Programming and Research

Programming and Research
Author: Rose Mary Botti-Salitsky
Publisher: Bloomsbury Publishing USA
Total Pages: 320
Release: 2017-03-09
Genre: Architecture
ISBN: 1628929553
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Programming and Research: Skills and Techniques for Interior Designers, Second Edition, provides a step-by-step approach to mastering the process of documenting client and user requirements for any design project. Replete with examples and analyses of student and professional work, this book guides its readers through the creation of their own program documents. Both the National Council for Interior Design Qualification (NCIDQ) and the Council for Interior Design Accreditation (CIDA) consider programming a required core of knowledge. Programming and Research focuses on how the study of programming for interior designers prepares students for and advances them into the professional realm. Features -More than 100 images, including student work, help illustrate and explain the programming process -Appendices include actual programming documents used by successful interior design firms, a residential questionnaire, and a list of helpful resources -Key terms are highlighted in the text and defined in a comprehensive glossary New to this Edition -Updated with new coverage on evidence-based design, integrated project delivery (IPD), building information modeling (BIM), design across disciplines, LEED programming, designing on a budget, and time management -New examples and case studies throughout cover new technological tools being employed in the industry to collect data -More intuitive integration of art and graphics to explanations in the text Teaching Resources -Instructor's Guide provides suggestions for planning the course and using the text in the classroom, supplemental assignments, lecture notes, and sample test questions -PowerPoint® presentations include images from the book and provide a framework for lecture and discussion

Julia Programming for Operations Research

Julia Programming for Operations Research
Author: Changhyun Kwon
Publisher: Changhyun Kwon
Total Pages: 262
Release: 2019-03-03
Genre: Technology & Engineering
ISBN: 1798205475
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Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself. He is a professor in the field of operations research, and his daily activities involve building models of mathematical optimization, developing algorithms for solving the problems, implementing those algorithms using computer programming languages, experimenting with data, etc. Three languages are involved: human language, mathematical language, and computer language. His team of students need to go over three different languages, which requires "translation" among the three languages. As this book was written to teach his research group how to translate, this book will also be useful for anyone who needs to learn how to translate in a similar situation. The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, Julia makes a perfect tool for students and professionals in operations research and related areas such as industrial engineering, management science, transportation engineering, economics, and regional science. For more information, visit: http://www.chkwon.net/julia

Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom

Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 969
Release: 2021-07-16
Genre: Education
ISBN: 1668424126
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The education system is constantly growing and developing as more ways to teach and learn are implemented into the classroom. Recently, there has been a growing interest in teaching computational thinking with schools all over the world introducing it to the curriculum due to its ability to allow students to become proficient at problem solving using logic, an essential life skill. In order to provide the best education possible, it is imperative that computational thinking strategies, along with programming skills and the use of robotics in the classroom, be implemented in order for students to achieve maximum thought processing skills and computer competencies. The Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom is an all-encompassing reference book that discusses how computational thinking, programming, and robotics can be used in education as well as the benefits and difficulties of implementing these elements into the classroom. The book includes strategies for preparing educators to teach computational thinking in the classroom as well as design techniques for incorporating these practices into various levels of school curriculum and within a variety of subjects. Covering topics ranging from decomposition to robot learning, this book is ideal for educators, computer scientists, administrators, academicians, students, and anyone interested in learning more about how computational thinking, programming, and robotics can change the current education system.

Research Topics in Functional Programming

Research Topics in Functional Programming
Author: D. A. Turner
Publisher: Addison Wesley Publishing Company
Total Pages: 408
Release: 1990
Genre: Computers
ISBN:
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Research Directions in Object-oriented Programming

Research Directions in Object-oriented Programming
Author: Bruce D. Shriver
Publisher:
Total Pages: 604
Release: 1987
Genre: Computers
ISBN:
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Once a radical notion, object-oriented programming is one of today's most active research areas. It is especially well suited to the design of very large software projects involving many programmers all working on the same project. The original contributions in this book will provide researchers and students in programming languages, databases, and programming semantics with the most complete survey of the field available. Broad in scope and deep in its examination of substantive issues, the book focuses on the major topics of object-oriented languages, models of computation, mathematical models, object-oriented databases, and object-oriented environments. The object-oriented languages include Beta, the Scandinavian successor to Simula (a chapter by Bent Kristensen, whose group has had the longest experience with object-oriented programming, reveals how that experience has shaped the group's vision today); CommonObjects, a Lisp-based language with abstraction; Actors, a low-level language for concurrent modularity; and Vulcan, a Prolog-based concurrent object-oriented language. New computational models of inheritance, composite objects, block-structure layered systems, and classification are covered, and theoretical papers on functional object-oriented languages and object-oriented specification are included in the section on mathematical models. The three chapters on object-oriented databases (including David Maier's "Development and Implementation of an Object-Oriented Database Management System," which spans the programming and database worlds by integrating procedural and representational capability and the requirements of multi-user persistent storage) and the two chapters on object-oriented environments provide a representative sample of good research in these two important areas. Bruce Shriver is a researcher at IBM's Thomas J. Watson Research Center. Peter Wegner is a professor in the Department of Computer Science at Brown University. Research Directions in Object-Oriented Programmingis included in the Computer Systems series, edited by Herb Schwetman.

