Lattice Basis Reduction: An Introduction to the LLL Algorithm and Its Applications

It very quickly became an essential tool in integer linear programming problems and was later adapted for use in cryptanalysis. This book provides an introduction to the theory and applications of lattice basis reduction and the LLL algorithm. With numerous examples and suggested exercises, the text discusses various applications of lattice basis reduction to cryptography, number theory, polynomial factorization, and matrix canonical forms.

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Lattice Basis Reduction

It very quickly became an essential tool in integer linear programming problems and was later adapted for use in cryptanalysis. This book provides an introduction to the theory and applications of lattice basis reduction and the LLL algorithm. With numerous examples and suggested exercises, the text discusses various applications of lattice basis reduction to cryptography, number theory, polynomial factorization, and matrix canonical forms.
Includes numerous algorithms in structured form (without goto statements) in both pseudocode and Maple
Presents the essential concepts that should be familiar to all users of lattice algorithms
Based on fundamental research papers on lattice basis reduction and its applications
Designed as a complete introduction for non-specialists: the only prerequisites are basic linear algebra and elementary number theory
Includes two applications to cryptography: knapsack cryptosystems, and Coppersmith’s algorithm
Includes two applications to computer algebra: polynomial factorization, and the Hermite normal form of an integer matrix
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Cryptanalysis of RSA and Its Variants

Divided into three parts, the book first introduces RSA and reviews the mathematical background needed for the majority of attacks described in the remainder of the text. It then brings together all of the most popular mathematical attacks on RSA and its variants. For each attack presented, the author includes a mathematical proof if possible or a mathematical justification for attacks that rely on assumptions. For the attacks that cannot be proven, he gives experimental evidence to illustrate their practical effectiveness. Focusing on mathematical attacks that exploit the structure of RSA and specific parameter choices, this book provides an up-to-date collection of the most well-known attacks, along with details of the attacks. It facilitates an understanding of the cryptanalysis of public-key cryptosystems, applications of lattice basis reduction, and the security of RSA and its variants.

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Algorithms in a Nutshell

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.
With this book, you will:
Solve a particular coding problem or improve on the performance of an existing solution
Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips
Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
Discover the impact that similar design decisions have on different algorithms
Learn advanced data structures to improve the efficiency of algorithms
With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.
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Functional Analysis: Introduction to Further Topics in Analysis (Princeton Lectures in Analysis) (Bk. 4)

The authors then use the Baire category theorem to illustrate several points, including the existence of Besicovitch sets. The second half of the book introduces readers to other central topics in analysis, such as probability theory and Brownian motion, which culminates in the solution of Dirichlet's problem. The concluding chapters explore several complex variables and oscillatory integrals in Fourier analysis, and illustrate applications to such diverse areas as nonlinear dispersion equations and the problem of counting lattice points.

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Algebraic Analysis of Solvable Lattice Models

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A Concise Introduction to Pure Mathematics

What's New in the Second Edition:
Contains extra material concerning prime numbers, forming the basis for data encryption
Explores "Secret Codes" - one of today's most spectacular applications of pure mathematics
Discusses Permutations and their importance in many topics in discrete mathematics
The textbook allows for the design of courses with various points of emphasis, because it can be divided into four fairly independent sections related to: an introduction to number systems and analysis; theory of the integers; an introduction to discrete mathematics; and functions, relations, and countability.
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The Algorithm Design Manual

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Search Algorithms and Applications

Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer.
The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.
Contents
Preface
Part 1 Population Based and Quantum Search Algorithms
1 Two Population-Based Heuristic Search Algorithms and Their Applications
2 Running Particle Swarm Optimization on Graphic Processing Units
3 Enhanced Genetic Algorithm for Protein Structure Prediction based on the HP Model
4 Quantum Search Algorithm
5 Search via Quantum Walk
Part 2 Search Algorithms for Image and Video Processing
6 Balancing the Spatial and Spectral Quality of Satellite Fused Images through a Search Algorithm
7 Graph Search and its Application in Building Extraction from High Resolution Remote Sensing Imagery
8 Applied Extended Associative Memories to High-Speed Search Algorithm for Image Quantization
9 Search Algorithms and Recognition of Small Details and Fine Structures of Images in Computer Vision Systems
10 Enhanced Efficient Diamond Search Algorithm for Fast Block Motion Estimation
11 A Novel Prediction-Based Asymmetric Fast Search Algorithm for Video Compression
12_Block Based Motion Vector Estimation Using FUHS16, UHDS16 and UHDS8 Algorithms for Video Sequence
Part 3 Search Algorithms for Engineering Applications
13 Multiple Access Network Optimization Aspects via Swarm Search Algorithms
14 An Efficient Harmony Search Optimization for Maintenance Planning to the Telecommunication Systems
15 Multi-Objective Optimization Methods Based on Artificial Neural Networks
16 A Fast Harmony Search Algorithm for Unimodal Optimization with Application to Power System Economic Dispatch
17 On the Recursive Minimal Residual Method with Application in Adaptive Filtering
18 A Search Algorithm for Intertransaction Association Rules
19 Finding Conceptual Document Clusters Based on Top-N Formal Concept Search: Pruning Mechanism and Empirical Effectiveness
20 Dissimilar Alternative Path Search Algorithm Using a Candidate Path Set
21 Pattern Search Algorithms for Surface Wave Analysis
22 Vertex Search Algorithm of Convex Polyhedron Representing Upper Limb Manipulation Ability
23 Modeling with Non-cooperative Agents: Destructive and Non-Destructive Search Algorithms for Randomly Located Objects
24 Extremal Distribution Sorting Algorithm for a CFD Optimization Problem
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Introduction to Data Compression

Each edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and the third edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The third edition includes all the cutting edge updates the reader will need during the work day and in class.
Khalid Sayood provides an extensive introduction to the theory underlying todays compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book.
* New content added on the topic of audio compression including a description of the mp3 algorithm
* New video coding standard and new facsimile standard explained
* Completely explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, Group 3 and 4 faxes, JBIG 2, ADPCM, LPC, CELP, and MELP
* Source code provided via companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications
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Introduction to Algorithms Ebooks Collection

Introduction to Algorithms Ebooks Collection | PDF & CHM | 238 MB
Addison.Wesley.Algorithms.In.Java.3rd.Ed.Part5.Graph.Algorithms.eBook-LiB.chm
az35_Algorithm Design For Networked Information Technology Systems (Springer-2004).pdf
DrDobbsJournal10ClassicalAlgorithm.chm
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H.S.Wilf - Algorithm And Complexity.pdf
J.Bucknall - The Tomes of Delphi Algorithms and Data Structures.pdf
Jones.And.Bartlett.Publishers.Foundations.Of.Algorithms.Using.Cpp.Pseudocode.3rd.Edition.eBook-LiB.chm
Mcgraw Hill - Data Structures Demystified.chm
poa.pdf
T.H.Cormen & others - Introduction to Algorithms. 2nd Ed.pdf
Wiley.Interscience.Practical.Genetic.Algorithms.May.2004.eBook-LinG.pdf
(ebook - HLP - Programming) Algorithm Design Manual.hlp
0262011948.pdf
0471469459.pdf
Addison.Wesley.Algorithms..pdf
McGraw Hill - Introduction To Algorithms, 2nd Edition.pdf
Introduction to Algorithms(Instructor's Manual).pdf
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Multilevel Analysis: Techniques and Applications

Despite the book being an introduction, it includes a discussion of many extensions and special applications. As an introduction, it will be useable in courses in a variety of fields, such as psychology, education, sociology, and business. The various extensions and special applications make it useful to researchers who work in applied or theoretical research, and to methodologists that have to consult with these researchers. The basic models and examples are discussed in non-technical terms; the emphasis is on understanding the methodological and statistical issues involved in using these models. Some of the extensions and special applications contain more technical discussions, either because that is necessary for understanding what the model does, or as an introduction to more advanced treatments. Thus, the book will be useful as an introduction and as a standard reference for a large variety of applications.
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Energy, Sustainability and the Environment: Technology, Incentives, Behavior

The book's three part treatment is based on a clear and rigorous exposition of a wide range of options to reduce the carbon footprint Part 1 of the book, Challenge of Sustainability, examines the fundamental drivers of energy demand - economic growth, the need for basic energy services, and the interdependence of economic, political, environmental, social, equity, legacy and policy issues. Part 2 of the book, Technological Solutions, examines how energy can be used to support basic energy service needs of homes, commercial and industrial facilities and for other applications. Part 3 of the book, case studies, covers a number of innovative projects, initiatives, concepts or self-imposed targets in different parts of the world with the aim of significantly reducing energy use and carbon footprint of a company, a community, a city or an entire country.
There was a widespread recognition among environmental engineers and energy economist of the importance of carbon reduction while sustaining the firm's economic growth. The only book to bring together both subjects into one easy to understand reference, Carbon Reduction and Economic Sustainability not only clearly explains which option has the lowest energy/carbon footprint but also which option would better suit the business in question. This includes carbon reduction for residential, transport, industrial and public sectors.
The only book to clearly explain the economic and environmental engineering aspects of carbon reduction.
Case studies taken from a number of international projects.
Carbon reduction options for all sectors of society.
The role of the planning system in carbon reduction.
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Appetite for Reduction: 125 Fast and Filling Low-Fat Vegan Recipes

