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Computational Science: more books (102)

Computational Homology (Applied Mathematical Sciences) by Tomasz Kaczynski, Konstantin Mischaikow, et all 2010-11-02

Fundamentals of Fluid-Solid Interactions, Volume 8: Analytical and Computational Approaches (Monograph Series on Nonlinear Science and Complexity) by Xiaodong (Sheldon) Wang, 2008-08-27

Boundary Element Methods in Engineering and Sciences (Computational and Experimental Methods in Structures) by M. H. Aliabadi, 2010-10-30

Randomness and Completeness in Computational Complexity (Lecture Notes in Computer Science) by Dieter van Melkebeek, 2001-01-25

Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics (Lecture Notes in Computational Science and Engineering)

Scientific Data Management: Challenges, Technology, and Deployment (Chapman & Hall/CRC Computational Science)

Computational Methods in Transport: Verification and Validation (Lecture Notes in Computational Science and Engineering)

Computational Electromagnetics (Texts in Applied Mathematics) by Anders Bondeson, Thomas Rylander, et all 2010-11-02

Analytical, Numerical, and Computational Methods for Science and Engineering by Gene H. Hostetter, Mohammed S. Santina, et all 1991-01

Computational Modeling (Quantitative Applications in the Social Sciences)

Introduction to the Numerical Analysis of Incompressible Viscous Flows (Computational Science and Engineering Series) by William Layton, 2008-08-07

Decision Technologies for Computational Finance (Advances in Computational Management Science)

Fundamentals of Computational Fluid Dynamics (Scientific Computation) by H. Lomax, Thomas H. Pulliam, et all 2010-11-02

Computational Geometry: An Introduction (Monographs in Computer Science) by Franco P. Preparata, Michael Ian Shamos, 1985-08-23

lists with details

SUNY-Brockport Department Of Computational Science
http://www.cps.brockport.edu/
Computational Science Academic Programs At Syracuse University
Undergraduate Minor in computational science. Information Track ofcomputational science. Simulation Track of computational science.
http://www.npac.syr.edu/projects/cpsedu/curriculum/

Extractions: Master's Degrees and Certificates Ph.D. Certificates in Computational Science Undergraduate Minor in Computational Science Computational Science can be defined broadly as the discipline of the interface between computer science and applications of computers. As the information age intensifies the computational requirements of information applications, many interesting computational techniques are being developed in what is coming to be called the Global Information Infrastructure (GII), which will combine international networking with computing in the educational and commercial sectors. The requirements for computing and networking in these settings are immense. When we first started computational science courses, our emphasis was on the use of computational techniques in scientific and engineering areas. Since then, we have also developed curriculum in the use of computational techniques related to the new GII technology. We will distinguish these sets of courses by referring to the Simulation Track and the Information Track of Computational Science. The information track studies computational techniques such as in information retrieval, multimedia design, and broadcast news and journalism. Typical problem areas include network access to databases, algorithms for digitizing media, and the use of geographic information systems. Like the simulation track, the information track takes the computational science approach: to outline an application and its computational requirements, to study the computational methodology and relate computing results to the application.
Computational Science At Argonne
computational science at Argonne National Laboratory. The following is only asample of the ongoing computational science research at the Laboratory.
http://www.mcs.anl.gov/LANS/computational-science.html

Extractions: Computational Science at Argonne National Laboratory Computational science at Argonne has three interrelated aspects: developing innovative computer science tools, software, and algorithms; providing large-scale parallel computing resources; and supporting challenging applications in the physical and biological sciences. Leading these efforts is the Mathematics and Computer Science Division. We welcome both beginning and experienced researchers interested in taking advantage of our expertise in numerical algorithms, tools for parallelism, and other enabling technologies. What's New? Research in the Laboratory for Advanced Numerical Software covers the spectrum from numerical algorithm design, analysis, and implementation to the development of parallel programming tools designed to dramatically increase scientific productivity. PETSc - data structures and routines for solving PDEs
Welcome To MCS
Description of past and present research using supercomputers, abstracts of publications, and links Category Computers Computer Science Research Institutes by providing intellectual and technical leadership in the computing sciences computerscience, applied computational mathematics, and computational science.
http://www.mcs.anl.gov/

