Programming HTML5 Applications

The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.—Byte, September 1995I can't begin to tell you ho

Provides a detailed introduction to writing 32-bit Windows applications using C++ and the Microsoft Foundation Class (MFC) library. The text describes the Windows architecture, shows how MFC works, co

Written for advanced undergraduate and beginning graduate students, Foundations for Programming Languages uses a series of typed lambda calculi to study the axiomatic, operational, and denotational se

This specially prepared work compromises a living archive of important programming languages, described by the people most instrumental in their creation and development. Drawn from the ACM/SIGPLAN Se

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the re

This collection of twenty-three original papers represents the first effort to bring together the work of constraint programming researchers scattered across multiple disciplines and across the world.

Brings together the most important contributions to the development of the theory of object-oriented programming to date, focusing in particular on how advances in type systems and semantic models can

There is increasing interest in genetic programming by both researchers and professional software developers. These twenty-two invited contributions show how a wide variety of problems across discipli

A mathematically oriented introduction to the theory of logic programming that presents a systematic exposition of the resolution methods for propositional, first-order, and Horn-clause logics, togeth

This collection of research provides a survey of developments at the leading edge of concurrent object-oriented programming. It documents progress - from general concepts to specific descriptions - in

The First Complete Guide to Testing Client/Server Applications Client/server applications are new and fundamentally different. Because of this, you need a different approach to testing client/server s

Programming by demonstration (PBD) is a remarkable method that allows end users to create, customize, and extend programs by demonstrating what the program should do. This volume, which grew out of a

Covers the theory, applications, theoretical possibilities and implementation issues that represent the material in Prolog.

Here is a practical and clearly written guide to the use of Neuro-Linguistic Programming in the treatment of alcoholism and other addictions. This comprehensive volume illustrates how the focus of Neu

Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the

Applications: Metals and Industrial Materials (K. Ohls and D. Sommer). Applications: Geological (J. Burman). Applications: Environmental (J. McLaren). Applications: Agriculture and Food (B. Sharp). Ap

Operational Modal Analysis: Developments and Applications provides a comprehensive overview of OMA and related technologies and practical usage.

Deep brain stimulation (DBS) is now a firmly established treatment for movement disorders, and an increasing body of evidence supports DBS in the treatment of other neurological and psychiatric disorders. This essential reference guide outlines a practical approach to the use of this paradigm-shifting therapy and covers key aspects of DBS practice. Chapters describe how to implement a DBS program and select appropriate patients, device programming to achieve optimal symptom control, and long-term management of patients. Thoroughly revised, this third edition includes additional chapters on managing patients with emerging applications of DBS. An entire chapter is dedicated to troubleshooting common problems with the therapy as many 'failures' are preventable and addressable. With contributions from experts in the field, this is a must-have reference guide for any clinician working with DBS patients.

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Up-to-date edition of Computational Geomechanics, broadening the focus of the first edition to include more applications This extended second edition of the highly successful book Computational Geomec

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Both experienced and new researchers will find useful information in chapters describing the properties, synthesis, and applications of phosphorus nanomaterials.

Do you already know Python and love using this programming language to create stunning projects? Are you looking to increase your programming skills and stay up to date with the latest languages and trends?Then you've probably been wanting to learn Raspberry Pi 4.Now you can!This comprehensive step-by-step guide will teach you everything you need to know about installing, programming, and learning Raspberry Pi 4.With detailed instructions, tips, tricks, and a full index for you to refer back to, every programmer who desires to learn Raspberry Pi 4 must have this book by their computers.With this book in your hands, you will: Learn step-by-step how to install Raspbian and set up Raspberry Pi 4 to create stunning programs and automationReplace your PC with Raspberry Pi 4 so your computer is completely customizable how you like itBecome a better programmer with Python and practice your coding skills with the steps contained in this bookCreate incredible projects and programs with Raspberr

Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners.

