Showing posts with label Algorithms. Show all posts
Showing posts with label Algorithms. Show all posts

Sunday, September 22, 2013

Introduction to Mathematical Programming 4th Edition, Winston


Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 4th Edition by Wayne L. Winston and Munirpallam Venkataramanan describes model-formulation, model-building expertise and interpretation of computer software output. Focusing on deterministic models, this book is designed for the first half of an operations research sequence.

This text gives self-contained chapters that make it flexible sufficient for one- or two-semester courses ranging from superior beginning to intermediate in level. The book has a robust computer orientation and emphasizes model-formulation and mannequin-building skills. Every matter features a corresponding computer-based mostly modeling and answer method and each chapter presents the software program tools needed to unravel realistic problems.

LINDO, LINGO, and Premium Solver for Training software program packages are available with the book. The subjects covered include: formulations, the geometry of linear optimization, duality principle, the simple method, sensitivity analysis, robust optimization, massive scale optimization network flows, solving issues with an exponential variety of constraints and the ellipsoid method, interior point methods, semi definite optimization, solving real world problems with computer software, discrete optimization formulations and algorithms.

Writer has revealed over 20 articles in leading journals and has received many educating awards, together with the school-huge MBA award 4 times. His current interest is in exhibiting how spreadsheet models can be utilized to solve business issues in all disciplines, particularly in finance and marketing.

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Friday, September 20, 2013

Logic and Computer Design Fundamentals 4th Edition, Mano


Logic and Computer Design Fundamentals 4th Edition by M. Morris Mano and Charles Kime provides sturdy emphasis on the fundamentals underlying up to date logic design using hardware description languages, synthesis, and verification. This book focuses on the ever-evolving purposes of basic computer design ideas with sturdy connections to real-world technology.

Therapy of logic design, digital system design, and computer design is presented to make this book excellent for self-research by engineers and computer scientists. This book provides strong digital system design fundamentals whereas carrying out a gradual, bottom-up development of fundamentals. Companion Netsite affords 12 studying dietary supplements consisting of recent material and deleted material from prior editions, code for all VHDL and Verilog examples, 25% of the issue solutions, and projection originals for all figures and main tables.

Roughly 40% of chapter issues are new or revised. Many new real-world examples and problems have been added. Instance and problems are then used to illustrate the procedures for arriving at a description of an answer that may function enter to CAD tools. There is larger emphasis on formulation stage of design process -- recognizing computerized design tools now carry out lots of the subsequent steps.

There may be vital reorganization of content to better fit course topics. This book updates to technological content material to maintain material present with subjects on Enter-Output and Communication, excessive Efficiency CPU Concepts, architectural Improvements and transient description and illustration of the Espresso algorithm for example of a realistic approach to 2-leve circuit optimization.

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Saturday, September 14, 2013

Starting Out with Programming Logic and Design 3rd Edition


Starting Out with Programming Logic and Design 3rd Edition by Tony Gaddis orients college students to programming ideas and logic without assuming any earlier programming experience. In the profitable, accessible style of Tony Gaddis’ finest-promoting texts, useful examples and detail-oriented explanations allow college students to change into comfy with fundamental ideas and logical thought processes used in programming without the complication of language syntax.

A language-unbiased approach allows students to gain confidence and construct skills before shifting on to a more comprehensive language-particular course. Modern coverage and Gaddis’ famend writing type appeals to right now’s students. Program design, selection structures, and repetition structures-key subjects that inexperienced persons need to master are covered slowly using a number of examples.

Capabilities are covered early but with sufficient flexibility to be moved later within the course. Menu-driven programming and enter validation are covered in separate chapters, allowing instructors to reorder coverage. An appendix, Getting Started with Alice, presents an outline of the Alice programming environment.

A new set of Debugging Exercises have been added to a lot of the chapters. The scholar examines a set of pseudocode algorithms and identifies logical errors. All through the book, lots of the flowcharts have been revised so they appear more according to the pseudocode. In Chapter 5 the part on nested loops has been expanded with an extra example.

College students achieve confidence of their program design skills to transition into more complete programming courses. The book is good for a programming logic course taught as a precursor to a language-specific introductory programming course, or for the primary a part of an introductory programming course.

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Saturday, September 7, 2013

Design Patterns: Elements of Reusable Object-Oriented Software


Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm, Ralph Johnson and John Vlissides gives timeless solutions to widespread problems in software design. It describes patterns for managing object creation, composing objects into bigger buildings, and coordinating control flow between objects.

The book offers numerous examples where utilizing composition relatively than inheritance can enhance the reusability and suppleness of code. Word, though, that it is not a tutorial however a catalog that you should utilize to seek out an object-oriented design pattern that is appropriate for the wants of your explicit software--a range for virtuoso programmers who respect (or require) consistent, nicely-engineered object-oriented designs.

