Product Description
If you’re looking for a tutorial or stand-alone reference to AutoCAD and its latest features, Mastering AutoCAD 2009 and AutoCAD LT 2009 is a book that can serve as both. Understand the basics of interface and drafting tools, review intermediate skills like using hatches, fields and tables, and master advanced topics like attributes, dynamic blocks, drawing curves and solid fills, 3D modeling and imaging, and customization and integration. Learn everything you need to know about AutoCAD from concise explanations, focused examples, step-by-step instructions and hand-on projects.
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Saturday, August 1, 2009
Mastering AutoCAD 2009 and AutoCAD LT 2009
Tuesday, July 28, 2009
Cryptographic Boolean Functions and Applications

Cryptographic Boolean Functions and Applications
Product Description
Boolean functions are the building blocks of symmetric cryptographic systems. Symmetrical cryptographic algorithms are fundamental tools in the design of all types of digital security systems (i.e. communications, financial and e-commerce).
Cryptographic Boolean Functions and Applications is a concise reference that shows how Boolean functions are used in cryptography. Currently, practitioners who need to apply Boolean functions in the design of cryptographic algorithms and protocols need to patch together needed information from a variety of resources (books, journal articles and other sources). This book compiles the key essential information in one easy to use, step-by-step reference.
Beginning with the basics of the necessary theory the book goes on to examine more technical topics, some of which are at the frontier of current research.
-Serves as a complete resource for the successful design or implementation of cryptographic algorithms or protocols using Boolean functions
-Provides engineers and scientists with a needed reference for the use of Boolean functions in cryptography
-Addresses the issues of cryptographic Boolean functions theory and applications in one concentrated resource.
-Organized logically to help the reader easily understand the topic
Monday, July 20, 2009
Contemporary Cryptology (Advanced Courses in Mathematics CRM Barcelona S.)
Contemporary Cryptology (Advanced Courses in Mathematics CRM Barcelona S.)
376437294X | Birkhauser Verlag AG | 2005 | 2 MB | RS | FF
Description / general overview :
The aim of this text is to treat selected topics of the subject of contemporary cryptology, structured in five quite independent but related themes: efficient distributed computation modulo a shared secret - multiparty computation - foundations of modern cryptography - provable security for public key schemes - efficient and secure public-key cryptosystems.
Contents :
Efficient Distributed Computation Modulo a Shared Secret (D Catalano)
* Multiparty Computation, an Introduction (R Cramer and I Damgard)
* Foundations of Modern Cryptography (G Di Crescenzo)
* Provable Security for Public Key Schemes (D Pointcheval)
* Efficient and Secure Public-Key Cryptosystems (T Takagi).
Addtional Info :
Treats selected topics of the subject of contemporary cryptology, structured in five quite independent but related themes: efficient distributed computation modulo a shared secret, multiparty computation, foundations of modern cryptography, provable security for public key schemes, and efficient and secure public-key cryptosystems.
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Sunday, July 19, 2009
Algorithmic Number Theory: 6th International Symposium ANTS-VI, Burlington, VT, USA, June 13-18, 2004, Proceedings
Algorithmic Number Theory: 6th International Symposium ANTS-VI, Burlington, VT, USA, June 13-18, 2004, Proceedings (Lecture Notes in Computer Science): Duncan Buell
Springer | ISBN: 3540221565 | 2004-07-27 | PDF (OCR) | 451 pages | 20.26 Mb
This book constitutes the refereed proceedings of the 6th International Algorithmic Number Theory Symposium, ANTS 2004, held in Burlington, VT, USA, in June 2004. The 30 revised full papers presented together with 3 invited papers were carefully reviewed and selected for inclusion in the book. Among the topics addressed are zeta functions, elliptic curves, hyperelliptic curves, GCD algorithms, number field computations, complexity, primality testing, Weil and Tate pairings, cryptographic algorithms, function field sieve, algebraic function field mapping, quartic fields, cubic number fields, lattices, discrete logarithms, and public key cryptosystems.
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Saturday, July 18, 2009
Optimization Methods for Applications in Statistics (Statistics and Computing): James E. Gentle
Optimization Methods for Applications in Statistics (Statistics and Computing): James E. Gentle
Springer-Verlag New York Inc. | ISBN: 0387403167 | 2006-01 | PDF (OCR) | 400 pages | 3.95 Mb
Table of Contents
Statistical Methods as Optimization Problems * Numerical Computations * Basic Definitions and Properties of Functions * Solution of Nonlinear Systems of Equations * Unconstrained Descent Methods in Dense Domains * Unconstrained Combinatorial Optimization; Other Direct Search Methods * Optimization Under Constraints * Optimization Under Constraints * Multiple Extrema and Multiple Objectives * Applications in Statistics * Software
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Monday, July 13, 2009
Codes, Ciphers and Secret Writing
Publisher: Dover Publications | Number Of Pages: 96 | Publication Date: 1984-10-01 | Sales Rank: 55496 | ISBN: 0486247619 | PDF | 2 Mb
Experiment with cryptography — the science of secret writing. Cipher and decipher codes: transposition and polyalphabetical ciphers, famous codes, typewriter and telephone codes, codes that use playing cards, knots, and swizzle sticks...even invisible writing and sending messages through outer space. Hours of intrigue and challenge. 45 diagrams.
Non-Mathematical Intro to Ciphers of Historical Interest
This is a good, well-written book requiring essentially no mathematical background. It's appropriate for teens and older folks interested ciphers. As another writer has pointed out, it's not current (this is a Dover reprint of a 1972 Simon & Schuster work), and the very few places where it says a code is still in use, it's likely not. I don't view this as a problem.
Ciphers are categorized and historical development is given. Invisible inks and the like are discussed, as are microdots, and SETI, though not by that name. Modern ciphers get no mention whatsoever--thus the non-mathematical nature. The approach doesn't consider computers to any real extent. Also, certain historical items that could have been covered, like the Enigma, aren't mentioned.
There are three weaknesses, IMHO, that keep it below 5 stars.
(1) Most of the ciphers presented have a set of possible setups, which can effectively be considered keys. E.g., the Caesar Cipher, using the Roman alphabet, has 25 different possible versions, which can be considered 25 different keys. Gardner makes no attempt to explain the relative complexities of breaking the various ciphers.
(2) The age.
(3) There is no index, but the table of contents is detailed.
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Tuesday, June 30, 2009
Math Wonders to Inspire Teachers and Students

