1A charges, respectively, performed best. To balance accuracy and ease of generating parameters, GAFF in conjunction with AM1BCC charges was selected to be the most valuable for describing the inhibitors in DHODH. To rigorously assess the thermodynamic end states for the ligands, crystal hydrates present in the binding site of DHODH have been investigated using the Just-Add-Water-molecules (JAWS) algorithm, Grand-canonical Monte Carlo (GCMC) simulations and the double-decoupling approach (DDM). These findings clearly suggested a change in hydration networks for both the inhibitors and their different binding modes, while all three approaches essentially yield identical results. This allowed us to construct free energy cycles using the single and dual topology approach in order to calculate the free energies of binding of the ligands as well as the stability of their binding modes. The results obtained were precise within the error of the methods, but not accurate, and allowed to complement the crystallographic findings.
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Yakutovich, Mikhail. "Mesh-free methods for liquid crystal simulation." Thesis, Sheffield Hallam University, 2009. http://shura.shu.ac.uk/20580/.

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The key aim of this Thesis is the development and implementation of a set of simulation techniques for LCs capable of tackling mesoscopic phenomena. In this, we concentrate only on mesh-free particle numerical techniques. Two broad approaches are used, namely bottom-up and top-down. While adopting the bottom-up approach, we employ the DPD method as a foundation for devising a novel LC simulation technique. In this, we associate a traceless symmetric order tensor, Q, with each DPD particle. We then further extend the DPD forces to directly incorporate the Q tensor description so as to recover a more complete representation of LC behaviour. The devised model is verified against a number of qualitative examples and applied to the simulation of colloidal particles immersed in a nematic LC. We also discuss advantages of the developed model for simulation of dynamic mesoscopic LC phenomena. In the top-down approach, we utilise recently emergent numerical mesh-free methods. Specifically, we use the SPH method and its variants. The developed method includes hydrodynamics, variable order parameter and external electric and magnetic fields. The developed technique is validated against a number of analytical and numerical solutions. Subsequently, we apply our top-down methods to the simulation of the complex 3D post-aligned bistable nematic (PABN) device. This includes a smooth geometry representation in order to fully exploit the developed mesh-free numerical techniques. We study both the static and dynamic behaviours of the PABN device for a number of distinct post shapes.
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Silverberg, Jon P. "On Lagrangian meshless methods in free-surface flows." Thesis, (1.7 MB), 2005. http://edocs.nps.edu/AR/topic/theses/2005/Jan/05Jan_Silverberg.pdf.

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Thesis (Master of Engineering in Ocean Engineering)--University of California at Berkeley, 2004.
"January 2005." Description based on title screen as viewed on May 25, 2010. DTIC Descriptor(s): Fluid Dynamics, Lagrangian Functions, Equations Of Motion, Acceleration, Formulations, Grids, Continuum Mechanics, Gaussian Quadrature, Derivatives (Mathematics), Compact Disks, Boundary Value Problems, Polynomials, Interpolation, Pressure, Operators (Mathematics). DTIC Identifier(s): Multimedia (CD-Rom), Moving Grids, Meshless Discretization, Lifs (Lagrange Implicit Fraction Step), Lagrangian Dynamics, Meshless Operators, Mlip (Multidimensional Lagrange Interpolating Polynomials), Flux Boundary Conditions, Radial Basis Functions Includes bibliographical references (58-59).
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Brummelen, Einar Harald van. "Numerical methods for steady viscous free-surface flows." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2002. http://dare.uva.nl/document/64507.

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Shaw, Katherine E. "Testing QM/MM Methods Using Free Energy Simulations." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525442.

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Schraeder, Daniela. "Analytically divergence-free discretization methods for Darcy's problem." Thesis, University of Sussex, 2010. http://sro.sussex.ac.uk/id/eprint/2327/.

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Radial basis functions are well known for their applications in scattered data approximation and interpolation. They can also be applied in collocation methods to solve partial differential equations. We develop and analyse a mesh-free discretization method for Darcy's problem. Our approximation scheme is based upon optimal recovery, which leads to a collocation scheme using divergence-free positive denite kernels. Besides producing analytically incompressible flow fields, our method can be of arbitrary order, works in arbitrary space dimension and for arbitrary geometries. Firstly we establish Darcy's problem. To introduce the scheme we review and study divergence-free and curl-free matrix-valued kernels and their reproducing kernel Hilbert spaces. After developing the scheme, we find the approximation error for smooth target functions and the optimal approximation orders. Furthermore, we develop Sobolev-type error estimates for target functions rougher than the approximating function and show that the approximation properties extend to those functions. To find these error estimates, we apply band-limited approximation. Finally, we illustrate the method with numerical examples.
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Books on the topic "Free methods"

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Maritz, J. S. Distribution-free statistical methods. 2nd ed. London: Chapman & Hall, 1995.

