Design Paradigms

Case histories of engineering success and failure are presented to enrich understanding of the design process.

Designmuster sind die Bausteine für Design und können in natürlicher oder vom Menschen geschaffener Umgebung beobachtet werden. Diese Musterbeispiele stellen eine visuelle Datenbank verschiedener Lösungsmöglichkeiten für Designer aus verschiedenen Disziplinen dar. Die Beziehungen zwischen Form, Gestalt und Farbe und die Art und Weise, wie wir diese Beziehungen verstehen und wahrnehmen ist das Thema dieses Buches. Designer müssen in der Lage sein, diese Grundmuster zu verstehen, wenn sie eine effektive und kreative Designlösung finden wollen. Dieses Buch definiert diese allgemeinen "Regeln" der Wahrnehmung und unterstützt so den Designprozeß, indem es die Voraussetzungen für Kreativität, Visualisierung und Problemlösungen schafft. Dabei werden nicht nur Techniken zur Entwicklung von Kreativität im Designprozeß behandelt, sondern ebenso die Entwicklung des Designprozesses selbst, vom ersten Schritt bis zum fertigen Produkt, durch Analogieschlüsse zwischen Produkt und dem Musterbeispiel das dazu die Anregungen lieferte.

The intended readership includes both undergraduate and graduate students majoring in computer science as well as researchers in the computer science area. The book is suitable either as a textbook or as a supplementary book in algorithm courses. Over 400 computational problems are covered with various algorithms to tackle them. Rather than providing students simply with the best known algorithm for a problem, this book presents various algorithms for readers to master various algorithm design paradigms. Beginners in computer science can train their algorithm design skills via trivial algorithms on elementary problem examples. Graduate students can test their abilities to apply the algorithm design paradigms to devise an efficient algorithm for intermediate-level or challenging problems. Key Features: Dictionary of computational problems: A table of over 400 computational problems with more than 1500 algorithms is provided. Indices and Hyperlinks: Algorithms, computational problems, equations, figures, lemmas, properties, tables, and theorems are indexed with unique identification numbers and page numbers in the printed book and hyperlinked in the e-book version. Extensive Figures: Over 435 figures illustrate the algorithms and describe computational problems. Comprehensive exercises: More than 352 exercises help students to improve their algorithm design and analysis skills. The answers for most questions are available in the accompanying solution manual.

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

DIVMakes a compelling case for the importance of thoughtful research design and persuasive evidence in theory building /div

Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows

Nanostructured electrode materials have exhibited unrivaled electrochemical properties in creating elite supercapacitors. Morphology Design Paradigm for Supercapacitors presents the latest advances in the improvement of supercapacitors, a result of the incorporation of nanomaterials into the design – from zero-dimensional to three-dimensional, and microporous to mesoporous. The book includes a comprehensive description of capacitive practices at the levels of sub-atomic and nanoscales. These have the ability to enhance device performance for an extensive assortment of potential applications, including consumer electronics, wearable gadgets, hybrid electric vehicles, stationary and industrial frameworks. Key Features: Provides readers with a clear understanding of the implementation of these materials as electrodes in electrochemical supercapacitors. Covers recent material designs and an extensive scope of electrode materials such as 0D to 3D. Explores recent nanostructured-system material designs that have been created and tested in supercapacitor configurations. Considers microporous to mesoporous supercapacitor electrode materials. Features the impact of nanostructures on the properties of supercapacitors, including specific capacitance, cycle stability, and rate capability.