Summary:
Are you "proud" to admit that you never liked math? Were never good in math? Are you struggling to pique your students' interest in math? Are you bored by the routine, mechanical aspects of teaching to the test in mathematics? This book offers a plethora of ideas to enrich your instruction and helps you to explore the intrinsic beauty of math. Through dozens of examples from arithmetic, algebra, geometry, and probability, Alfred S. Posamentier reveals the amazing symmetries, patterns, processes, paradoxes, and surprises that await students and teachers who look beyond the rote to discover wonders that have fascinated generations of great thinkers. Using the guided examples, help students explore the many marvels of math, including
* The Amazing Number 1,089. Follow the instructions to reverse three-digit numbers, subtract them, and continue until everyone winds up with . . . 1,089! * The Pigeonhole Principle. All students know that guesstimating works sometimes, but now they can use this strategy to solve problems. * The Beautiful Magic Square. Challenge students to create their own magic squares and then discover the properties of Dürer's Magic Square.
The author presents examples to entice students (and teachers) to study mathematics-to make mathematics a popular subject, not one to dread or avoid.
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Monday, June 29, 2009
Maple 12 Advanced Programming Guide

Category:
Maple Manuals
Authors:
Prof. Keith Geddes
George Labahn
Prof. Michael Monagan
K. M
Publisher: Maplesoft
Applications of Stochastic Programming (MPS-SIAM Series on Optimization)