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Liu, G. R. Mesh free methods: Moving beyond the finite element method. 2nd ed. Boca Raton: Taylor & Francis, 2009.

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Mesh free methods: Moving beyond the finite element method. Boca Raton, FL: CRC Press, 2003.

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Liu, G. R. Mesh free methods: Moving beyond the finite element method. Boca Raton, Fla: CRC Press, 2003.

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Weiss, Rüdiger. Parameter-free iterative linear solvers. Berlin: Akademie Verlag, 1996.

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Palestro, James J., Per B. Sederberg, Adam F. Osth, Trisha Van Zandt, and Brandon M. Turner. Likelihood-Free Methods for Cognitive Science. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72425-6.

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Antontsev, S. N., J. I. Díaz, and S. Shmarev. Energy Methods for Free Boundary Problems. Boston, MA: Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0091-8.

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Concus, Paul, and Robert Finn, eds. Variational Methods for Free Surface Interfaces. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4656-5.

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Neittaanmäki, P., ed. Numerical Methods for Free Boundary Problems. Basel: Birkhäuser Basel, 1991. http://dx.doi.org/10.1007/978-3-0348-5715-4.

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Eklof, Paul C. Almost free modules: Set-theoretic methods. Amsterdam: North-Holland, 1990.

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Book chapters on the topic "Free methods"

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Lan, Guanghui. "Projection-Free Methods." In First-order and Stochastic Optimization Methods for Machine Learning, 421–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39568-1_7.

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Fischer, Bernd. "Parameter Free Methods." In Polynomial Based Iteration Methods for Symmetric Linear Systems, 155–211. Wiesbaden: Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-663-11108-5_6.

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Lee, Myoung-jae. "Bandwidth-Free Semiparametric Methods." In Micro-Econometrics, 363–439. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/b60971_8.

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Meurant, Gérard, and Jurjen Duintjer Tebbens. "Transpose-free Lanczos methods." In Springer Series in Computational Mathematics, 411–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55251-0_9.

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Bänsch, Eberhard, Pedro Morin, and Ricardo H. Nochetto. "Finite Element Methods for Surface Diffusion." In Free Boundary Problems, 53–63. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-7893-7_4.

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Schiller, Erich. "Material and Methods." In Free Radicals and Inhalation Pathology, 57–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18619-6_5.

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Molshanski-Mor, Shahar, Ariel Mizrahi, Yelena Ugolev, Iris Dahan, Yevgeny Berdichevsky, and Edgar Pick. "Cell-Free Assays." In Neutrophil Methods and Protocols, 385–428. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-467-4_25.

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Sutin, N. "Free-Energy Relations." In Inorganic Reactions and Methods, 269–71. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470145302.ch103.

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Creutz, C., and N. Sutin. "Free-Energy Relations." In Inorganic Reactions and Methods, 59–64. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470145302.ch29.

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Steffen, Klaus. "Harmonic Maps with Free Boundaries." In Variational Methods, 343–57. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4757-1080-9_24.

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Conference papers on the topic "Free methods"

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Andersen, Geoff, Fassil Ghebremichael, and Ken S. Gurley. "Fast Computing-Free Wavefront Sensing." In Adaptive Optics: Methods, Analysis and Applications. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/aopt.2007.awc4.

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Raimondi, L., C. Svetina, N. Mahne, D. Cocco, F. Capotondi, E. Pedersoli, M. Manfredda, M. Kiskinova, and M. Zangrando. "Active optics systems at FERMI Free Electron Laser." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/aoms.2015.aom4b.1.

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Rolfes, Ilona. "Microwave Free Space Calibration Methods." In 2004 Conference on Precision Electromagnetic Measurements. IEEE, 2004. http://dx.doi.org/10.1109/cpem.2004.305446.

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Lambert, Andrew, Simone Carpenter, Raphael Bellossi, Karin Stein, Marc Eichhorn, and Szymon Gladysz. "Atmospheric Experiments over a 7.2-km Free-Space Path." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/aoms.2020.jw4g.3.

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Chahine, Yousef K., Ferrill Rushton, Brian E. Vyhnalek, and Sarah A. Tedder. "Numerical phase space optics methods and applications to the analysis of fiber coupling efficiency in atmospheric turbulence." In Free-Space Laser Communications XXXIV, edited by Hamid Hemmati and Bryan S. Robinson. SPIE, 2022. http://dx.doi.org/10.1117/12.2607513.

