computational physics provides a broader, more balanced, and more flexible education than a traditional physics major. Moreover, presenting physics within a scientific problem-solving paradigm is a more effective and ...
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computational physics provides a broader, more balanced, and more flexible education than a traditional physics major. Moreover, presenting physics within a scientific problem-solving paradigm is a more effective and efficient way to teach physics than the traditional approach.
Progress in developing, implementing, publishing, and refining a coherent set of education materials in computational physics education will be described. These materials form the binding for a four-year undergraduate...
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Progress in developing, implementing, publishing, and refining a coherent set of education materials in computational physics education will be described. These materials form the binding for a four-year undergraduate degree program leading to a Bachelor's degree in computational physics. Also described will be the status of the conversion of these materials into electronic formats that may be used for online education and as electronic textbooks. The online materials are to be part of a proposed national repository of university-offered, undergraduate courses and modules in computational science gathered from various pioneering programs throughout the country. (C) 2007 Elsevier B.V. All rights reserved.
The article looks at the scope and challenges in research and teaching in computational physics in Africa. It is seen that the implementation of computational physics programmes in the majority of the African countrie...
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The article looks at the scope and challenges in research and teaching in computational physics in Africa. It is seen that the implementation of computational physics programmes in the majority of the African countries is facing difficulties due to poor economies. This difficulty is further compounded due to fast advancements of hardware and software. As a possible solution, the establishment of a "resource centre" at an international organization along with regional centres, with international contributions is suggested. It is seen that computational physics programmes have a tremendous scope for development in Africa and contribute to the globalization of research and teaching. (C) 2002 Published by Elsevier Science B.V.
The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various algorithms. In this review, we discuss advances made in the field of computational physi...
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ISBN:
(纸本)9783642368035
The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various algorithms. In this review, we discuss advances made in the field of computational physics, focusing on classical molecular dynamics and quantum simulations for electronic structure calculations using the density functional theory, wave function techniques and quantum field theory.
The article looks at the scope and challenges in research and teaching in computational physics in Africa. It is seen that the implementation of computational physics programmes in the majority of the African countrie...
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The article looks at the scope and challenges in research and teaching in computational physics in Africa. It is seen that the implementation of computational physics programmes in the majority of the African countries is facing difficulties due to poor economies. This difficulty is further compounded due to fast advancements of hardware and software. As a possible solution, the establishment of a "resource centre" at an international organization along with regional centres, with international contributions is suggested. It is seen that computational physics programmes have a tremendous scope for development in Africa and contribute to the globalization of research and teaching. (C) 2002 Published by Elsevier Science B.V.
In Bradley University's physics department, the author has developed an incremental approach to computational physics instruction. It interweaves modem computational techniques with traditional aspects of upper-le...
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In Bradley University's physics department, the author has developed an incremental approach to computational physics instruction. It interweaves modem computational techniques with traditional aspects of upper-level classical mechanics and thermodynamics courses, building from simple to more complex concepts and assignments. By directly programming and controlling all aspects of their computer applications, students con best grasp computational principles.
While some physics educators have included computing in courses or have developed specialized courses for over 50 years, computational physics education has only slowly made inroads into the broader physics education ...
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While some physics educators have included computing in courses or have developed specialized courses for over 50 years, computational physics education has only slowly made inroads into the broader physics education community. Even now, when computation is arguably more important than ever in physics research and applications, it's rare that a physics department offers more than a single course in the topic to its undergraduate students. There have been several times over the years when interest in a more global approach to computational physics education has surged, only to subside without attaining the goal that computing finally take an essential role in the education of undergraduate physicists. The author reviews some of the history of computational physics education, briefly discusses his experience with the program at Illinois State University, and suggests some direction for the future.
作者：
Wang, JizengLiu, XiaojingZhou, YouheLanzhou Univ
Coll Civil Engn & Mech Key Lab Mech Environm & Disaster Western China Minist Educ China 222 Tian Shui Nan Rd Lanzhou 730000 Gansu Peoples R China
The quantitative study of many physical problems ultimately boils down to solving various partial differential equations (PDEs). Wavelet analysis, known as the "mathematical microscope", has been hailed for ...
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The quantitative study of many physical problems ultimately boils down to solving various partial differential equations (PDEs). Wavelet analysis, known as the "mathematical microscope", has been hailed for its excellent Multiresolution Analysis (MRA) capabilities and its basis functions that possess various desirable mathematical qualities such as orthogonality, compact support, low-pass filtering, and interpolation. These properties make wavelets a powerful tool for efficiently solving these PDEs. Over the past 30 years, numerical methods such as wavelet Galerkin methods, wavelet collocation methods, wavelet finite element methods, and wavelet integral collocation methods have been proposed and successfully applied in the quantitative analysis of various physical problems. This article will start from the fundamental theory of wavelet MRA and provide a brief summary of the advantages and limitations of various numerical methods based on wavelet bases. The objective of this article is to assist researchers in choosing the appropriate numerical methodologies for their particular physical issues. Furthermore, it will explore prospective advancements in wavelet-based techniques, offering valuable insights for researchers committed to enhancing wavelet numerical methods in the field of computational physics. This article will start from the fundamental theory of wavelet Multiresolution Analysis and provide a brief summary of the advantages and limitations of various numerical methods based on wavelet bases. The objective of this article is to assist researchers in choosing the appropriate numerical methodologies for their particular physical issues. Furthermore, it will explore prospective advancements in wavelet-based techniques, offering valuable insights for researchers committed to enhancing wavelet numerical methods in the field of computational ***
Momentum exists in the physics community for integrating computation into the undergraduate curriculum. One of many benefits would be preparation for computational research. Our investigation poses the question of whi...
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Momentum exists in the physics community for integrating computation into the undergraduate curriculum. One of many benefits would be preparation for computational research. Our investigation poses the question of which computational skills might be best learned in the curriculum (prior to research) versus during research. Based on a survey of computational physicists, we present evidence that many relevant skills are developed naturally in a research context while others stand out as best learned in advance.
Python is a relatively new computing language, created by Guido van Rossum [A.S. Tanenbaum, R. van Renesse, H. van Staveren, G.J. Sharp, S.J. Mullender, A.J. Jansen, G. van Rossum, Experiences with the Amoeba distribu...
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Python is a relatively new computing language, created by Guido van Rossum [A.S. Tanenbaum, R. van Renesse, H. van Staveren, G.J. Sharp, S.J. Mullender, A.J. Jansen, G. van Rossum, Experiences with the Amoeba distributed operating system, Communications of the ACM 33 (1990) 46-63;also on-line at http://***/pub/amoeba/. [6]], which is particularly suitable for teaching a course in computational physics. There are two questions to be considered: (i) For whom is the course intended? (ii) What are the criteria for a suitable language, and why choose Python? The criteria include the nature of the application. High performance computing requires a compiled language, e.g., FORTRAN. For some applications a computer algebra, e.g., Maple, is appropriate. For teaching, and for program development, an interpreted language has considerable advantages: Python appears particularly suitable. Python's attractions include (i) its system of modules which makes it easy to extend, (ii) its excellent graphics (VPython module), (iii) its excellent on line documentation, (iv) it is free and can be downloaded from the web. Python and VPython will be described briefly, and some programs demonstrated. (C) 2007 Elsevier B.V. All rights reserved.
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