Mathematical Modelling [electronic resource] : Case Studies and Projects /
Over the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical material tends to be rather tailor made to fit in with a one or two semester course for teaching students at the undergraduate or postgraduate level, usually the former. This textbook is quite different in that it is intended to build on and enhance students’ modelling skills using a combination of case studies and projects.
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Format: | Texto biblioteca |
Language: | eng |
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Dordrecht : Springer Netherlands,
2004
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Subjects: | Mathematics., Numerical analysis., Algorithms., Mathematical models., Mechanics., Engineering., Mathematical Modeling and Industrial Mathematics., Engineering, general., Numeric Computing., |
Online Access: | http://dx.doi.org/10.1007/1-4020-1993-9 |
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Mathematics. Numerical analysis. Algorithms. Mathematical models. Mechanics. Engineering. Mathematics. Mathematical Modeling and Industrial Mathematics. Engineering, general. Mechanics. Numeric Computing. Algorithms. Mathematics. Numerical analysis. Algorithms. Mathematical models. Mechanics. Engineering. Mathematics. Mathematical Modeling and Industrial Mathematics. Engineering, general. Mechanics. Numeric Computing. Algorithms. |
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Mathematics. Numerical analysis. Algorithms. Mathematical models. Mechanics. Engineering. Mathematics. Mathematical Modeling and Industrial Mathematics. Engineering, general. Mechanics. Numeric Computing. Algorithms. Mathematics. Numerical analysis. Algorithms. Mathematical models. Mechanics. Engineering. Mathematics. Mathematical Modeling and Industrial Mathematics. Engineering, general. Mechanics. Numeric Computing. Algorithms. Caldwell, Jim. editor. Ng, Douglas K. S. editor. SpringerLink (Online service) Mathematical Modelling [electronic resource] : Case Studies and Projects / |
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Over the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical material tends to be rather tailor made to fit in with a one or two semester course for teaching students at the undergraduate or postgraduate level, usually the former. This textbook is quite different in that it is intended to build on and enhance students’ modelling skills using a combination of case studies and projects. |
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Mathematics. Numerical analysis. Algorithms. Mathematical models. Mechanics. Engineering. Mathematics. Mathematical Modeling and Industrial Mathematics. Engineering, general. Mechanics. Numeric Computing. Algorithms. |
author |
Caldwell, Jim. editor. Ng, Douglas K. S. editor. SpringerLink (Online service) |
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Caldwell, Jim. editor. Ng, Douglas K. S. editor. SpringerLink (Online service) |
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Caldwell, Jim. editor. |
title |
Mathematical Modelling [electronic resource] : Case Studies and Projects / |
title_short |
Mathematical Modelling [electronic resource] : Case Studies and Projects / |
title_full |
Mathematical Modelling [electronic resource] : Case Studies and Projects / |
title_fullStr |
Mathematical Modelling [electronic resource] : Case Studies and Projects / |
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Mathematical Modelling [electronic resource] : Case Studies and Projects / |
title_sort |
mathematical modelling [electronic resource] : case studies and projects / |
publisher |
Dordrecht : Springer Netherlands, |
publishDate |
2004 |
url |
http://dx.doi.org/10.1007/1-4020-1993-9 |
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AT caldwelljimeditor mathematicalmodellingelectronicresourcecasestudiesandprojects AT ngdouglaskseditor mathematicalmodellingelectronicresourcecasestudiesandprojects AT springerlinkonlineservice mathematicalmodellingelectronicresourcecasestudiesandprojects |
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KOHA-OAI-TEST:1717392018-07-30T22:49:01ZMathematical Modelling [electronic resource] : Case Studies and Projects / Caldwell, Jim. editor. Ng, Douglas K. S. editor. SpringerLink (Online service) textDordrecht : Springer Netherlands,2004.engOver the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical material tends to be rather tailor made to fit in with a one or two semester course for teaching students at the undergraduate or postgraduate level, usually the former. This textbook is quite different in that it is intended to build on and enhance students’ modelling skills using a combination of case studies and projects.Ordinary Differential Equations -- Deterministic Model in Contagious Disease -- Electromagnetic Forces in High Field Magnet Coils -- Mass Balance of a Reactor in Steady State -- The Free and Forced Vibration of an Automobile -- Cantilever Beam Subjected to an End Load -- ODE Problems -- Partial Differential Equations -- Cylindrical and Spherical Solidification in Heat Transfer -- Elastic Analysis of a Square Plate with Circular Holes -- Motion of Fluid Layers -- Mass Balance of a Reactor with Time Dependency -- Flow Through Porous Media -- PDE Problems -- Optimization -- Linear Programming Problem Involving Wine Production -- Transportation Problem Involving Breweries and Hotels -- Profit from an Engineering Plant -- Optimization of Manufacture of Personal Computers -- Air Freight Transportation Problem -- Optimization Problems.Over the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical material tends to be rather tailor made to fit in with a one or two semester course for teaching students at the undergraduate or postgraduate level, usually the former. This textbook is quite different in that it is intended to build on and enhance students’ modelling skills using a combination of case studies and projects.Mathematics.Numerical analysis.Algorithms.Mathematical models.Mechanics.Engineering.Mathematics.Mathematical Modeling and Industrial Mathematics.Engineering, general.Mechanics.Numeric Computing.Algorithms.Springer eBookshttp://dx.doi.org/10.1007/1-4020-1993-9URN:ISBN:9781402019937 |