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The aim of this book is to provide an introduction to the increasingly exploited technology of Hot Isostatic Pressing (HIPping). It is intended for two audiences. Firstly, the manufacturing or design engineer who may not have a materials science background, but who needs to develop an appreciation of the scope of the HIPping process. Secondly, the engineering or materials undergraduate who needs to understand how HIPping as a modern manufacturing method can offer potential improvements to material properties relative to more conventional techniques. In view of the breadth of potential readership the text is written as far as possible in such a way that technical terms are explained as the reader goes along. There is little mathematics and the focus is on discussing the principal issues. For the reader who wishes to pursue the subject a further reading section has been compiled. For the student, a number of worked examples are also provided. Most of the worked examples are accessible to anyone with a good grasp of A-level physics.
The volume is dedicated to Professor David Elworthy to celebrate his fundamental contribution and exceptional influence on stochastic analysis and related fields. Stochastic analysis has been profoundly developed as a vital fundamental research area in mathematics in recent decades. It has been discovered to have intrinsic connections with many other areas of mathematics such as partial differential equations, functional analysis, topology, differential geometry, dynamical systems, etc. Mathematicians developed many mathematical tools in stochastic analysis to understand and model random phenomena in physics, biology, finance, fluid, environment science, etc. This volume contains 12 comprehensive review/new articles written by world leading researchers (by invitation) and their collaborators. It covers stochastic analysis on manifolds, rough paths, Dirichlet forms, stochastic partial differential equations, stochastic dynamical systems, infinite dimensional analysis, stochastic flows, quantum stochastic analysis and stochastic Hamilton Jacobi theory. Articles contain cutting edge research methodology, results and ideas in relevant fields. They are of interest to research mathematicians and postgraduate students in stochastic analysis, probability, partial differential equations, dynamical systems, mathematical physics, as well as to physicists, financial mathematicians, engineers, etc.
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