Download or read book Programming Languages and Methodologies written by Robert J. Schalkoff and published by Jones & Bartlett Publishers. This book was released on 2007 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Languages And Methodologies Presents A Mature, Well-Rounded View Of The Entire Programming Process. Intended For The Junior/Senior-Level Student Who Has Completed Introductory Programming Courses, Schalkoff's Text Discusses The More Advanced Programming Topics, Including Differing Programming Methodologies (Imperative, Declarative, Functional, OO, Parallel, And Event-Driven), The Concepts Of Formal Grammars And Syntax, The Concepts And Implementation Of Scanning And Parsing, And The Concept Of Semantics. The Choice Of Topics Included Allows Instructors To Tailor Their Approach To Suit The Needs Of The Course And Provides A Wealth Of Hands-On Exercises And Experiences. With This Text Instructors Can Support Their Entire Course With Such Public Domain Platforms As Linux, Mac OS-X Or Windows OS At No Additional Cost To Students! Presenting Topics Related To The ACM/IEEE Model Curriculum, Programming Languages And Methodologies Is The Ideal Text For Your Computer Engineering And Computer Science Students!
Download or read book Generative Programming written by Krzysztof Czarnecki and published by . This book was released on 2000 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Programming Methodologies written by Gianna Cioni and published by Academic Press. This book was released on 2014-05-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Programming Methodologies consists of lecture demos and practical experiments from the Summer School on Advanced Programming Methodologies which took place in Rome, Italy, on September 17-24, 1987. The school focused on tools of advanced programming as well as theoretical foundations for software engineering. Problems connected with implementation and application of high-level programming languages are highlighted. Comprised of 11 chapters, this volume first looks at two software development projects at the Institute of Informatics of the University of Warsaw in Poland, with emphasis on the methodologies used in programming and implementation. The reader is then introduced to flexible specification environments; object-oriented programming; and Paragon's type hierarchies for data abstraction. Subsequent chapters focus on the inheritance rule in object-oriented programming; a functional programming approach to modularity in large software systems; database management systems; and relational algebra and fixpoint computation for logic programming implementation. The book also examines modules in high-level programming languages before concluding with a chapter devoted to storage management. This book is intended for computer programmers, undergraduate students taking various courses in programming, and advanced students of computer science.
Download or read book Programming Methodology written by C.E. Hackl and published by Springer Verlag. This book was released on 1975-03-11 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by numerous experts
Download or read book Goal Programming Techniques for Bank Asset Liability Management written by Kyriaki Kosmidou and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Other publications that exist on this topic, are mainly focused on the general aspects and methodologies of the field and do not refer extensively to bank ALM. On the other hand the existing books on goal programming techniques do not involve the ALM problem and more specifically the bank ALM one. Therefore, there is a lack in the existing literature of a comprehensive text book that combines both the concepts of bank ALM and goal programming techniques and illustrates the contribution of goal programming techniques to bank ALM. This is the major contributing feature of this book and its distinguishing characteristic as opposed to the existing literature. This volume would be suitable for academics and practitioners in operations research, management scientists, financial managers, bank managers, economists and risk analysts. The book can also be used as a textbook for graduate courses of asset liability management, financial risk management and banking risks.
Download or read book Programming Methodology written by David Gries and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is being published for two reasons. The first is to present a collection of previously published articles on the subject of programming methodology that have helped define the field and give it direction. It is hoped that the scientist in the field will find the volume useful as a reference, while the scientist in neighboring fields will find it useful in seriously acquainting himself with important ideas in programming methodology. The advanced student can also study it-either in a course or by himself -in order to learn significant material that may not appear in texts for some time. The second reason for this volume is to make public the nature and work on programming methodology of IFIP Working Group 2.3, hereafter called WG2.3. (IFIP stands for International Federation for Information Processing.) WG2.3 is one of many IFIP Working Groups that have been established to provide international forums for discussion of ideas in various areas. Generally, these groups publish proceedings of some of their meetings and occasionally they sponsor a larger conference that persons outside a group can attend. WG2.3 has been something of a maverick in this respect. From the beginning the group has shunned paperwork, reports, meetings, and the like. This has meant less pUblicity for IFIP and WG2.3, but on the other hand it has meant that meetings could be devoted almost wholly to scientific discussions.
