An easy-to-use handbook for experienced programmers and scientists, this highly readable survey offers a concise but thorough description of the whole of Fortran 77, including practical advice on program portability, design, testing and documentation. The book benefits from the author's long association with the Fortran standardization committee (X3J3), and his extensive experience with large-scale processing in high-energy physics. Since Fortran 77 is the only practical choice for sizable scientific numerical and engineering applications, this will be an invaluable handbook for computer scientists working with engineers and physicists engaged in large-scale computation.

A clear and thorough description of the latest versions of Fortran by leading experts in the field. It is intended for new and existing users of the language, and for all those involved in scientific and numerical computing. It is suitable as a textbook for teaching and as a handy reference for practitioners.

Fortran Is The Pioneer Computer Language Originally Designed To Suit Numerical, Scientific And Engineering Computations. In Spite Of The Birth Of Several Computer Languages, Fortran Is Still Used As A Primary Tool For Programming Numerical Computations. In This Book All The Features Of Fortran 77 Have Been Elaborately Explained With The Support Of Examples And Illustrations. Programs Have Been Designed And Developed In A Systematic Way For All The Classical Problems. All The Topics Of Numerical Methods Have Been Presented In A Simple Style And Algorithms Developed. Complete Fortran 77 Programs And More Than One Sets Of Sample Data Have Been Given For Each Method. The Content Of The Book Have Been Carefully Tailored For A Course Material Of A One Semester Course For The Computer Science, Mathematics And Physics Students.

This is a revised and enlarged version of the author's book which received wide acclamations in its earlier three editions. It provides a lucid and in-depth introduction to the programming language Fortran 77 which is widely used by scientists and engineers.The fourth edition is completely revised chapterwise and also minor corrections incorporated. A new standard for Fortran called Fortran 90 was introduced in early 90s and compilers for this version of Fortran were sold in early 1995 by computer vendors. All Fortran 77 programs will run without change with Fortran 90 compilers; however some aspects of Fortran 77 have been declared obsolete and will not run on future Fortran compilers_these are explained in this revised edition. An appendix consolidates these features. Fortran 90 is introduced in a new chapter which summarises all its features.

This textbook provides an accessible introduction to the most important features of Fortran 2008. Features: presents a complete discussion of all the basic features needed to write complete Fortran programs; makes extensive use of examples and case studies to illustrate the practical use of features of Fortran 08, and supplies simple problems for the reader; provides a detailed exploration of control constructs, modules, procedures, arrays, character strings, data structures and derived types, pointer variables, and object-oriented programming; includes coverage of such major new features in Fortran 08 as coarrays, submodules, parameterized derived types, and derived-type input and output; highlights the topic of modules as the framework for organizing data and procedures for a Fortran program; investigates the excellent input/output facilities available in Fortran; contains appendices listing the many intrinsic procedures and providing a brief informal syntax specification for the language.

Software -- Programming Techniques.

From its earliest days, the Fortran programming language has been designed with computing efficiency in mind. The latest standard, Fortran 2008, incorporates a host of modern features, including object-orientation, array operations, user-defined types, and provisions for parallel computing. This tutorial guide shows Fortran programmers how to apply these features in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing to C, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their implementations and illustrates the use of several open source libraries. Full source code for the examples is available on the book's website.

An introduction to the venerable computer language, based on the interactive environment it is now used in--microcomputers, linked terminals of a mainframe--rather than on the off-line program preparation (punch cards) it was designed for. Sets out the desiderata of modular programming and structured program design, then shows how to accomplish them with Fortran 77. Updated to reflect the language's evolution since the 1984 first edition. Annotation copyrighted by Book News, Inc., Portland, OR

A practical guide to using modern software effectively in quantitative research in the social and natural sciences. This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; students entering PhD programs in business, economics, and other social or natural sciences; and those seeking quantitative jobs in industry. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, the book offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research. The best way to use the book is to read it at the computer keyboard and learn by doing. The book begins by introducing basic skills: how to use the operating system, how to organize data, and how to complete simple programming tasks. For its demonstrations, the book uses a UNIX-based operating system and a set of free software tools: the scripting language Python for programming tasks; the database management system SQLite; and the freely available R for statistical computing and graphics. The book goes on to describe particular tasks: analyzing data, implementing commonly used numerical and simulation methods, and creating extensions to Python to reduce cycle time. Finally, the book describes the use of LaTeX, a document markup language and preparation system.