Extractions: Details Research in the MCS Division at Argonne National Laboratory is funded principally by the Mathematical, Information, and Computational Sciences Division Office of Advanced Scientific Computing Research Office of Science of the U.S. Department of Energy Our mission is to increase scientific productivity in the 21st century by providing intellectual and technical leadership in the computing sciences computer science, applied computational mathematics, and computational science. Open Positions MCS and the UofChicago/Argonne National Laboratory Computation Institute have a variety of positions open for predoctoral and postdoctoral researchers, scientific programmers, graduate students, and undergraduates. Students should also check our Student Opportunities Web site. What's New Argonne's numerical components research makes DOE's top 10 list for 2002. Research in parallel components for PDEs and optimization was recently named as one of DOE's top 10 scientific achievements for 2002. The work involves development of components that are compliant with standards of the DOE-wide Common Component Architecture, using common abstract mathematical interfaces for parallel linear algebra. The work is detailed in "Parallel Components for PDEs and Optimization: Some Issues and Experiences," by B. Norris et al., Parallel Computing 28(12) (2002) pp. 1811-1831.
CCS
more. New computational sciences Building The Oak Ridge National Laboratory hasbegun construction of a new 300,000sq-ft laboratory and office building. Category Regional North America Research Facilities
http://www.ccs.ornl.gov/

Extractions: Simulations of exploding stars on supercomputers will answer important questions about the creation and dissemination of elements that make life possible. more ORNL's new OC192 (10 Gbit/s) network connection through Chattanooga to the Atlanta GigaPOP (Southern Crossroads or SoX) connects to Internet2. more
Institute Of Computational Science
Translate this page Institute for computational science
http://www.icos.ethz.ch/
Software Tools For Computational Science
Software Tools for computational science. CS 422/522. Prof. Trefethen.Course Objective To expose students to some of the exciting
http://www.cs.cornell.edu/Info/Courses/Spring-97/CS522/home.html

Extractions: Course Objective: To expose students to some of the exciting and important software tools of computational science today. To do this with plenty of historical and scientific context, so that the ideas explored in the course are of lasting value even if some of the particular tools used are destined to be short-lived. Course Outline
Applied Mathematics And Computational Science (AMCS) HomePage
MSCSUIC Header Applied Mathematics and computational science (AMCS) HomePage. AppliedMathematics and computational science Math Areas AMCS Faculty Areas.
http://www.math.uic.edu/~hanson/AppliedMath.html
Center For Computational Science
Center for computational science and Technology. Argonne operates the Centerfor computational science and Technology (CCST), a supercomputing
http://www-fp.mcs.anl.gov/ccst/

Extractions: Argonne operates the Center for Computational Science and Technology (CCST), a supercomputing facility for high-end computational science and computer science research. The CCST systems include computing and visualization resources as well as storage resources. Primary CCST machines include: CCST Machines Computing Resources Visualization Resources Storage Resources Software Software that can be used, in general, with all CCST resources. For information on what software is available on a particular resource, see that machine's pages. Research Review summaries of current and past projects conducted with the facilities of the CCST, as well as guidelines for current research reports. All CCST users are now required to sumbit a summary annually Publications General Information Questions about the CCST in general can be sent to systems@mcs.anl.gov
Undergraduate Program In Computational Science
MCS Undergraduate Program in computational science. See pages 7991of the DEP catalogue for current MCS research opportunities.
http://www-fp.mcs.anl.gov/division/information/educational_programs/undergrad-co

