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FEATool Multiphysics is a fully integrated physics and PDE simulation environment where the modeling process is subdivided into six steps; preprocessing (CAD and geometry modeling), mesh and grid generation, physics and PDE specification, boundary condition specification, solution, and postprocessing and visualization.
MFEM is a free, lightweight, scalable C++ library for finite element methods that features arbitrary high-order finite element meshes and spaces, support for a wide variety of discretizations, and emphasis on usability, generality, and high-performance computing efficiency.
Software systems of this kind leverage diverse concepts from other software categories like PLM, manufacturing execution system (MES), ECM but focus on tools to speed up the technology development rather than the production. A PDES is similar to a manufacturing execution systems (MES) in several ways. The key distinguishing factor of a PDES is ...
In mathematics, a partial differential equation (PDE) is an equation which involves a multivariable function and one or more of its partial derivatives.. The function is often thought of as an "unknown" that solves the equation, similar to how x is thought of as an unknown number solving, e.g., an algebraic equation like x 2 − 3x + 2 = 0.
The hybrid Trefftz finite-element method has been considerably advanced since its introduction by J. Jiroušek in the late 1970s. [1] The conventional method of finite element analysis involves converting the differential equation that governs the problem into a variational functional from which element nodal properties – known as field variables – can be found.
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Sewell's primary work is on the solution of differential equations. He published "The Numerical Solution of Ordinary and Partial Differential Equations, Third Edition," World Scientific Publishing, 2014 ISBN 978-981-4635-09-7. His major development effort has been the equation solver PDE2D--A general-purpose PDE solver.
As above, the PDE is expressed in a discretized form, using finite differences, and the evolution in the option price is then modelled using a lattice with corresponding dimensions: time runs from 0 to maturity; and price runs from 0 to a "high" value, such that the option is deeply in or out of the money. The option is then valued as follows: [5]