Part I introduces concepts of thermodynamics and statistical mechanics from a unified view. Parts II and III explore further applications of classical thermodynamics and statistical mechanics. Throughout, the emphasis is on real-world applications.

    With an accessible and lively writing style, it introduces modern techniques to what can often be a formal and intimidating subject. Readers are led from the physics of flat spacetime (special relativity), through the intricacies of differential geometry and Einstein's equations, and on to exciting applications such as black holes, gravitational radiation, and cosmology.

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.

    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.

    These sections together make an appropriate one-term advanced/graduate level course (mathematical prerequisites: vector analysis and simple partial-differential equations). The book is printed to make it easy for readers to identify these sections.• The remaining Track 2 material provides a wealth of advanced topics instructors can draw from to flesh out a two-term course, with Track 1 sections serving as prerequisites.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    The book teaches the basic tools for the design of digital circuits in a clear, easily accessible manner. New to This Edition: *Nine sections on Verilog Hardware Description Language (HDL) inserted in discrete sections, allowing the material to be covered or skipped as desired. The Verilog HDL presentation is at a suitable level for beginning students who are learning digital circuits for the first time. *Reorganized material on combinational circuits is now covered in a single chapter. *The emphasis in the sequential circuits chapters is now on design with D flip-flops instead of JK and SR flip-flops. *The material on memory and programmable logic is now consolidated in one chapter. *Chapter 8 consists mostly of new material and now covers digital design in the Register Transfer Level (P) FL), preparing the reader for more advanced design projects and further Verilog HDL studies. *A new section in Chapter 11 supplements the laboratory experiments with HDL experiments. These unable the reader to check the circuits designed in the laboratory by means of hardware components and/or by HDL simulation.* Text accompanied by Verilog simulator software-SynaptiCAD's VeriLogger Pro evaluation version, a Verilog simulation environment that combines all of the features of a traditional Verilog simulator with a powerful graphical test vector generator. Fast model testing in VeriLogger Pro allows the reader to perform bottom-up testing of every model in a design. All of the HDL examples in the book can be found on the CD-ROM. *A Companion Website includes resources for instructors and students such as transparency masters of all figures in the book, all HDL code examples from the book, a Verilog tutorial, tutorials on using the VeriLogger Pro software, and more. It can be found at http://www.prenhall.com/mano

    KEY TOPICS: This classic book enables readers to make connections between classical and modern physics - an indispensable part of a physicist's education. In this new edition, Beams Medal winner Charles Poole and John Safko have updated the book to include the latest topics, applications, and notation, to reflect today's physics curriculum. They introduce readers to the increasingly important role that nonlinearities play in contemporary applications of classical mechanics. New numerical exercises help readers to develop skills in how to use computer techniques to solve problems in physics. Mathematical techniques are presented in detail so that the book remains fully accessible to readers who have not had an intermediate course in classical mechanics. MARKET: For college instructors and students.

    

    Bridging the gap from geometry to the latest work in observational cosmology, the book illustrates the connection between geometry and the behavior of the physical universe and explains how radiation remaining from the big bang may reveal the actual shape of the universe.

    Readers are encouraged to do math rather than just study it. The author draws upon his experience as a coach for the International Mathematics Olympiad to give students an enhanced sense of mathematics and the ability to investigate and solve problems.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Services); UPSC (Civil Services); Section 'B' of AMIE (India) and Diploma Courses. Table Of Contents: Introduction ✦ Air Refrigeration Cycles ✦ Air RefrigerationSystems ✦ Simple Vapour Compression RefrigerationSystems ✦ Compound Vapour Compression RefrigerationSystems ✦ Multiple Evaporator and Compressor Systems✦ Vapour Absorption Refrigeration Systems ✦ Refrigerants✦ Refrigerant Compressors ✦ Condensers ✦ Evaporators✦ Expansion Devices ✦ Food Preservation ✦ Low TemperatureRefrigeration (Cryogenics) ✦ Steam Jet Refrigeration System✦ Psychrometry ✦ Comfort Conditions ✦ Air ConditioningSystems ✦ Cooling Load Estimation ✦ Ducts ✦ Fans✦ Applications of Refrigeration and Air Conditioning✦ Refrigeration Tables with Charts ✦ Index

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve