One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    Its unique 'Frontiers' chapters cover materials science, nanotechnology, catalysis, and biological inorganic chemistry, and have been fully updated to reflect advances in these key areas of contemporary research and industrial application.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Thoroughly updated to include Java 6, the Third Edition of Horstmann's bestselling text helps you absorb computing concepts and programming principles, develop strong problem-solving skills, and become a better programmer, all while exploring the elements of Java that are needed to write real-life programs. A top-notch introductory text for beginners, Big Java, Third Edition is also a thorough reference for students and professionals alike to Java technologies, Internet programming, database access, and many other areas of computer science.Features of the Third Edition: The 'Objects Gradual' approach leads you into object-oriented thinking step-by-step, from using classes, implementing simple methods, all the way to designing your own object-oriented programs. A strong emphasis on test-driven development encourages you to consider outcomes as you write programming code so you design better, more usable programs Helpful "Testing Track" introduces techniques and tools step by step, ensuring that you master one before moving on to the next New teaching and learning tools in WileyPLUS--including a unique assignment checker that enables you to test your programming problems online before you submit them for a grade Graphics topics are developed gradually throughout the text, conveniently highlighted in separate color-coded sections Updated coverage is fully compatible with Java 5 and includes a discussion of the latest Java 6 features

    Competition Book

    This second edition is appropriate as a supplementary (companion) text for any college-level course covering digital signal processing.

    It details programming with SRGP, a simple but powerful raster graphics package. Important algorithms in 2D and 3D graphics are detailed for easy implementation, and a thorough presentation of the mathematical principles of geometric transformations and viewing are included.

    Each chapter is bursting with creative and classic ideas to make the day as meaningful as it is beautiful: Stationery: Save-the-date cards do double duty when printed on coasters or delicate handkerchiefs.Ceremonies: An auspicious bird’s nest adds a beautiful and rustic touch for carrying rings at a farm wedding.Dressing Up: A retro bride goes glam with a feathered veil and pearl button–accented gloves. A casual groom and his mates add a personality pop with chocolate-brown Keds to match their wedding chinos.Cocktail Hour: For a low-key affair, mini grilled cheeses dipped in shot glasses of tomato soup satisfy.Centerpieces: Fruit slices suspended in crystal vases overflowing with Crayola-bright poppies and orchids offer a cheery setting.Cakes: White lace frosting details that match the bride’s dress and the couple’s monogram turn a pale green cake into a chic masterpiece.From classic white-on-white palettes to floral themes to fun fantasy ideas, the choices are limitless. Purple, pink, red, robin’s egg blue—find inspiration at every turn in all the colors a bride can dream of! And The Knot Ultimate Wedding Lookbook is loaded with money-saving ideas that don’t sacrifice style. Expert advice and rich images add up to a delicious visual feast and essential resource to help you create an event as special as you are as a couple.

    For the calculus-based General Physics course primarily taken by engineers and scientists.

    James' latest advancement in the world of statistical analysis is the next big stepping-stone in the "greatest players of all-time" debate. For as long as baseball has been played, fans have struggled to compare the legends of the game with today's stars. Win Shares by Decade is just one of the many sections you'll find inside to help you judge who ranks where among the pantheon of baseball greats.

    It can be used as a course book for students who are first encountering systems analysis and design at any level. This second edition contains many updates, including the latest version of the UML standard, and reflects the most up to date approaches to the information systems development process. It provides a clear and comprehensive treatment of UML 1.4 in the context of the systems development life cycle, without assuming previous knowledge of analysis and design. It also discusses implementation issues in detail and gives code fragments to show possible mappings to implementation technology. Extensive use of examples and exercises from two case studies provides the reader with many opportunities to practise the application of UML.

    It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.

    

    The language concepts are aptly explained in simple and easy-to-understand style, supported with examples, illustrations and programming and debugging exercises.

    The book features case discussions, USMLE-style questions, and a USMLE-style practice exam.