Product Description
Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time, has been very active in recent years and deserves to be more widely known. This is the first book devoted to the full scale of applications of stochastic programming and also the first to provide access to publicly available algorithmic systems. The 32 contributed papers in this volume are written by leading stochastic programming specialists and reflect the high level of activity in recent years in research on algorithms and applications. The book introduces the power of stochastic programming to a wider audience and demonstrates the application areas where this approach is superior to other modeling approaches. Applications of Stochastic Programming consists of two parts. The first part presents papers describing publicly available stochastic programming systems that are currently operational. All the codes have been extensively tested and developed and will appeal to researchers and developers who want to make models without extensive programming and other implementation costs. The codes are a synopsis of the best systems available, with the requirement that they be user-friendly, ready to go, and publicly available. The second part of the book is a diverse collection of application papers in areas such as production, supply chain and scheduling, gaming, environmental and pollution control, financial modeling, telecommunications, and electricity. It contains the most complete collection of real applications using stochastic programming available in the literature. The papers show how leading researchers choose to treat randomness when making planning models, with an emphasis on modeling, data, and solution approaches. Contents Preface: Part I: Stochastic Programming Codes; Chapter 1: Stochastic Programming Computer Implementations, Horand I. Gassmann, SteinW.Wallace, and William T. Ziemba; Chapter 2: The SMPS Format for Stochastic Linear Programs, Horand I. Gassmann; Chapter 3: The IBM Stochastic Programming System, Alan J. King, Stephen E.Wright, Gyana R. Parija, and Robert Entriken; Chapter 4: SQG: Software for Solving Stochastic Programming Problems with Stochastic Quasi-Gradient Methods, Alexei A. Gaivoronski; Chapter 5: Computational Grids for Stochastic Programming, Jeff Linderoth and Stephen J.Wright; Chapter 6: Building and Solving Stochastic Linear Programming Models with SLP-IOR, Peter Kall and János Mayer; Chapter 7: Stochastic Programming from Modeling Languages, Emmanuel Fragnière and Jacek Gondzio; Chapter 8: A Stochastic Programming Integrated Environment (SPInE), P. Valente, G. Mitra, and C. A. Poojari; Chapter 9: Stochastic Modelling and Optimization Using Stochastics™ , M. A. H. ! Dempster, J. E. Scott, and G.W. P. Thompson; Chapter 10: An Integrated Modelling Environment for Stochastic Programming, Horand I. Gassmann and David M. Gay; Part II: Stochastic Programming Applications; Chapter 11: Introduction to Stochastic Programming Applications Horand I. Gassmann, Sandra L. Schwartz, SteinW.Wallace, and William T. Ziemba Chapter 12: Fleet Management, Warren B. Powell and Huseyin Topaloglu; Chapter 13: Modeling Production Planning and Scheduling under Uncertainty, A. Alonso-Ayuso, L. F. Escudero, and M. T. Ortuño; Chapter 14: A Supply Chain Optimization Model for the Norwegian Meat Cooperative, A. Tomasgard and E. Høeg; Chapter 15: Melt Control: Charge Optimization via Stochastic Programming, Jitka Dupaˇcová and Pavel Popela; Chapter 16: A Stochastic Programming Model for Network Resource Utilization in the Presence of Multiclass Demand Uncertainty, Julia L. Higle and Suvrajeet Sen; Chapter 17: Stochastic Optimization and Yacht Racing, A. B. Philpott; Chapter 18: Stochastic Approximation, Momentum, and Nash Play, H. Berglann and S. D. Flåm; Chapter 19: Stochastic Optimization for Lake Eutrophication Management, Alan J. King, László Somlyódy, and Roger J
Book Description
This is the first book devoted to the full scale of applications of stochastic programming and also the first to provide access to publicly available algorithmic systems. The 32 contributed papers are written by leading stochastic programming specialists and reflect recent advanced research on algorithms and applications.
See all Editorial Reviews
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Saturday, June 27, 2009
Nonsmooth Variational Problems and Their Inequalities: Comparison Principles and Applications

Publisher: Springer
Language: English
ISBN: 0387306536
Paperback: 398 pages
Data: Nov 2006
Format: PDF
Description: The main purpose of this book is to provide a systematic and unified exposition of comparison principles based on a suitably extended sub-supersolution method. This method is an effective and flexible technique to obtain existence and comparison results of solutions. Also, it can be employed for the investigation of various qualitative properties, such as location, multiplicity and extremality of solutions. In the treatment of the problems under consideration a wide range of methods and techniques from nonlinear and nonsmooth analysis is applied, a brief outline of which has been provided in a preliminary chapter in order to make the book self-contained.
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Thursday, June 25, 2009
Mathematics for Computer Graphics

Springer | 2005 | ISBN: 1846280346 | 247 pages | PDF | 1,2 MB
Baffled by maths? Then don't give up hope. John Vince will show you how to understand many of the mathematical ideas used in computer animation, virtual reality, CAD, and other areas of computer graphics. In thirteen chapters you will rediscover - and hopefully discover for the first time a new way of understanding - the mathematical techniques required to solve problems and design computer programs for computer graphic applications. Each chapter explores a specific mathematical topic and takes you forward into more advanced areas until you are able to understand 3D curves and surface patches, and solve problems using vectors. After reading the book, you should be able to refer to more challenging books with confidence and develop a greater insight into the design of computer graphics software. Get to grips with mathematics fast - Numbers, Algebra, Trigonometry, Coordinate geometry, Transforms, Vectors, Curves and surfaces, Barycentric coordinates, Analytic geometry. The book you will read once, and refer to over and over again!
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Wednesday, June 24, 2009
Tuesday, June 23, 2009
Sunday, June 21, 2009
A First Course in Fourier Analysis

Product Description
This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.
Product Details
* Hardcover: 864 pages
* Publisher: Cambridge University Press; 2 edition (January 28, 2008)
* Language: English
* ISBN-10: 0521883407
* ISBN-13: 978-0521883405
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Saturday, June 20, 2009
Calculus: Early Transcendentals 6th Edition / Stewart Series
Dr. Math Presents More Geometry: Learning Geometry is Easy!
Dr. Math Presents More Geometry: Learning Geometry is Easy! Just Ask Dr. Math

By Jossey-Bass | 112 pages | PDF | 2.1 Mb
You, too, can understand geometry—— just ask Dr. Math ® !
Are things starting to get tougher in geometry class? Don't panic. Dr. Math—the popular online math resource—is here to help you figure out even the trickiest of your geometry problems.
Students just like you have been turning to Dr. Math for years asking questions about math problems, and the math doctors at The Math Forum have helped them find the answers with lots of clear explanations and helpful hints. Now, with Dr. Math Presents More Geometry, you'll learn just what it takes to succeed in this subject. You'll find the answers to dozens of real questions from students in a typical geometry class. You'll also find plenty of hints and shortcuts for using coordinate geometry, finding angle relationships, and working with circles. Pretty soon, everything from the Pythagorean theorem to logic and proofs will make more sense. Plus, you'll get plenty of tips for working with all kinds of real-life problems.
You won't find a better explanation of high school geometry anywhere!
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Computational Finance Using C and C#

Computational Finance Using C and C#
“Think of Baxter and Rennie, add the pricing models from Wilmott and, to illustrate each model, Levy’s own Numerical Recipes in C and C#. Levy’s book is written in precise mathematical language, covering all types of derivative products and illustrating the state-of-the-art resolution methods for pricing. As such, it is set to become a classic amongst serious quants.” – Professor Carol Alexander, Chair of Risk Management and Director of Research, ICMA Centre, Business School, The University of Reading, UK
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Tuesday, June 16, 2009
Computer Algebra Recipes: An Introductory Guide to the Mathematical Models of Science

Computer Algebra Recipes: An Introductory Guide to the Mathematical Models of Science
Product Description
Computer algebra systems are revolutionizing the teaching, the learning, and the exploration of science. Not only can students and researchers work through mathematical models more efficiently and with fewer errors than with pencil and paper, they can also easily explore, both analytically and numerically, more complex and computationally intensive models.
Aimed at science and engineering undergraduates at the sophomore/junior level, this introductory guide to the mathematical models of science is filled with examples from a wide variety of disciplines, including biology, economics, medicine, engineering, game theory, mathematics, physics, and chemistry. The topics are organized into the Appetizers dealing with graphical aspects, the Entrees concentrating on symbolic computation, and the Desserts illustrating numerical simulation.
The heart of the text is a large number of computer algebra recipes based on the Maple 10 software system. These have been designed not only to provide tools for problem solving, but also to stimulate the reader’s imagination. Associated with each recipe is a scientific model or method and an interesting or amusing story (accompanied with a thought-provoking quote) that leads the reader through the various steps of the recipe. The recipes are also included on the CD-ROM enclosed with the book. Each section of recipes is followed by a set of problems that readers can use to check their understanding or to develop the topic further.
This text is the first of two volumes, the advanced guide, aimed at junior/senior/graduate level students, dealing with more advanced differential equation models.
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Monday, June 15, 2009
Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel

Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel
Product Description
This highly accessible and innovative text (and accompanying CD-ROM) uses Excel (R) workbooks powered by Visual Basic macros to teach the core concepts of econometrics without advanced mathematics. It enables students to run monte Carlo simulations in which they repeatedly sample from artificial data sets in order to understand the data generating process and sampling distribution. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software.
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