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"Advances in Evolutionary Algorithms" ed. by Witold Kosinski

Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge Evolutionary Algorithms field.
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice.
Contents
Part I: Evolutionary Algorithms
1 Limit Properties of Evolutionary Algorithms
2 Evolutionary Systems Identification: New Algorithmic Concepts and Applications
3 FPBIL: A Parameter-free Evolutionary Algorithm
Part II: Hybrid and Harmony Search
5 An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)
6 A Simple Hybrid Particle Swarm Optimization
7 Pxecent Advances in Harmony Search
A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings
9 Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization
Part III: Dynamic Environment and Multi-Objective Optimization
10 Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments
11 Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments
12 Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems
13 Evolutionary Multi-Objective PxObust Optimization
14 Improving InterpretabiIity of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms
15 Multi-objective Uniform-divers ity Genetic Algorithm (MUG A)
16 EA-based Problem Solving Environment over the GRID
Part IV: Applications
17 Evolutionary Methods for Learning Bayesian Network Structures
18 Design of Phased Antenna Arrays using Evolutionary Optimization Techniques
19 Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem
20 Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design
21 Evolutionary Computation Applied to Urban Traffic Optimization
22 Evolutionary Algorithms in Decision Tree Induction
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Statistics of Financial Markets: An Introduction

Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial time series, to select portfolios and manage risks making realistic assumptions of the market behaviour.
The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic.
For the second edition the book has been updated and extensively revised. Several new aspects have been included, among others a chapter on credit risk management.
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Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration

Besides the classical theory, the book contains chapters on reproducing kernel Hilbert spaces and weighted integration, duality theory for digital nets, polynomial lattice rules, the newest constructions by Niederreiter and Xing and many more. The authors present an accessible introduction to the subject based mainly on material taught in undergraduate courses with numerous examples, exercises and illustrations.

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Introduction to Bio-Ontologies

Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications.
The first part of the book defines ontology and bio-ontologies. It also explains the importance of mathematical logic for understanding concepts of inference in bio-ontologies, discusses the probability and statistics topics necessary for understanding ontology algorithms, and describes ontology languages, including OBO (the preeminent language for bio-ontologies), RDF, RDFS, and OWL.
The second part covers significant bio-ontologies and their applications. The book presents the Gene Ontology; upper-level ontologies, such as the Basic Formal Ontology and the Relation Ontology; and current bio-ontologies, including several anatomy ontologies, Chemical Entities of Biological Interest, Sequence Ontology, Mammalian Phenotype Ontology, and Human Phenotype Ontology.
The third part of the text introduces the major graph-based algorithms for bio-ontologies. The authors discuss how these algorithms are used in overrepresentation analysis, model-based procedures, semantic similarity analysis, and Bayesian networks for molecular biology and biomedical applications.
With a focus on computational reasoning topics, the final part describes the ontology languages of the Semantic Web and their applications for inference. It covers the formal semantics of RDF and RDFS, OWL inference rules, a key inference algorithm, the SPARQL query language, and the state of the art for querying OWL ontologies.
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Pathology Ebook Collection

Kumar Robbins and Cotran Pathologic Basis of Disease 6th Ed 1999 vol 1.pdf 49.1 MB
Kumar Robbins and Cotran Pathologic Basis of Disease 6th Ed 1999 vol 2.pdf 93.6 MB
Kumar Robbins and Cotran Pathologic Basis of Disease 6th Ed 1999.pdb 28.8 MB
Kumar Robbins and Cotran Pathologic Basis of Disease 7th Ed 2004.chm 236 MB
Kumar Robbins and Cotran Pathologic Basis of Disease 8th Ed 2009.chm 62.2 MB
Lazenby Handbook of pathophysiology 2011.pdf 76.7 MB
McPhee Pathophysiology of disease 1997.pdf 107 MB
Mills Histology for Pathologists 2007.chm 369 MB
Orell & Sterrett

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Genetics for ENT Specialists : The Molecular Genetic Basis of ENT Disorders

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Lattice Basis Reduction An Introduction to the LLL Algorithm and Its Applications

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