This book is not an introduction to object-oriented technology or design. Many books already do a superb job of that. This book assumes you're reasonably proficient in not less than one object-oriented programming language, and it is best to have some experience in object-oriented design as well. You definitely shouldn't rush to the closest dictionary the moment we mention "sorts" and "polymorphism," or "interface" as opposed to "implementation" inheritance.

Then again, this isn't a complicated technical treatise either. It is a book of design patterns that describes simple and chic options to particular problems in object-oriented software program design. Design patterns capture solutions which have developed and evolved over time. Therefore they don't seem to be the designs people. They replicate untold redesign and recoding as developers have struggled for larger reuse and adaptability of their software. Design patterns capture these solutions in a succinct and simply utilized form.

The design patterns require neither uncommon language features nor superb programming tips with which to astound your friends and managers. All might be implemented in commonplace object-oriented languages, though they may take somewhat more work than ad hoc solutions. However the extra effort invariably pays dividends in elevated flexibility and reusability.

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CISSP All-in-One Exam Guide 6th Edition, Shon Harris


CISSP All-in-One Exam Guide 6th Edition by Shon Harris describes all 10 CISSP examination domains developed by the International Data Systems Security Certification Consortium (ISC2). This authoritative exam guide features studying objectives originally of every chapter, examination suggestions, practice questions, and in-depth explanations. Written by the main skilled in IT safety certification and coaching, this book helps you move the exam with ease and likewise serves as an important on-the-job reference.

This book covers information security governance and risk management, entry control, safety structure and design, physical and environmental security, telecommunications and network safety, cryptography, business continuity and catastrophe recovery, authorized, laws, compliance, and investigations, software program development safety and security operations.

Electronic content material includes 1400+ practice exam questions in a Home windows-based mostly take a look at engine with a brand new custom examination generation characteristic that allows you to practice by area or take a complete CISSP practice examination, video coaching module from Shon Harris-single domain and Adobe Digital Edition ebook-free download (subject to Adobe System Necessities).

Effectively regarded for its partaking and informative type, this text provides one hundred% full coverage of the exam targets for the Licensed Data Safety Specialist credentialing exam from (ISC)2. Up to date to make sure complete coverage of the most recent body of data and domains from (ISC)2, this new edition additionally offers references for government workers and contractors subject to new requirements.

Exam suggestions spotlight precise examination matters and technical discussion sidebars provide a stage of instruction not present in other certification guides. The text also contains hands-on examples and workout routines that reinforce practical studying and pattern practice questions at the end of every chapter that take a look at for comprehension and put together you for each subject area or area of the exam.

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Wednesday, August 28, 2013

Algorithms & Data Structures: The Science of Computing


Algorithms & Data Structures: The Science of Computing by Douglas Baldwin and Greg Scragg takes a step back to introduce and explore algorithms and the content material of the code. Focusing on three core topics: design (the architecture of algorithms), idea (mathematical modeling and analysis), and the scientific method (experimental confirmation of theoretical results), the book helps college students see that computer science is about drawback solving, not merely the memorization and recitation of languages.

Unlike many other texts, the methods of inquiry are defined in an integrated manner so students can see explicitly how they interact. Recursion and object oriented programming are emphasized as the main control construction and abstraction mechanism, respectively, in algorithm design. Designed for the CS2 course, the book includes text workouts and has laboratory exercises on the supplemental Internet site.

This book reflects the principle that computer science is not solely about studying the best way to converse in programming languages. It covers recursion, binary timber, stacks, queues, hash tables, and object-oriented algorithms. Written especially for CS2 college students, accompanying Net site contains lab exercises, code, and instructor's notes, and more.

Douglas Baldwin (Honeoye Falls, NY) is an Associate Professor of Computer Science at SUNY Geneseo. A graduate of Yale University, he has taught courses from CS1 to Compiler Construction, and from Networking to Theory of Programming Languages. He has authored many journal articles and conference papers within the field.

Greg Scragg is Professor Emeritus from SUNY Geneseo with over thirty years experience in computer science. Since his graduation from the University of California, he has received several grants related to computer science education and has written over 60 articles for computer science journals.

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Monday, August 12, 2013

Algorithm Design by Jon Kleinberg and Éva Tardos


Algorithm Design by Jon Kleinberg and Éva Tardos introduces algorithms by looking at the real-world problems that inspire them. The book teaches students a spread of design and analysis methods for problems that come up in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the function of algorithms within the broader field of computer science.

This book gives elementary introduction to algorithm design and analyis. Topics embody: arithmetic foundation, divided-and-conquer, dynamic programming, grasping method, NP-completeness complexity, approximation algorithm, randomized algorithm, on-line algorithm, et al.

