227,42 €
252,69 €
-10% with code: EXTRA
Free Energy and Self-Interacting Particles
Free Energy and Self-Interacting Particles
227,42
252,69 €
  • We will send in 10–14 business days.
Examines a nonlinear system of parabolic PDEs arising in mathematical biology and statistical mechanics. The work describes the mathematical and physical principles: derivation of a series of equations, biological modeling based on biased random walks, the study of equilibrium states via the variational structure derived from the free energy, and the quantized blowup mechanism based on several PDE techniques. Suitable for researchers and graduate students of math and applied math interested in…
252.69
  • Publisher:
  • ISBN-10: 0817643028
  • ISBN-13: 9780817643027
  • Format: 15.8 x 24.2 x 2.3 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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Examines a nonlinear system of parabolic PDEs arising in mathematical biology and statistical mechanics. The work describes the mathematical and physical principles: derivation of a series of equations, biological modeling based on biased random walks, the study of equilibrium states via the variational structure derived from the free energy, and the quantized blowup mechanism based on several PDE techniques. Suitable for researchers and graduate students of math and applied math interested in nonlinear PDEs in stochastic processes, cellular automatons, variational methods, and their applications to natural sciences.

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  • Author: Takashi Suzuki
  • Publisher:
  • ISBN-10: 0817643028
  • ISBN-13: 9780817643027
  • Format: 15.8 x 24.2 x 2.3 cm, kieti viršeliai
  • Language: English English

Examines a nonlinear system of parabolic PDEs arising in mathematical biology and statistical mechanics. The work describes the mathematical and physical principles: derivation of a series of equations, biological modeling based on biased random walks, the study of equilibrium states via the variational structure derived from the free energy, and the quantized blowup mechanism based on several PDE techniques. Suitable for researchers and graduate students of math and applied math interested in nonlinear PDEs in stochastic processes, cellular automatons, variational methods, and their applications to natural sciences.

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