The Application Of Mathematics In Industry

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The Application of Mathematics in Industry

Author: R.S. Anderssen
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-04-17
This publication reports the proceedings of a one-day seminar on The AppZicatian af Mathematics in Industry held at the Australian National University on Wednesday, December 3, 1980. It was organized jointly by the Division of Mathematics and Statistics, CSIRO, and the Departments of Pure and Applied Mathematics, The Faculty of Science, Australian National University. A paper based on the talk "Some uses of statistically designed experiments in industrial problems" given by N.B. Carter at the Seminar was not received by the editors. Though R.M. Lewis of John Lysaght (Australia) Limited did not present a talk, the editors invited him to submit a paper. They only learnt about his work after the program for the seminar had been finalized and publicized. His paper appears as the last paper in these proceedings and is entitled "A simple model for coil interior temperature prediction during batch annealing". The seminar was opened by Dr J.R. Philip, FAA, FRS, Director of the Physical Sciences Institute, CSIRO. He kindly agreed to supply an edited version of his comments for inclusion in the proceedings. They follow the Foreword as Opening Remarks.
Advances in Mathematics for Industry 4.0

Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision making, including mathematical and optimization techniques for dealing with large amount of data in short periods.
Industrial Mathematics

Author: Glenn R. Fulford
language: en
Publisher: Cambridge University Press
Release Date: 2002
An undergraduate text focussing on mathematical modelling stimulated by contemporary industrial problems.