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Leading-Edge Applied Mathematical Modeling Research

Editat de Matias P. Alvarez
en Limba Engleză Hardback – 31 dec 2007
This book covers new and significant research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
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Specificații

ISBN-13: 9781600219771
ISBN-10: 1600219772
Pagini: 384
Ilustrații: tables & charts
Dimensiuni: 189 x 264 x 32 mm
Greutate: 1.04 kg
Editura: Nova Science Publishers Inc

Cuprins

Preface; Expert commentary; Estimation technique using covariance information with relation to wavelet transform in linear discrete stochastic systems; Research and review articles; A particle-based approach to sedimentation and fluidization; Research trends in stochastic flow modeling the upper ocean turbulence; Various control schemes of the production planning problem; Hamilton's principle for the derivation of equations of motion; Intelligent manufacturing system scheduling based on petri net modeling; An effective high-order point-collocation numerical approach based on integrated approximants for elliptic differential equations; The generalized finite difference model; Mathematical models of QoS management for communication networks; Two-sided bounds on the differenceR(t)=Phi(t)-Psi(t) between the continuous and discrete evolution operators as well as on $R(t)x0=Phi(t)x0-Psi(t)x0; A superposition-based parallel discrete operator splitting finite element method for incompressible navier-stokes flows; Stationary distributions for branching processes with multitype random control functions; Index.