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Komissaruk, V. A., Nikolai P. Mende, and L. N. Popov. "Tomographic study of a supersonic aerodynamic object in free flight." In Analytical Methods for Optical Tomography, edited by Gennady G. Levin. SPIE, 1992. http://dx.doi.org/10.1117/12.131883.

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Sengupta, Ambar N., Piotr Kielanowski, Anatol Odzijewicz, Martin Schlichenmaier, and Theodore Voronov. "The Large-N Yang-Mills Field on the plane and free noise." In GEOMETRIC METHODS IN PHYSICS. AIP, 2008. http://dx.doi.org/10.1063/1.3043851.

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Mentlik, V., J. Pihera, P. Trnka, and P. Martinek. "Partial Discharge Potential Free Test Methods." In 2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena. IEEE, 2006. http://dx.doi.org/10.1109/ceidp.2006.312000.

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Ilunga, Guilherme, and António Leitao. "Derivative-free Methods for Structural Optimization." In eCAADe 2018: Computing for a better tomorrow. eCAADe, 2018. http://dx.doi.org/10.52842/conf.ecaade.2018.1.179.

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Golden, J. M., G. Gentili, and M. Fabrizio. "The Minimum Free Energy of Compressible Viscoelastic Fluids." In Mathematical Models and Methods for Smart Materials. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776273_0013.

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Reports on the topic "Free methods"

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Belytschko, Ted. Crack Propagation by Element-Free Galerkin Methods. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada329723.

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Wolski, A. Beam Conditioning for Free Electron Lasers:Consequences and Methods. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1000382.

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Sprangle, Phillip, Glenn Joyce, B. Hafizi, and Philip Serafim. Methods for Conditioning Electron Beams in Free Electron Lasers. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada338881.

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Price, J. T., J. MacDougal, R. Villeneuve, and J. F. Gransden. Methods for determining pellet volumes and effect on free swelling indices. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/302661.

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Deng, Jie, Jonathan A. Zimmerman, Aidan Patrick Thompson, William Michael Brown, Steven James Plimpton, Xiao Wang Zhou, Gregory John Wagner, and Lindsay Crowl Erickson. Accelerated molecular dynamics and equation-free methods for simulating diffusion in solids. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1030307.

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Ballinger, M., J. Buck, P. Owczarski, and J. Ayer. Methods for describing airborne fractions of free fall spills of powders and liquids. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/5539197.

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Chilton, Lawrence K. Looking-Free Mixed hp Finite Element Methods for Linear and Geometrically Nonlinear Elasticity. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada326255.

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Cordaro, Joseph, Alan Kruizenga, and April Nissen. Thermal characterization and model free kinetics of aged epoxies and foams using TGA and DSC methods. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1104770.

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Cecil, T. C., S. J. Osher, and J. Qian. Simplex Free Adaptive Tree Fast Sweeping and Evolution Methods for Solving Level Set Equations in Arbitrary Dimension. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada438295.

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Acred, Aleksander, Milena Devineni, and Lindsey Blake. Opioid Free Anesthesia to Prevent Post Operative Nausea/Vomiting. University of Tennessee Health Science Center, July 2021. http://dx.doi.org/10.21007/con.dnp.2021.0006.

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Purpose The purpose of this study is to compare the incidence of post-operative nausea and vomiting (PONV) in opioid-utilizing and opioid-free general anesthesia. Background PONV is an extremely common, potentially dangerous side effect of general anesthesia. PONV is caused by a collection of anesthetic and surgical interventions. Current practice to prevent PONV is to use 1-2 antiemetics during surgery, identify high risk patients and utilize tracheal intubation over laryngeal airways when indicated. Current research suggests minimizing the use of volatile anesthetics and opioids can reduce the incidence of PONV, but this does not reflect current practice. Methods In this scoping review, the MeSH search terms used to collect data were “anesthesia”, “postoperative nausea and vomiting”, “morbidity”, “retrospective studies”, “anesthesia, general”, “analgesics, opioid”, “pain postoperative”, “pain management” and “anesthesia, intravenous”. The Discovery Search engine, AccessMedicine and UpToDate were the search engines used to research this data. Filters were applied to these searches to ensure all the literature was peer-reviewed, full-text and preferably from academic journals. Results Opioid free anesthesia was found to decrease PONV by 69%. PONV incidence was overwhelming decreased with opioid free anesthesia in every study that was reviewed. Implications The future direction of opioid-free anesthesia and PONV prevention are broad topics to discuss, due to the nature of anesthesia. Administration of TIVA, esmolol and ketamine, as well as the decision to withhold opioids, are solely up to the anesthesia provider’s discretion. Increasing research and education in the importance of opioid-free anesthesia to decrease the incidence of PONV will be necessary to ensure anesthesia providers choose this protocol in their practice.
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