Extractions: MCS Undergraduate Program in Computational Science See pages 79-91 of the DEP catalogue for current MCS research opportunities. The Program Undergraduate programs are conducted for students majoring in computer science or a related discipline. Programs are available for the summer as well as fall and spring semesters. Salary will be in the range of $13.00 to $16.00 per hour, depending on education level and experience. Housing accommodations and round-trip travel are included. Summer application deadline is February 7, 2003; summer program dates are May 27 to August 1, 2003. Note: Students who apply for summer program participation should also submit an application to the DOE Laboratory Internships Program (SULI) (see the Web site for the necessary form). Research Areas Internationally recognized for its innovative research in high-performance computing, MCS operates a Linux cluster for research in scalable software development and an IBM SP for production work. For further information about the MCS Division, see http://www.mcs.anl.gov
MSc In Computational Science
Welcome to the MSc in computational science. The MSc in ComputationalScience is a high quality Masters course aimed at graduates
http://www.cs.man.ac.uk/Study_subweb/Postgrad/cpn.asp
Computational Science Division
KIMURA Kaoru, KAWAI Kazuhiko, SAITO Ai, SUGA Tokiko, TAKAHEI Toshiyuki, TOKO Naoko,HAYASHI Daiki, FURUSAWA Hideaki, Contact CSD. computational science Division, RIKEN.
http://atlas.riken.go.jp/

Extractions: Research Latest papers Programs Movies ... Research Outline Research Topics Molecular Dynamics Machine (MDM) Molecular Dynamics Machine (MDM) is a special-purpose computer for large scale molecular dynamics (MD) simulations. It has a peak speed of 75 Tflops, which is 6 times faster than the world fastest supercomputer. We got the Gordon Bell prize in peak performance category in 2000 for the 1.34 Tflops MD simulation with MDM. In May 2001, we have reached 8.61Tflops, which we believe the fastest effective calculation performance in molecular dynamics simulation in the world now. Simulations with special-purpose computer, MDGRAPE-2 Molecular dynamics simulations Dr. KOISHI (Japanese fonts required ) Dr. KINJO
Internet Resources
INTERNET RESOURCES. computational science. An Internet introduction. Access http//www.cacr.caltech.edu/SDA/digital_sky.html.Who does computational science?
http://www.ala.org/acrl/resfeb02.html

Extractions: The subject of computational science is diffuse, and no single portal exists that brings together its many facets. Thus the goal of this guide is to offer a sampling of Web sites that introduce the subject or relate to the tools used in computational science, its diverse applications, and the variety of people and organizations involved in computational science instruction and research. Computational science, informatics, and library professionals Developments in computational science will place new demands on the information management skills of researchers and librarians alike and will continue to offer challenging opportunities for collaborations between scientists and information professionals. Starting points, tutorials, and online courses SIAM Working Group on CSE Education. This site begins with an excellent definition of computational science as a distinct discipline, describes the research areas in which computational science plays an important role, and discusses graduate curricula and programs in CSE (Computational Science and Engineering). Access: http://www.siam.org/cse/report.htm
Theory And Computational Science
Theory and computational science. TCS is now part of DCI (The Departmentfor Computation and Information). Victoria Marshall, 2 October 1997.
http://www.dl.ac.uk/TCSC/main.html
Computational Science Initiative
University of Houston. computational science Initiative. The ComputationalSciences Initiative at the University of Houston (CSIUH
http://www.math.uh.edu/csiuh.html

Extractions: University of Houston Computational Science Initiative The Computational Sciences Initiative at the University of Houston (CSIUH) is an interdisciplinary graduate certificate program aimed at promoting advanced research and education in the Computational Sciences, including numerical algorithms, high performance parallel computing, numerical modelling and simulation with applications in Sciences, Engineering and other disciplines in which computation plays an integral role. A Computational Sciences Certificate of Completion at the University of Houston is available to graduate degree candidates in one of the participating departments Biochemistry, Chemical Engineering, Computer Science, Electrical Engineering, Finance, Geosciences, Mathematics, and Physics and who have selected an independent research project (thesis or dissertation) in which there is a significant computational component. Course Requirements Requirements for award of the Masters Certificate of Completion include a total of 9 hours (with grades of B or higher) from the approved list of CSIUH electives (including at least 3 hours from outside their home department) and earns a Masters degree from UH. The Doctoral Certificate of Completion is awarded when a student completes 12 hours (with grades of B or higher) from the approved list of electives (including 6 hours from outside their home department) and earns a Doctoral degree from UH. Students must meet all requirements of their home department. At least one member from the Associated Faculty Committee must be on a student's research committee.
Computational Science At Clark
The Concentration in computational science. The enormous progress ComputationalScience Faculty Rafael Bruschweiler, biomolecular
http://science.clarku.edu/compu_sci.html