Teaching and Learning Computer Programming

Teaching and Learning Computer Programming
Author: Richard E. Mayer
Publisher: Routledge
Total Pages: 369
Release: 2013-12-16
Genre: Education
ISBN: 1135433372
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The influx of computer technology into classrooms during the past decade raises the questions -- how can we teach children to use computers productively and what effect will learning to program computers have on them? During this same period, researchers have investigated novice learning of computer programming. Teaching and Learning Computer Programming unites papers and perspectives by respected researchers of teaching and learning computer science while it summarizes and integrates major theoretical and empirical contributions. It gives a current and concise account of how instructional techniques affect student learning and how learning of programming affects students' cognitive skills. This collection is an ideal supplementary text for students and a valuable reference for professionals and researchers of education, technology and psychology, computer science, communication, developmental psychology, and industrial organization.

Optimized Genetic Programming Applications: Emerging Research and Opportunities

Optimized Genetic Programming Applications: Emerging Research and Opportunities
Author: Hrnjica, Bahrudin
Publisher: IGI Global
Total Pages: 320
Release: 2018-07-06
Genre: Medical
ISBN: 1522560068
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Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Linear Programming: Foundations and Extensions

Linear Programming: Foundations and Extensions
Author: Robert J. Vanderbei
Publisher: Springer
Total Pages: 440
Release: 1998-03-31
Genre: Business & Economics
ISBN: 0792381416
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This book focuses largely on constrained optimization. It begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Along the way, dynamic programming and the linear complementarity problem are touched on as well. This book aims to be the first introduction to the topic. Specific examples and concrete algorithms precede more abstract topics. Nevertheless, topics covered are developed in some depth, a large number of numerical examples worked out in detail, and many recent results are included, most notably interior-point methods. The exercises at the end of each chapter both illustrate the theory, and, in some cases, extend it. Optimization is not merely an intellectual exercise: its purpose is to solve practical problems on a computer. Accordingly, the book comes with software that implements the major algorithms studied. At this point, software for the following four algorithms is available: The two-phase simplex method The primal-dual simplex method The path-following interior-point method The homogeneous self-dual methods.£/LIST£.

Advances in Sensitivity Analysis and Parametric Programming

Advances in Sensitivity Analysis and Parametric Programming
Author: Tomas Gal
Publisher: Springer Science & Business Media
Total Pages: 595
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461561035
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The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.

Research Directions in Parallel Functional Programming

Research Directions in Parallel Functional Programming
Author: Kevin Hammond
Publisher: Springer Science & Business Media
Total Pages: 507
Release: 2012-12-06
Genre: Computers
ISBN: 1447108418
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Programming is hard. Building a large program is like constructing a steam locomotive through a hole the size of a postage stamp. An artefact that is the fruit of hundreds of person-years is only ever seen by anyone through a lOO-line window. In some ways it is astonishing that such large systems work at all. But parallel programming is much, much harder. There are so many more things to go wrong. Debugging is a nightmare. A bug that shows up on one run may never happen when you are looking for it - but unfailingly returns as soon as your attention moves elsewhere. A large fraction of the program's code can be made up of marshalling and coordination algorithms. The core application can easily be obscured by a maze of plumbing. Functional programming is a radical, elegant, high-level attack on the programming problem. Radical, because it dramatically eschews side-effects; elegant, because of its close connection with mathematics; high-level, be cause you can say a lot in one line. But functional programming is definitely not (yet) mainstream. That's the trouble with radical approaches: it's hard for them to break through and become mainstream. But that doesn't make functional programming any less fun, and it has turned out to be a won derful laboratory for rich type systems, automatic garbage collection, object models, and other stuff that has made the jump into the mainstream.