H Neunzert

Industrial Mathematics is a relatively recent discipline. It is concerned primarily with transforming technical, organizational and economic problems posed by indus­ try into mathematical problems; "solving" these problems byapproximative methods of analytical and/or numerical nature; and finally reinterpreting the results in terms of the original problems. In short, industrial mathematics is modelling and scientific computing of industrial problems. Industrial mathematicians are bridge-builders: they build bridges from the field of mathematics to the practical world; to do that they need to know about both sides, the problems from the companies and ideas and methods from mathematics. As mathematicians, they have to be generalists. If you enter the world of indus­ try, you never know which kind of problems you will encounter, and which kind of mathematical concepts and methods you will need to solve them. Hence, to be a good "industrial mathematician" you need to know a good deal of mathematics as well as ideas already common in engineering and modern mathematics with tremen­ dous potential for application. Mathematical concepts like wavelets, pseudorandom numbers, inverse problems, multigrid etc., introduced during the last 20 years have recently started entering the world of real applications. Industrial mathematics consists of modelling, discretization, analysis and visu­ alization. To make a good model, to transform the industrial problem into a math­ ematical one such that you can trust the prediction of the model is no easy task.

Industrial Mathematics is a relatively recent discipline. It is concerned primarily with transforming technical, organizational and economic problems posed by indus­ try into mathematical problems; "solving" these problems byapproximative methods of analytical and/or numerical nature; and finally reinterpreting the results in terms of the original problems. In short, industrial mathematics is modelling and scientific computing of industrial problems. Industrial mathematicians are bridge-builders: they build bridges from the field of mathematics to the practical world; to do that they need to know about both sides, the problems from the companies and ideas and methods from mathematics. As mathematicians, they have to be generalists. If you enter the world of indus­ try, you never know which kind of problems you will encounter, and which kind of mathematical concepts and methods you will need to solve them. Hence, to be a good "industrial mathematician" you need to know a good deal of mathematics as well as ideas already common in engineering and modern mathematics with tremen­ dous potential for application. Mathematical concepts like wavelets, pseudorandom numbers, inverse problems, multigrid etc., introduced during the last 20 years have recently started entering the world of real applications. Industrial mathematics consists of modelling, discretization, analysis and visu­ alization. To make a good model, to transform the industrial problem into a math­ ematical one such that you can trust the prediction of the model is no easy task.

Dieses Lehr- und Arbeitsbuch bietet dem Studienanfänger aus Physik und Ingenieurwissenschaften, der Praxis im Umgang mit der Mathematik erwerben möchte, durch Darstellung und didaktische Gestaltung wertvolle Hilfestellung bei der Erarbeitung mathematischen Grundwissens. Die Gestaltung des Textes, die den Leser immer wieder anregt, Gedankenschritte selbst zu vollziehen, weiterzuführen, Verbindungen herzustellen, Rechnungen nachzuvollziehen und die eigenen Kenntnisse zu überprüfen, bietet hier größtmögliche Unterstützung. Immer wieder werden anwendungsbezogene Beispiele gegeben und ausführlich bearbeitet. Definitionen und Sätze sind vollständig formuliert. Beweise werden nur da weggelassen, wo sie weder dem Verständnis des Satzes noch dem Einüben bestimmter Schlußweisen oder Begriffe dienen. Bei der Bearbeitung der ca. 250 Aufgaben wird dem Studenten eine gestufte Hilfestellung in Form von Lösungshinweisen und der kompletten Lösung gegeben.