The study of complex variables is beautiful from a purely mathematical point of view, and very useful for solving a wide array of problems arising in applications. This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. Based on the authors' extensive teaching experience, it covers topics of keen interest to these students, including ordinary differential equations, as well as Fourier and Laplace transform methods for solving partial differential equations arising in physical applications. Many worked examples, applications, and exercises are included. With this foundation, students can progress beyond the standard course and explore a range of additional topics, including generalized Cauchy theorem, Painlevé equations, computational methods, and conformal mapping with circular arcs. Advanced topics are labeled with an asterisk and can be included in the syllabus

Connecting theory with real-life applications, this is the first ever textbook to equip students with a comprehensive knowledge of all the key concepts in bionanotechnology. By bridging the interdisciplinary gap from which bionanotechnology emerged, it provides a systematic introduction to the subject, accessible to students from a wide variety of backgrounds. Topics range from nanomaterial preparation, properties and biofunctionalisation, and analytical methods used in bionanotechnology, to bioinspired and DNA nanotechnology, and applications in biosensing, medicine and tissue engineering. Throughout the book, features such as 'Back to basics' and 'Research report' boxes enable students to build a strong theoretical knowledge and to link this to practical applications and up-to-date research. With over 200 detailed, full-colour illustrations and more than 100 end-of-chapter problems, this is an essential guide to bionanotechnology for any student studying this exciting, fast-developin

“Metal Oxide Nanocomposites: Synthesis and Applications” summarizes many of the recent research accomplishments in the area of metal oxide-based nanocomposites. This book focussing on the following t

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including es

Resistivity and induced polarization methods are used for a wide range of near-surface applications, including hydrogeology, civil engineering and archaeology, as well as emerging applications in the agricultural and plant sciences. This comprehensive reference text covers both theory and practice of resistivity and induced polarization methods, demonstrating how to measure, model and interpret data in both the laboratory and the field. Marking the 100 year anniversary of the seminal work of Conrad Schlumberger (1920), the book covers historical development of electrical geophysics, electrical properties of geological materials, instrumentation, acquisition and modelling, and includes case studies that capture applications to societally relevant problems. The book is also supported by a full suite of forward and inverse modelling tools, allowing the reader to apply the techniques to a wide range of applications using digital datasets provided online. This is a valuable reference for gr

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare.

The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level.A multi-agent system is an organized ensemble of autonomo

This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selec

Fascia, Function, and Medical Applications is essential reading for medical and allied health practitioners who want to bring scientific insights of the importance of fascia to human health into

Radar polarimetry has been used for the precise monitoring of the Earth surface. This book explains the basic polarimetry concept and its diverse applications. Fully color-coded images make it easy to

This book is about how to test Web based applications so that customers know that they are very safe to access them, and that their information and data will not fall into the hands of a malicious thi

Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to discover the Blockchain applications for cybersecurity and privacy. The purpose of th

The phenomenon of guttation finds applications in a wide range of areas, including plant biology, ecology, agriculture, horticulture, animal husbandry, pharmacology and medicine. This unique text provides a comprehensive review of this process. It explores the genetic, environmental, and edaphic factors that control and regulate guttation; and discusses in detail the impact of guttation on soil-plant-animal-environment systems, soil fertility and soil productivity, plant water balance, plant physiological research, ecosystem maintenance, and hydathode retrieval of water and solute. A separate chapter addresses practical applications, such as in the production of recombinant proteins for commercial use, seed protein, alkaloids, pharmaceutical drugs, resins, gums, and rubber. Besides specialists in plant sciences, the book will also appeal to anyone interested in the topic of plant-water relationships.

Because of its ability to sense the Earth's surface at night and during the day, under any weather condition, Synthetic Aperture Radar (SAR) has become a well-established and powerful remote sensing technology that is used worldwide for numerous applications. This book compiles 19 research works that investigate different aspects of SAR processing, SAR image analysis, and SAR applications. The contributions cover topics related to multi-angle/wide-angle SAR imaging; Doppler parameter estimation; data-driven focusing; Inverse SAR (ISAR) applied to pulsar signal modeling and detection; ground-based SAR; near-field interferometric ISAR; the interaction between SAR signals and the Infosphere; SAR interferometry for ground displacement monitoring, feature extraction, and change detection; and SAR-based sea applications. The selected studies represent real examples of the abundant research ongoing in the field of SAR processing and applications, and they further demonstrate that SAR imaging