Extractions: The enormous progress in computational technology has generated a new methodology for learning and advancing the traditional sciences such as physics, chemistry, and biology. Computational science combines the application of numerical methods, models, and algorithms in the context of solving problems that are intractable by traditional methods. It is distinct from computer science, which is the study of computers and computation, and it is different from theory and experiment, the traditional forms of science, in that it seeks to gain understanding principally through the analysis of mathematical models. The goal of the interdisciplinary computational science concentration is to provide an opportunity for students to learn about the interplay between science and computation. The concentration is especially suitable for undergraduate students majoring in the sciences, mathematics, or computer science. Students completing this concentration may enter graduate programs in either their majors or in newly created interdisciplinary graduate programs in computational science, and be well prepared to go into industry. Computational Science Faculty Rafael Bruschweiler , biomolecular dynamics Arthur Chou , algorithms, complexity Harvey Gould , computer simulation Fred Green , theory of computation, structural complexity Li Han , robotics David Hibbett , evolutionary biology Shuanghong Huo , computer simulation of molecular interactions
CS&E AT PURDUE: Start Page
CS E computational science Engineering An Interdisciplinary GraduateSpecialization Program PURDUE UNIVERSITY West Lafayette, Indiana.
http://www.cse.purdue.edu/
Computational Science: Atomic Structure Calculations
computational science Atomic Structure Calculations. The wave equationdescribing the structure of an atom is a partial differential
http://www.vuse.vanderbilt.edu/~cff/mchf.html

Extractions: The wave equation describing the structure of an atom is a partial differential equation of eigenvalue type. High performance architectures and efficient algorithms are needed to solve systems with three or more electrons. The atomic structure project is concerned with the development of software for the accurate determination of wave functions from which a number of atomic properties can be predicted. Of particular importance are properties associated with energy transfer mechanisms such as transition probabilities. Over the years, an atomic structure package has been developed. Currently a parallel version has been implemented on a network of IBM Risc 6000/370 workstations using a a sparse matrix eigenvalue solver. Much of this work was supported since 1978 by the Division of Chemical Sciences, Office of Basic Energy Science, Office of Energy Research, U.S. Department of Energy. An NSF grant No. ASC-9005687 for ``Parallel Algorithms for the Many-Body Problem'' supported the work on parallel algorithms. Fischer, Charlotte F.
Browser Verification
News, publications, research areas, projects and highlights, contractors, and contact information.Category Computers Computer Science Research InstitutesIf you get this page in error, you can bypass the browser verificationand go directly to the computational sciences homepage here.
http://ic.arc.nasa.gov/
Computational Science And Mathematics
Applied research in high performance computing, applied mathematics, and intelligent systems. Research Category Computers Computer Science Research Institutes The Computer Science and Mathematics Division (CSM) is ORNL's premier source andapplied research programs are focused on computational sciences, intelligent
http://www.csm.ornl.gov/

Extractions: CSM Home March 18, 2003 About Us Org Chart Contacts Employment Staff Only Research Resources Projects Publications Software Groups Climate Dynamics Complex Systems Computational Biology Computational Materials ... Systems and Operations Links ORNL Home CCS Home Contact CSM Collaborate ... Comments The Computer Science and Mathematics Division (CSM) is ORNL's premier source of basic and applied research in high-performance computing, applied mathematics, and intelligent systems. Basic and applied research programs are focused on computational sciences, intelligent systems, and information technologies. Our mission includes working on important national priorities with advanced computing systems, working cooperatively with U.S. Industry to enable efficient, cost-competitive design, and working with universities to enhance science education and scientific awareness. Our researchers are finding new ways to solve problems beyond the reach of most computers and are putting powerful software tools into the hands of students, teachers, government researchers, and industrial scientists. Robert Harrison has been named recipient of the Sidney Fernbach Award from the Institute of Electrical and Electronics Engineers. The award recognizes outstanding contributions in the application of high-performance computers using innovative approaches. The award is in recognition of Harrison's lead role in the development of the NWChem computational chemistry package. NWChem is the first large-scale effort to produce a computational chemistry code that was designed from its inception to be used on massively parallel computers to solve "grand challenge" problems.

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