Books about Introductions from Amazon.com

Inheriting the mantle of revolutionary biologist from Darwin, Watson, and Crick, Richard Dawkins forced an enormous change in the way we see ourselves and the world with the publication of The Selfish Gene. Suppose, instead of thinking about organisms using genes to reproduce themselves, as we had since Mendel's work was rediscovered, we turn it around and imagine that "our" genes build and maintain us in order to make more genes. That simple reversal seems to answer many puzzlers which had stumped scientists for years, and we haven't thought of evolution in the same way since.

Why are there miles and miles of "unused" DNA within each of our bodies? Why should a bee give up its own chance to reproduce to help raise her sisters and brothers? With a prophet's clarity, Dawkins told us the answers from the perspective of molecules competing for limited space and resources to produce more of their own kind. Drawing fascinating examples from every field of biology, he paved the way for a serious re-evaluation of evolution. He also introduced the concept of self-reproducing ideas, or memes, which (seemingly) use humans exclusively for their propagation. If we are puppets, he says, at least we can try to understand our strings. --Rob Lightner.
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This introductory textbook has several distinctive features: a strong emphasis on the scriptural basis for each doctrine; clear writing, with technical terms kept to a minimum; and a contemporary approach..
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An amazing (and some would say magical) resource on photographic lighting that has been talked about in the community and recommended for years. This highly respected guide has been thoroughly updated and revised for content and design - it is now produced in full color! It introduces a logical theory of photographic lighting so if you are starting out in photography you will learn how to predict results before setting up lights. This is not primarily a how-to book with only set examples for you to copy. Rather, Light: Science and Magic provides you with a comprehensive theory of the nature and principles of light to allow you to use lighting to express your own creativity.

Numerous photographs and illustrations provide clear examples of the theories, while sidebars highlight special lighting questions. Expanded chapters on available light in portraiture, as well as new information on digital equipment and terminology make this a must have update!

*New four color art package with contemporary lighting examples
*Based on the behaviour of light
*Theory book for serious photographers.
Price: $32.32 [Notify me when price goes down.]

This edition provides a prose rendering of The Epic of Gilgamesh, the cycle of poems preserved on clay tablets surviving from ancient Mesopotamia of the third mi llennium B.C. One of the best and most important pieces of epic poetry from human history, predating even Homer's Iliad by roughly 1,500 years, the Gilgamesh epic tells of the various adventures of that hero-king, including his quest for immortality, and an account of a great flood similar in many details to the Old Testament's story of Noah. The translator also provides an interesting and useful introduction explaining much about the historical context of the poem and the archeological discovery of th e tablets..
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Understanding Business by Nickels, McHugh, and McHugh has been the number one textbook in the introduction to business market for several editions for three reasons: (1) The commitment and dedication of an author team that teaches this course and believes in the importance and power of this learning experience, (2) we listen to our customers, and (3) the quality of our supplements package. We consistently look to the experts –full-time faculty members, adjunct instructors, and of course students– to drive the decisions we make about the text itself and the ancillary package. Through a series of focus groups, symposia, as well as full-book, single-chapter, revised manuscript reviews of both text and key ancillaries, we have heard the stories of more than 500 professors and their insights and experiences are evident on every page of the revision and in every supplement. As teachers of the course and users of their own materials, the author team is dedicated to the principles of excellence in business education. From providing the richest most current topical coverage to using dynamic pedagogy that puts students in touch with today’s real business issues, to creating groundbreaking and market-defining ancillary items for professors and students alike, Understanding Business leads the way..
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Suppose we took everything that all the various world cultures have to tell us about human potential—about psychological, spiritual, and social growth—and identified the basic patterns that connect these pieces of knowledge. What if we attempted to create an all-inclusive map that touches the most important factors from all of the world's great traditions?

Ken Wilber's Integral Vision provides such a map. Using all the known systems and models of human growth—from the ancient sages to the latest breakthroughs in cognitive science—it distills their major components into five simple elements, and, moreover, ones that readers can verify in their own experience right now.