Download or read book Game Programming Algorithms and Techniques written by Sanjay Madhav and published by Pearson Education. This book was released on 2014 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Game Programming Algorithms and Techniques is a detailed overview of many of the important algorithms and techniques used in video game programming today. Designed for programmers who are familiar with object-oriented programming and basic data structures, this book focuses on practical concepts that see actual use in the game industry. Sanjay Madhav takes a unique platform- and framework-agnostic approach that will help develop virtually any game, in any genre, with any language or framework. He presents the fundamental techniques for working with 2D and 3D graphics, physics, artificial intelligence, cameras, and much more. Each concept is illuminated with pseudocode that will be intuitive to any C#, Java, or C++ programmer, and has been refined and proven in Madhav's game programming courses at the University of Southern California. Review questions after each chapter help solidify the most important concepts before moving on. Madhav concludes with a detailed analysis of two complete games: a 2D iOS side-scroller (written in Objective-Cusing cocos2d) and a 3D PC/Mac/Linux tower defense game (written in C# using XNA/ MonoGame). These games illustrate many of the algorithms and techniques covered in the earlier chapters, and the full source code is available at gamealgorithms.net. Coverage includes Game time management, speed control, and ensuring consistency on diverse hardware Essential 2D graphics techniques for modern mobile gaming Vectors, matrices, and linear algebra for 3D games 3D graphics including coordinate spaces, lighting and shading, z-buffering, and quaternions Handling today's wide array of digital and analog inputs Sound systems including sound events, 3D audio, and digital signal processing Fundamentals of game physics, including collision detection and numeric integration Cameras: first-person, follow, spline, and more Artificial intelligence: pathfinding, state-based behaviors, and strategy/planning User interfaces including menu systems and heads-up displays Scripting and text-based data files: when, how, and where to use them Basics of networked games including protocols and network topology
Download or read book Goal Programming Methodology and Applications written by Marc Schniederjans and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goal Programming Applications in Accounting 74 Goal Programming Applications in Agriculture 76 Goal Programming Applications in Economics 78 Goal Programming Applications in Engineering 79 Goal Programming Applications in Finance 80 Goal Programming Applications in Government 83 Goal Programming Applications in an International Context 88 Goal Programming Applications in Management 90 Goal Programming Applications in Marketing 97 Summary 98 CHAPTER 5. FUTURE TRENDS IN GOAL PROORAMMING 101 GP is Positioned for Growth 101 Shifting the Life Cycle of GP Research to Growth 103 Summary 107 Reference 108 APPENDIX A TEXTBOOKS, READINGS BOOKS AND MONOORAPHS ON GOAL PROORAMMING 109 APPENDIX B. JOURNAL RESEARCH PUBLICATIONS ON GOAL PROORAMMING 113 INDEX 213 viii LIST OF FIGURES Figure 1-1. Summary Relationship of GP with MS/OR and MCDM Figure 1-2. Frequency Distribution for GP Journal Publications Figure 1-3. Life Cycle ofGP Research Figure 2-1. Set of GP Efficient Solutions Figure 5-1. Life Cycle of GP Research ix LIST OF TABLES Table 1-1. MS/OR Topics and Their Related GP Topics Table 1-2. MCDM Subareas and Their Related GP Topics Table 1-3. Frequency Listing ofGP Journal Publications and Book Titles Table 2-1. Solutions for a Dominated GP Problem Table 2-2. Conversion ofLP Constraints to Goal Constraints Table 2-3. GP Citations on Dominance, Inferiority and Inefficiency Table 2-4. GP Citations on Relative Weighting, Prioritization and Incommensurability Table 2-5. MS/OR Topics and Their Related GP Topics Table 3-1. Citations on WeightedlPreemptive GP Methodology Table 3-2. Citations on Pure/Mixed Integer GP Methodology Table 3-3.
Download or read book Reflections on the Teaching of Programming written by Jens Bennedsen and published by Springer Science & Business Media. This book was released on 2008-05-20 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey, reflecting on the teaching of programming, has been written by a group of primarily Scandinavian researchers and educators with special interest and experience in the subject of programming. The 14 chapters - contributed by 24 authors - present practical experience gathered in the process of teaching programming and associated with computing education research work. Special emphasis is placed on practical advice and concrete suggestions. The authors are all members of the Scandinavian Pedagogy of Programming Network (SPoP), and bring together a diverse body of experiences from the Nordic countries. The 14 chapters of the book have been carefully written and edited to present 4 coherent units on issues in introductory programming courses, object-oriented programming, teaching software engineering issues, and assessment. Each of these individual parts has its own detailed introduction. The topics addressed span a wide range of problems and solutions associated with the teaching of programming such as introductory programming courses, exposition of the programming process, apprentice-based learning, functional programming first, problem-based learning, the use of on-line tutorials, object-oriented programming and Java, the BlueJ environment to introduce programming, model-driven programming as opposed to the prevailing language-driven approach, teaching software engineering, testing, extreme programming, frameworks, feedback and assessment, active learning, technology-based individual feedback, and mini project programming exams.
Download or read book Computers at Risk written by National Research Council and published by National Academies Press. This book was released on 1990-02-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers at Risk presents a comprehensive agenda for developing nationwide policies and practices for computer security. Specific recommendations are provided for industry and for government agencies engaged in computer security activities. The volume also outlines problems and opportunities in computer security research, recommends ways to improve the research infrastructure, and suggests topics for investigators. The book explores the diversity of the field, the need to engineer countermeasures based on speculation of what experts think computer attackers may do next, why the technology community has failed to respond to the need for enhanced security systems, how innovators could be encouraged to bring more options to the marketplace, and balancing the importance of security against the right of privacy.
Download or read book Mastering Mathematica written by John W. Gray and published by Academic Press. This book was released on 1998 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of Mastering Mathematica focuses on using Mathematica as a programming language, because programming in Mathematica is the best way to use the software to its fullest capacity. The book covers functional programming, imperative programming, rewrite programming, and object-oriented programming. It also addresses the use of Mathematica as a symbolic manipulator and a general tool for knowledge representation. * Focus on four different types of programming styles with Mathematica: functional programming, rewrite (or rule-based) programmng, imperative (or procedural) programming, and object-oriented programming, with many examples of each style * Compatible with Mathematica 3.0 and its programming language * Chapters on graphics programming show how to make the most of the considerable graphics capabilities of Mathematica * Includes coverage of programming needed for creation of Mathematica packages that allow a user to extend the language as needed for particular uses * Applications include: * Polya pattern analysis * Critical points of functions * Object-oriented graph theory * Minimal surfaces * Mathematica-Enhanced CD-ROM Enclosed * Complete text in active Mathematica Notebook files, enhanced for v3.0; Allows you to evaluate complex examples without retyping; Extensive use of the v3.0 math typesetting system * Hyperlink index and table of contents * Instant access to any chapter or topic * Index is automatically merged with the main Mathematica help system forming a master index of all the user's Mathematica related information; Quickly see listings on a given topic from The Mathematica Book, Mastering Mathematica, the Guide to Standard Packages, or any other Help Browswer aware books you have installed
Download or read book Polyhedral and Semidefinite Programming Methods in Combinatorial Optimization written by Levent Tuncel and published by American Mathematical Soc.. This book was released on with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Programmable Logic Controllers written by Frederick D Hackworth, Jr and published by Independently Published. This book was released on 2022-09-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A text covering fundamental programmable logic controller (PLC) programming and interfacing methods. Included is a collection of sample ladder logic program segments to perform specific tasks in any PLC program such as flashers, non-standard clocks, timed counters and sequencers, flip flops (RS, D, T, JK), majority decision networks, and one-shots. Topics then move into interfacing methods, discrete sensors, linear transducers, encoders, motor controllers, PID, system safety, and pneumatics. The text can be used in any community college or university-level Engineering Technology PLC course and is also an excellent addition to an engineer's or technician's technical reference library. Readers should have a thorough understanding of fundamental dc and ac circuits, electronic devices (including thyristors), and a knowledge of college algebra and trigonometry.
Download or read book Python Programming and Numerical Methods written by Qingkai Kong and published by Academic Press. This book was released on 2020-11-27 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. - Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice - Summaries at the end of each chapter allow for quick access to important information - Includes code in Jupyter notebook format that can be directly run online
Download or read book Nonlinear Programming Techniques for Equilibria written by Giancarlo Bigi and published by Springer. This book was released on 2018-09-20 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a range of problems in operations research, which are formulated through various mathematical models such as complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the book subsumes all these models under a common structure that allows them to be formulated in a unique format: the Ky Fan inequality. It subsequently focuses on this unifying equilibrium format, providing a comprehensive overview of the main theoretical results and solution algorithms, together with a wealth of applications and numerical examples. Particular emphasis is placed on the role of nonlinear optimization techniques – e.g. convex optimization, nonsmooth calculus, proximal point and descent algorithms – as valuable tools for analyzing and solving Ky Fan inequalities.
Download or read book Research Methods Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-01-31 with total page 2107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.
Download or read book Bayesian Methods for Hackers written by Cameron Davidson-Pilon and published by Addison-Wesley Professional. This book was released on 2015-09-30 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.
