Genetic algorithms (GAs) are randomized search and optimization techniques
guided by the principles of evolution and natural genetics; they have a large
amount of implicit parallelism. GAs perform multimodal search in complex
landscapes and provide near-optimal solutions for objective or tness func
tion of an...
Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship Diagrams, Second Edition, database designers, developers, and students preparing...
Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step...
Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.
Pure JavaScript, Second Edition is a substantial and focused reference for experienced Web developers. This book begins with an accelerated introduction to the newest features of JavaScript so that experienced Web developers can quickly understand the concepts of JavaScript and begin developing their own JavaScript solutions...
From the reviews: ".. An excellent reference on undergraduate mathematical computing." (American Mathematical Monthly) "... manuals for such systems (Maple and MATLAB) tend to use trivial examples, making it difficult for new users of such systems to quickly apply their power to real problems. The authors have written a good book...
This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data....
The classic, best-selling Data Abstraction and Problem Solving with C++: Walls and Mirrors book provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. This new edition offers the latest C++ features and an introduction to using...
This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
Presents an introduction into using R for data mining applications, covering most popular data mining techniques
There are several books about hardware verification, so what makes
this handbook different? Put simply, this handbook is meant to be useful
in your day-to-day work. The authors are like you, cube dwellers, with
battle scars from developing chips. We must cope with impossible schedules,
a shortage of people to do...
Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics,...
Computers were initially developed to expedite numerical calculations. A newer, and in the long run, very
fruitful field is the manipulation of symbolic expressions. When these symbolic expressions represent mathematical
entities, this field is generally called computer algebra [8]. Computer algebra begins with relatively...