In any field of interest, such as business, law, science, psychology, health, art, or everyday living and learning—the Integral Vision ensures that we are utilizing the full range of resources for the situation, leading to a greater likelihood of success and fulfillment. With easily understood explanations, exercises, and familiar examples, The Integral Vision shows how we can accelerate growth and development to higher, wider, deeper ways of being, embodied in self, shared in community, and connected to the planet, which can literally help with everything from spiritual enlightenment to business success to personal relationships.

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Aimed at any serious programmer or computer science student, the new second edition of Introduction to Algorithms builds on the tradition of the original with a truly magisterial guide to the world of algorithms. Clearly presented, mathematically rigorous, and yet approachable even for the math-averse, this title sets a high standard for a textbook and reference to the best algorithms for solving a wide range of computing problems.

With sample problems and mathematical proofs demonstrating the correctness of each algorithm, this book is ideal as a textbook for classroom study, but its reach doesn't end there. The authors do a fine job of explaining each algorithm. (Reference sections on basic mathematical notation will help readers bridge the gap, but it will help to have some math background to appreciate the full achievement of this handsome hardcover volume.) Every algorithm is presented in pseudo-code, which can be implemented in any computer language, including C/C++ and Java. This ecumenical approach is one of the book's strengths. When it comes to sorting and common data structures, from basic linked lists to trees (including binary trees, red-black, and B-trees), this title really shines, with clear diagrams that show algorithms in operation. Even if you just glance over the mathematical notation here, you can definitely benefit from this text in other ways.

The book moves forward with more advanced algorithms that implement strategies for solving more complicated problems (including dynamic programming techniques, greedy algorithms, and amortized analysis). Algorithms for graphing problems (used in such real-world business problems as optimizing flight schedules or flow through pipelines) come next. In each case, the authors provide the best from current research in each topic, along with sample solutions.

This text closes with a grab bag of useful algorithms including matrix operations and linear programming, evaluating polynomials, and the well-known Fast Fourier Transformation (FFT) (useful in signal processing and engineering). Final sections on "NP-complete" problems, like the well-known traveling salesman problem, show off that while not all problems have a demonstrably final and best answer, algorithms that generate acceptable approximate solutions can still be used to generate useful, real-world answers.

Throughout this text, the authors anchor their discussion of algorithms with current examples drawn from molecular biology (like the Human Genome Project), business, and engineering. Each section ends with short discussions of related historical material, often discussing original research in each area of algorithms. On the whole, they argue successfully that algorithms are a "technology" just like hardware and software that can be used to write better software that does more, with better performance. Along with classic books on algorithms (like Donald Knuth's three-volume set, The Art of Computer Programming), this title sets a new standard for compiling the best research in algorithms. For any experienced developer, regardless of their chosen language, this text deserves a close look for extending the range and performance of real-world software. --Richard Dragan

Topics covered: Overview of algorithms (including algorithms as a technology); designing and analyzing algorithms; asymptotic notation; recurrences and recursion; probabilistic analysis and randomized algorithms; heapsort algorithms; priority queues; quicksort algorithms; linear time sorting (including radix and bucket sort); medians and order statistics (including minimum and maximum); introduction to data structures (stacks, queues, linked lists, and rooted trees); hash tables (including hash functions); binary search trees; red-black trees; augmenting data structures for custom applications; dynamic programming explained (including assembly-line scheduling, matrix-chain multiplication, and optimal binary search trees); greedy algorithms (including Huffman codes and task-scheduling problems); amortized analysis (the accounting and potential methods); advanced data structures (including B-trees, binomial and Fibonacci heaps, representing disjoint sets in data structures); graph algorithms (representing graphs, minimum spanning trees, single-source shortest paths, all-pairs shortest paths, and maximum flow algorithms); sorting networks; matrix operations; linear programming (standard and slack forms); polynomials and the Fast Fourier Transformation (FFT); number theoretic algorithms (including greatest common divisor, modular arithmetic, the Chinese remainder theorem, RSA public-key encryption, primality testing, integer factorization); string matching; computational geometry (including finding the convex hull); NP-completeness (including sample real-world NP-complete problems and their insolvability); approximation algorithms for NP-complete problems (including the traveling salesman problem); reference sections for summations and other mathematical notation, sets, relations, functions, graphs and trees, as well as counting and probability backgrounder (plus geometric and binomial distributions)..
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