Books on the topic 'Processo de finitude'
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Zohoor, Mehdi. Finite element modelling of the combined extrusion process. University of Birmingham, 1991.
Find full textHu, Zhongmin. Finite element modelling of the ring-rolling process. University of Birmingham, 1995.
Find full textM, Hackett Robert, and United States. National Aeronautics and Space Administration., eds. Pultrusion process characterization: Final report, NASA contract, NAS8-37193. National Aeronautics and Space Administration, 1991.
Find full textCenter, Ames Research, ed. Finite element aircraft simulation of turbulence. Ames Research Center, 1995.
Find full textNational Institute of Standards and Technology (U.S.), ed. Finite precision representation of the Conley decomposition. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Find full textNour-Omid, Shahram. The computational structural mechanics testbed structural element processor ES6: STAGS beam element. Langley Research Center, 1991.
Find full textRankin, Charles C. The computational structural mechanics testbed structural element processor ES5: STAGS shell element. Langley Research Center, 1991.
Find full textVillablanca, Luis. Mesh generation algorithms for three-dimensional semiconductor process simulation. Hartung-Gorre, 2000.
Find full textNir, Abraham. Finite horizon control limits for a partially observable Markov chain. Tel Aviv University, Faculty of Management, Leon Recanati Graduate School of Business Administration, 1988.
Find full textBass, Andrew Paul. The transformational implementation of JSD process specifications via finite automata representation. Aston University. Department of Computing Science and Applied Mathematics, 1992.
Find full textClarke, R. B. Integration of finite element analysis techniques within the total design process. The Author), 1989.
Find full textMariano, Roberto S. Finite-sample properties of stochastic predictors in nonlinear systems: Some initial results. Department of Economics, University of Warwick, 1985.
Find full textMariano, Roberto S. Finite-sample properties of stochastic predictors in nonlinear systems: Some initial results. University of Warwick Department of Economics, 1985.
Find full textElsner, Guido. Distributions of values of indefinite forms and higher-order spectral estimates for finite Markov chains. [s.n.], 2007.
Find full textElsner, Guido. Distributions of values of indefinite forms and higher-order spectral estimates for finite Markov chains. [s.n.], 2007.
Find full textArthur, Raefsky, Hager Bradford H, and Jet Propulsion Laboratory (U.S.), eds. Finite elements and the method of conjugate gradients on a concurrent processor. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology?, 1985.
Find full textXu, Qiang. Experimental and finite element investigations of deformation of roll-platen forming process. University of Birmingham, 1996.
Find full textK, Najim, and Gomez-Ramirez E. 1968-, eds. Self-learning control of finite Markov chains. Marcel Dekker, 2000.
Find full textMurphree, Jon Tal. Divine paradoxes: A finite view of an infinite God : a response to process and openness theologies. Christian Publications, 1998.
Find full textBas Jan Emile van Rens. Finite element simulation of the aluminum extrusion process: Shape prediction for complex profiles. Technische Universiteit Eindhoven, 1999.
Find full textReiner, Victor. Spectra of symmetrized shuffling operators. American Mathematical Society, 2013.
Find full textFu, James C. Distribution theory of runs and patterns and its applications: A finite markow chain imbedding approach. World Scientific, 2003.
Find full textHilber, Norbert. Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing. Springer Berlin Heidelberg, 2013.
Find full textJoy, Vineetha, G. L. Rajeshwari, Hema Singh, and Raveendranath U. Nair. Fundamentals of RCS Prediction Methodology using Parallelized Numerical Electromagnetics Code (NEC) and Finite Element Pre-processor. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7164-0.
Full textScott, J. C. A statistical processor for analyzing simulations made using the modular finite-difference ground-water flow model. Dept. of the Interior, U.S. Geological Survey, 1990.
Find full textBounds, S. M. Modelling the thermal behaviour of the pressure die casting process using boundary and finite element methods. UMIST, 1995.
Find full textRimkus, Wolfgang. Simulation and optimisation of the Interior High Pressure (IHP) manufacturing process using the Finite Element Method (FEA). University of Wolverhampton, 2000.
Find full textVerdière, Yves Colin de. Spectres de graphes. Société mathématique de France, 1998.
Find full textQuiza, Ramón. Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method. Springer Berlin Heidelberg, 2012.
Find full textStan, Pilkington, Institution of Chemical Engineers (Great Britain), and British Materials Handling Board, eds. Process vessels subject to explosion risk: Design guidelines for the pressure rating of weak process vessels subject to explosion risk. Institution of Chemical Engineers, 2000.
Find full textSchmid, Wolfgang. User guide for the Farm Process (FMP1) for the U.S. Geological Survey's modular three-dimensional finite-difference ground-water flow model, MODFLOW-2000. U.S. Geological Survey, 2006.
Find full textFinite Markov chains and algorithmic applications. Cambridge University Press, 2002.
Find full textIosifescu, Marius. Finite Markov Processes and Their Applications. Dover Publications, 2007.
Find full textIosifescu, Marius. Finite Markov Processes and Their Applications. Dover Publications, Incorporated, 2011.
Find full textNajim, Kaddour, E. Gomez-Ramirez, and A. S. Poznyak. Self-Learning Control of Finite Markov Chains. Taylor & Francis Group, 2018.
Find full textNajim, Kaddour, E. Gomez-Ramirez, and A. S. Poznyak. Self-Learning Control of Finite Markov Chains. Taylor & Francis Group, 2018.
Find full textGomez-Ramirez, E., Alexander S. Poznyak, and K. Najim. Self-Learning Control of Finite Markov Chains. Taylor & Francis Group, 2019.
Find full textNajim, Kaddour, E. Gomez-Ramirez, and A. S. Poznyak. Self-Learning Control of Finite Markov Chains. Taylor & Francis Group, 2018.
Find full textNajim, Kaddour, E. Gomez-Ramirez, and A. S. Poznyak. Self-Learning Control of Finite Markov Chains. Taylor & Francis Group, 2018.
Find full textProcess Modelling and Simulation with Finite Element Methods. World Scientific Publishing Co Pte Ltd, 2004.
Find full textKeates, Simeon, and Michael Okereke. Finite Element Applications: A Practical Guide to the FEM Process. Springer, 2018.
Find full textKeates, Simeon, and Michael Okereke. Finite Element Applications: A Practical Guide to the FEM Process. Springer, 2019.
Find full textSpanos, Pol D., and Roger G. Ghanem. Stochastic Finite Elements: A Spectral Approach, Revised Edition. Dover Publications, 2013.
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