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Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
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Nonlinear Stochastic Evolution Problems in Applied Sciences (Hardcover, 1992 ed.)
Loot Price: R1,535
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Nonlinear Stochastic Evolution Problems in Applied Sciences (Hardcover, 1992 ed.)
Series: Mathematics and Its Applications, 82
Expected to ship within 18 - 22 working days
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This volume deals with the analysis of nonlinear evolution problems
described by partial differential equations having random or
stochastic parameters. The emphasis throughout is on the actual
determination of solutions, rather than on proving the existence of
solutions, although mathematical proofs are given when this is
necessary from an applications point of view. The content is
divided into six chapters. Chapter 1 gives a general presentation
of mathematical models in continuum mechanics and a description of
the way in which problems are formulated. Chapter 2 deals with the
problem of the evolution of an unconstrained system having random
space-dependent initial conditions, but which is governed by a
deterministic evolution equation. Chapter 3 deals with the
initial-boundary value problem for equations with random initial
and boundary conditions as well as with random parameters where the
randomness is modelled by stochastic separable processes. Chapter 4
is devoted to the initial-boundary value problem for models with
additional noise, which obey Ito-type partial differential
equations. Chapter 5 is essential devoted to the qualitative and
quantitative analysis of the chaotic behaviour of systems in
continuum physics. Chapter 6 provides indications on the solution
of ill-posed and inverse problems of stochastic type and suggests
guidelines for future research. The volume concludes with an
Appendix which gives a brief presentation of the theory of
stochastic processes. Examples, applications and case studies are
given throughout the book and range from those involving simple
stochasticity to stochastic illposed problems. For applied
mathematicians, engineers and physicists whosework involves solving
stochastic problems.
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