Bentham is offering subject-based scholarly content collections which are tailored to meet specific research needs. Researchers can access related articles from current and back volumes by purchasing access to these collections. Subscribers will also have access to new articles as soon as they are published and added to these collections. With new articles being added to these collections on a daily basis, the collections serve as an ideal tool to keep researchers updated with new developments in the respective fields.
Author(s): Costica MOROSANU
Pp: 185-246 (62)
DOI: 10.2174/978160805350611201010185
* (Excluding Mailing and Handling)
Two topics will be covered in this Chapter:
• numerical approximation of the solution of nonlinear phase-field transition system;
• numerical approximation of boundary optimal control, governed by phase-field transition system. For both subjects we consider the phase-field system with non-homogeneous Cauchy-Neumann boundary conditions:....
Keywords: Nonlinear parabolic systems, free boundary problems for PDE, optimal control, inverse problems, methods of approximations based on necessary conditions, numerical analysis, finite difference methods, finite element method, fractional steps method (Lie-Trotter product formula), stability of numerical methods, computer science, analysis of algorithms, methods of gradient type, phase changes, mathematical modeling, applications in engineering and industry.
Cite this chapter as:
Methods of Approximation and Algorithms, Analysis and Optimal Control of Phase-Field Transition System: Fractional Steps Methods (2012) 1: 185. https://doi.org/10.2174/978160805350611201010185
Boundary Element Methods for Heat Transfer with Phase Change Problems: Theory and Application
On Generalized Growth rates of Integer Translated Entire and Meromorphic Functions
Introductory Statistics
Advanced Mathematical Applications in Data Science
Advanced Calculus - Fundamentals of Mathematics
Advanced Numerical Methods for Complex Environmental Models: Needs and Availability
Advances in Time Series Forecasting
Current Developments in Mathematical Sciences