Perspectives and Problems in Nonlinear Science : A Celebratory Volume in Honor of Lawrence Sirovich

perspectives and problems in nonlinear science : a celebratory volume in honor of lawrence sirovich

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Perspectives and Problems in Nonlinear Science : A Celebratory Volume in Honor of Lawrence Sirovich

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Book Description
This volume is a collection of fourteen papers, written by well-known authors, on aspects of applied mathematics, fluid dynamics, combustion, kinetic theory, condensed matter physics, computational neuroscience, biophysics and closely related areas. There are two uniting themes. First, the papers celebrate the long and durable contributions of Professor Lawrence Sirovich on the occasion of his turning seventy. Second, the threads of nonlinearity weave through all the problems discussed. The papers combine original research with expository style and make a fascinating reading for a diverse readership in applied mathematics and science.

Perspectives and Problems in Nonlinear Science: A Celebratory Volume in Honor of Lawrence Sirovich,Ehud Kaplan,Jerrold E. Marsden,Katepalli R. Sreenivasan,Springer,0387003126,Applied,Life Sciences - Biophysics,Mathematical Analysis,Mathematics,Nonlinear theories,Science/Mathematics,Mathematics / Applied,Non-linear science

Books Info:

  1. Polynomial Identities and Combinatorial Methods (Lecture Notes in Pure and Applied Mathematics)
  2. Polynomial Operator Equations in Abstract Spaces and Applications
  3. Progress in Industrial Mathematics at ECMI 2002 (Mathematics in Industry / The European Consortium for Mathematics in Industry)
  4. Semigroup Algebras (Pure and Applied Mathematics (Marcel Dekker))
  5. Soft Computing in Software Engineering (Studies in Fuzziness and Soft Computing)
  6. Spectral and Scattering Theory (Lecture Notes in Pure and Applied Mathematics)
  7. Spectral Computations for Bounded Operators
  8. Spectral Functions in Mathematics and Physics
  9. Statistical and Probabilistic Models in Reliability (Statistics for Industry and Technology)
  10. Statistical Signal Processing: Modelling and Estimation

Books Info

Books Info

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