Additional information
by P. L. Sachdev (Author), Ch Srinivasa Rao (Author)
A large number of physical phenomena are modeled by nonlinear partial
differential equations, subject to appropriate initial/ boundary conditions; these
equations, in general, do not admit exact solution. The present monograph gives
constructive mathematical techniques which bring out large time behavior of
solutions of these model equations. These approaches, in conjunction with modern
computational methods, help solve physical problems in a satisfactory manner. The
asymptotic methods dealt with here include self-similarity, balancing argument,
and matched asymptotic expansions. The physical models discussed in some detail
here relate to porous media equation, heat equation with absorption, generalized
Fisher's equation, Burgers equation and its generalizations. A chapter each is
devoted to nonlinear diffusion and fluid mechanics. The present book will be found
useful by applied mathematicians, physicists, engineers and biologists, and would
considerably help understand diverse natural phenomena.
Back Jacket
A large number of physical phenomena are modeled by nonlinear partial differential equations, subject to appropriate initial/ boundary conditions; these equations, in general, do not admit exact solution. The present monograph gives constructive mathematical techniques which bring out large time behavior of solutions of these model equations. These approaches, in conjunction with modern computational methods, help solve physical problems in a satisfactory manner.
The asymptotic methods dealt with here include self-similarity, balancing argument, and matched asymptotic expansions. The physical models discussed in some detail here relate to porous media equation, heat equation with absorption, generalized Fisher's equation, Burgers equation and its generalizations.
A chapter each is devoted to nonlinear diffusion and fluid mechanics. The present book will be found useful by applied mathematicians, physicists, engineers and biologists, and would considerably help understand diverse natural phenomena.
