Computational science and engineering (CSE) is a relatively new discipline that deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design (computational engineering) as well as natural phenomena (computational science). CSE has been described as the "third mode of discovery" (next to theory and experimentation).[1]
In many fields, computer simulation is essential to business and research. Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. CSE should neither be confused with pure computer science, nor with computer engineering, although a wide domain in the former is used in CSE (e.g., certain algorithms, data structures, parallel programming, high performance computing) and some problems in the latter can be modeled and solved with CSE methods (as an application area).
Algorithms for solving discrete and continuous problems
Analysis and visualization of data
Mathematical foundations: Numerical and applied linear algebra, initial & boundary value problems, Fourier analysis, optimization
Data Science for developing methods and algorithms to handle and extract knowledge from large scientific data
With regard to computing, computer programming, algorithms, and parallel computing play a major role in CSE. The most widely used programming language in the scientific community is FORTRAN.[3] Recently, C++ and C have increased in popularity over FORTRAN. Due to the wealth of legacy code in FORTRAN and its simpler syntax, the scientific computing community has been slow in completely adopting C++ as the lingua franca. Because of its very natural way of expressing mathematical computations, and its built-in visualization capacities, the proprietary language/environment MATLAB is also widely used, especially for rapid application development and model verification. Python along with external libraries (such as NumPy, SciPy, Matplotlib) has gained some popularity as a free and Copycenter alternative to MATLAB.
Biology and Medicine: protein folding simulations (and other macromolecules), bioinformatics, genomics, computational neurological modeling, modeling of biological systems (e.g., ecological systems), 3D CT ultrasound, MRI imaging, molecular bionetworks, cancer and seizure control
Chemistry: calculating the structures and properties of chemical compounds/molecules and solids, computational chemistry/cheminformatics, molecular mechanics simulations, computational chemical methods in solid state physics, chemical pollution transport
^(PDF). cseprograms.gatech.edu. September 2009. Archived from the original (PDF) on 2014-10-14. Retrieved 2012-04-08.
^"Graduate and Undergraduate Programs in Computational Science". SIAM. Retrieved 2020-05-23.
^"Why is fortran extensively used in scientific computing and not any other language?". ResearchGate. Retrieved 2020-05-23.
External links
Oden Institute for Computational Engineering and Sciences
Scope of Computational engineering
Society of Industrial and Applied Mathematics
International Centre for Computational Engineering (IC2E)
Georgia Institute of Technology, USA, MS/PhD Programme Computational Science & Engineering
Computational Science and Engineering with Scilab
Internacional Center for Numerical Methods in Engineering (CIMNE)
February 06, 2023
computational, engineering, computational, science, engineering, relatively, discipline, that, deals, with, development, application, computational, models, simulations, often, coupled, with, high, performance, computing, solve, complex, physical, problems, ar. Computational science and engineering CSE is a relatively new discipline that deals with the development and application of computational models and simulations often coupled with high performance computing to solve complex physical problems arising in engineering analysis and design computational engineering as well as natural phenomena computational science CSE has been described as the third mode of discovery next to theory and experimentation 1 Simulation of an experimental engine The topic of this article may not meet Wikipedia s general notability guideline Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention If notability cannot be shown the article is likely to be merged redirected or deleted Find sources Computational engineering news newspapers books scholar JSTOR May 2020 Learn how and when to remove this template message Not to be confused with Computer engineering In many fields computer simulation is essential to business and research Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive CSE should neither be confused with pure computer science nor with computer engineering although a wide domain in the former is used in CSE e g certain algorithms data structures parallel programming high performance computing and some problems in the latter can be modeled and solved with CSE methods as an application area It is typically offered as a masters or doctorate program 2 Contents 1 Methods 2 Applications 3 See also 4 References 5 External linksMethods EditComputational Science and Engineering methods and frameworks include High performance computing and techniques to gain efficiency through change in computer architecture parallel algorithms etc Modeling and simulation Algorithms for solving discrete and continuous problems Analysis and visualization of data Mathematical foundations Numerical and applied linear algebra initial amp boundary value problems Fourier analysis optimization Data Science for developing methods and algorithms to handle and extract knowledge from large scientific dataWith regard to computing computer programming algorithms and parallel computing play a major role in CSE The most widely used programming language in the scientific community is FORTRAN 3 Recently C and C have increased in popularity over FORTRAN Due to the wealth of legacy code in FORTRAN and its simpler syntax the scientific computing community has been slow in completely adopting C as the lingua franca Because of its very natural way of expressing mathematical computations and its built in visualization capacities the proprietary language environment MATLAB is also widely used especially for rapid application development and model verification Python along with external libraries such as NumPy SciPy Matplotlib has gained some popularity as a free and Copycenter alternative to MATLAB Applications Edit A numerical solution to the heat equation on a pump casing model using the finite element method Computational Science and Engineering finds diverse applications including in Aerospace Engineering and Mechanical Engineering combustion simulations structural dynamics computational fluid dynamics computational thermodynamics computational solid mechanics vehicle crash simulation biomechanics trajectory calculation of satellites Astrophysical systems Battlefield simulations and military gaming homeland security emergency response Biology and Medicine protein folding simulations and other macromolecules bioinformatics genomics computational neurological modeling modeling of biological systems e g ecological systems 3D CT ultrasound MRI imaging molecular bionetworks cancer and seizure control Chemistry calculating the structures and properties of chemical compounds molecules and solids computational chemistry cheminformatics molecular mechanics simulations computational chemical methods in solid state physics chemical pollution transport Civil Engineering finite element analysis structures with random loads construction engineering water supply systems transportation vehicle modeling Computer Engineering Electrical Engineering and Telecommunications VLSI computational electromagnetics semiconductor modeling simulation of microelectronics energy infrastructure RF simulation networks Epidemiology influenza spread Environmental Engineering and Numerical weather prediction climate research Computational geophysics seismic processing modeling of natural disasters Finance derivative pricing risk management Industrial Engineering discrete event and Monte Carlo simulations for logistics and manufacturing systems for example queueing networks mathematical optimization Material Science glass manufacturing polymers and crystals Nuclear Engineering nuclear reactor modeling radiation shielding simulations fusion simulations Petroleum engineering petroleum reservoir modeling oil and gas exploration Physics Computational particle physics automatic calculation of particle interaction or decay plasma modeling cosmological simulations TransportationSee also EditModeling and simulation Applied mathematics Computational science Computational mathematics Computational fluid dynamics Computational electromagnetics High performance computing Engineering mathematics Grand Challenges Numerical analysis MultiphysicsReferences Edit Computational Science and Engineering Program Graduate Student Handbook PDF cseprograms gatech edu September 2009 Archived from the original PDF on 2014 10 14 Retrieved 2012 04 08 Graduate and Undergraduate Programs in Computational Science SIAM Retrieved 2020 05 23 Why is fortran extensively used in scientific computing and not any other language ResearchGate Retrieved 2020 05 23 External links EditOden Institute for Computational Engineering and Sciences Scope of Computational engineering Society of Industrial and Applied Mathematics International Centre for Computational Engineering IC2E Georgia Institute of Technology USA MS PhD Programme Computational Science amp Engineering The graduate program for the University of Tennessee at Chattanooga Master and PhD Program in Computational Modeling at Rio de Janeiro State University Computational Science and Engineering with Scilab Internacional Center for Numerical Methods in Engineering CIMNE Retrieved from https en wikipedia org w index php title Computational engineering amp oldid 1088444175, wikipedia, wiki, book, books, library,
