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Adjoint Equations and Perturbation Algorithms in Nonlinear Problems
Engelsk
Bogcover for Adjoint Equations and Perturbation Algorithms in Nonlinear Problems af Guri I. Marchuk, Valeri I. Agoshkov, Victor P. Shutyaev, 9780367448585
Specifikationer
Sprog:
Engelsk
Sider:
288
ISBN-13:
9780367448585
Indbinding:
Paperback
ISBN-10:
0367448580
Udg. Dato:
30 jun 2020
Størrelse i cm:
15,5 x 23,2 x 2,2
Oplagsdato:
30 jun 2020

Adjoint Equations and Perturbation Algorithms in Nonlinear Problems

Engelsk
Paperback 2020
Format:

Bog beskrivelse
Sparked by demands inherent to the mathematical study of pollution, intensive industry, global warming, and the biosphere, Adjoint Equations and Perturbation Algorithms in Nonlinear Problems is the first book ever to systematically present the theory of adjoint equations for nonlinear problems, as well as their application to perturbation algorithms. This new approach facilitates analysis of observational data, the application of adjoint equations to retrospective study of processes governed by imitation models, and the study of computer models themselves. Specifically, the book discusses:
  • Principles for constructing adjoint operators in nonlinear problems
  • Properties of adjoint operators and solvability conditions for adjoint equations
  • Perturbation algorithms using the adjoint equations theory for nonlinear problems in transport theory, quasilinear motion, substance transfer, and nonlinear data assimilation
  • Known results on adjoint equations and perturbation algorithms in nonlinear problems

    This groundbreaking text contains some results that have no analogs in the scientific literature, opening unbounded possibilities in construction and application of adjoint equations to nonlinear problems of mathematical physics.





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    Specifikationer
    Sprog:
    Engelsk
    Sider:
    288
    ISBN-13:
    9780367448585
    Indbinding:
    Paperback
    ISBN-10:
    0367448580
    Udg. Dato:
    30 jun 2020
    Størrelse i cm:
    15,5 x 23,2 x 2,2
    Oplagsdato:
    30 jun 2020
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