Samuel D. Conte: Introduction; F. Haas. Computer Science: Past and Future: Worldnet; P.J. Denning. The Origins of Computing and Computer Science at Purdue University; S. Rosen, J.R. Rice. History of the Computer Sciences Department at Purdue University; J.R. Rice, S. Rosen. An Overview of the Carnegie Mellon University Master of Software Engineering Program; N.E. Gibbs. Lessons Learned in Building a Successful Undergraduate Information Systems Academic Program; T.I.M. Ho. Research Contributions: Polynomial Interpolation in Several Variables; C. de Boor. An Exterior Point Algorithm for Linear Programming Implemented on the SX2 Supercomputer; L.D. Pyle, S.H. Kim. Parallel Multilevel Methods; D.M. Young, Jr., B. Vona. Using Algebraic Geometry for Multivariate Hermite Interpolation; C.L. Bajaj. Toward Formalizing Control Systems Simulation Software; J.E. Hollingsworth. On the Sensitivity of Differential Equations; R.V.M. Zahar. 3 additional articles. Index.

Enabling Technologies for Computational Science assesses future application computing needs, identifies research directions in problem-solving environments (PSEs), addresses multi-disciplinary environments operating on the Web, proposes methodologies and software architectures for building adaptive and human-centered PSEs, and describes the role of symbolic computing in scientific and engineering PSEs. The book also includes an extensive bibliography of over 400 references. Enabling Technologies for Computational Science illustrates the extremely broad and interdisciplinary nature of the creation and application of PSEs. Authors represent academia, government laboratories and industry, and come from eight distinct disciplines (chemical engineering, computer science, ecology, electrical engineering, mathematics, mechanical engineering, psychology and wood sciences). This breadth and diversity extends into the computer science aspects of PSEs. These papers deal with topics such as artificial intelligence, computer-human interaction, control, data mining, graphics, language design and implementation, networking, numerical analysis, performance evaluation, and symbolic computing. Enabling Technologies for Computational Science provides an assessment of the state of the art and a road map to the future in the area of problem-solving environments for scientific computing. This book is suitable as a reference for scientists from a variety of disciplines interested in using PSEs for their research.

This book is the proceedings ofa conference held November 1-3, 1989, to honor Samuel D. Conte for his many contributions to computer sci ences at Purdue University and to the profession as a whole. The com puter sciences program reflected the breadth of Conte's interests and ac complishments; there were tributes to Conte, perspectives on computer science itself, and research papers. The first part of these proceedings chronicles the career and contri butions; much of it is based on Conte's remarks made at the conference banquet. The second part of the proceedings starts with one vision of the future of computer sciences given in Peter Denning's keynote address. Historical accounts of building successful educational programs in com puter sciences follow. The third part consists of seven research contribu tions, primarily from past or present colleagues. These include Conte's numerical analysis, computational geometry, and discussions of software engineering. The conference was organized by the Purdue University Department of Computer Sciences and the Software Engineering Research Center at Purdue. Both of these organizations were founded by Conte, so is fitting for them to recognize their founder's achievements in such a con crete way.

Enabling Technologies for Computational Science assesses future application computing needs, identifies research directions in problem-solving environments (PSEs), addresses multi-disciplinary environments operating on the Web, proposes methodologies and software architectures for building adaptive and human-centered PSEs, and describes the role of symbolic computing in scientific and engineering PSEs. The book also includes an extensive bibliography of over 400 references. Enabling Technologies for Computational Science illustrates the extremely broad and interdisciplinary nature of the creation and application of PSEs. Authors represent academia, government laboratories and industry, and come from eight distinct disciplines (chemical engineering, computer science, ecology, electrical engineering, mathematics, mechanical engineering, psychology and wood sciences). This breadth and diversity extends into the computer science aspects of PSEs. These papers deal with topics such as artificial intelligence, computer-human interaction, control, data mining, graphics, language design and implementation, networking, numerical analysis, performance evaluation, and symbolic computing. Enabling Technologies for Computational Science provides an assessment of the state of the art and a road map to the future in the area of problem-solving environments for scientific computing. This book is suitable as a reference for scientists from a variety of disciplines interested in using PSEs for their research.

ELLP ACK is a many faceted system for solving elliptic partial differential equations. It is a forerunner of the very high level, problem solving environments or expert systems that will become common in the next decade. While it is still far removed from the goals of the future, it is also far advanced compared to the Fortran library approach in common current use. Many people will find ELLP ACK an easy way to solve simple or moderately complex elliptic problems. Others will be able to solve really hard problems by digging a little deeper into ELLP ACK. ELLP ACK is a research tool for the study of numerical methods for solving elliptic problems. Its original purpose was for the evaluation and comparison of numerical software for elliptic problems. Simple examples of this use are given in Chapters 9-11. The general conclusion is that there are many ways to solve most elliptic problems, there are large differences in their efficiency and the most common ways are often less efficient, sometimes dramatically so.

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This is a new release of the original 1949 edition.

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This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.

Kessinger Publishing is the place to find hundreds of thousands of rare and hard-to-find books with something of interest for everyone!

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Kessinger Publishing is the place to find hundreds of thousands of rare and hard-to-find books with something of interest for everyone!

Kessinger Publishing is the place to find hundreds of thousands of rare and hard-to-find books with something of interest for everyone!

Kessinger Publishing is the place to find hundreds of thousands of rare and hard-to-find books with something of interest for everyone!