After reading this book, students should be capable of understand the ideas and skills of algorithm design, implement some well known algorithms and analyze the performance of algorithms. The authors do an amazing job in organizing this book in logical chapter. The chapters are organized into techniques to search out solutions to particular problems, like for example, Greedy Algorithms, Divide and Conquer, and Dynamic Programming.

Each chapter contains just a few representative problems of the technique or subject discussed. These are mentioned in nice detail, which is useful to initially grasp the concepts. Moreover, the tip of every chapter accommodates numerous solved exercises. These are written up in much less detail than the chapter problems, because they're normally slight variations or applications of the consultant problems. I found these to be very useful to me, as to construct up a stronger grasp of the problem at hand.

Furthermore, the progressive search for an answer, comparable to for the Weighted Interval Scheduling downside utilizing dynamic programming, is important to understanding the process by which we will find such algorithms. The book is well written, in a transparent, comprehensible language.

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The Algorithm Design Manual 2nd Edition, Skiena


The Algorithm Design Manual 2nd Edition by Steven S Skiena doubles the tutorial material and workouts over the primary edition with full online support for lecturers, and a very updated and improved internet site element with lecture slides, audio and video. It accommodates a novel catalog figuring out the 75 algorithmic issues that arise most frequently in practice, leading the reader down the proper path to resolve them.

There are several NEW "conflict stories" relating experiences from real-world functions with up-to-date links leading to the perfect algorithm implementations available in C, C++, and Java. Workout routines embrace "job interview issues" from main software program companies. Highlighted take-home lesson boxes emphasize important concepts. It offers comprehensive references to each survey articles and the primary literature.

There are exercises points to related programming contest problem problems. Many algorithms are introduced with precise code (written in C) as well as pseudo-code. This book continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Increasing on the first edition, the book now serves as the primary textbook of alternative for algorithm design courses while sustaining its standing as the premier practical reference information to algorithms for programmers, researchers, and students.

This book gives straightforward access to combinatorial algorithms expertise, stressing design over analysis. The first half, Strategies, supplies accessible instruction on methods for designing and analyzing computer algorithms. The second part, Assets, is meant for browsing and reference, and contains the catalog of algorithmic resources, implementations and an extensive bibliography.

It is a vital learning instrument for students needing a solid grounding in algorithms, in addition to a particular text/reference for professionals who need an authoritative and insightful guide.

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Algorithms in a Nutshell by George T. Heineman


Algorithms in a Nutshell, by George T. Heineman, Gary Pollice and Stanley Selkow describes numerous current algorithms for fixing a wide range of problems, and helps you select and implement the appropriate algorithm for your needs with simply sufficient math to let you perceive and analyze algorithm performance.

With its give attention to application, somewhat than theory, this book supplies efficient code solutions in a number of programming languages you could simply adapt to a selected project. Each main algorithm is offered in the style of a design sample that features information to help you understand why and when the algorithm is appropriate.

With this book, you'll resolve a selected coding drawback or improve on the efficiency of an existing solution, quickly locate algorithms that relate to the problems you need to clear up, and determine why a selected algorithm is the best one to use, get algorithmic solutions in C, C++, Java, and Ruby with implementation suggestions, learn the anticipated performance of an algorithm, and the conditions it must carry out at its best.

Creating strong software requires the use of efficient algorithms, but programmers seldom think about them till an issue occurs. You can discover the affect that similar design selections have on completely different algorithms, study advanced data buildings to improve the efficiency of algorithms. With this book, you'll discover ways to improve the performance of key algorithms essential for the success of your software program applications.

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Algorithms Unlocked by Thomas H. Cormen


Algorithms Unlocked by Thomas H. Cormen offers a normal clarification with limited arithmetic, of how algorithms allow computers to resolve problems. Readers will learn what computer algorithms are, the way to describe them, and how one can consider them.

They will discover simple methods to seek for data in a computer; methods for rearranging information in a computer right into a prescribed order ("sorting"); tips on how to resolve basic problems that can be modeled in a computer with a mathematical construction referred to as a "graph" (helpful for modeling highway networks, dependencies amongst duties, and financial relationships); how one can clear up problems that ask questions on strings of characters corresponding to DNA structures.

This book additionally explains the basic principles behind cryptography; fundamentals of knowledge compression; and even that there are some issues that nobody has figured out how one can clear up on a computer in an inexpensive amount of time. Creator helps readers to attain a broad understanding of the important thing algorithms underlying much of computer science.

This book broadens the viewers by omitting most of this material, and usually simply asserting the asymptotic behavior moderately than deriving it. This reduces drastically the quantity of mathematics needed. The intellectual rigor is at least a textbook, however many subjects are omitted. The book additionally has no exercises.

The book’s strength is in its step-by-step explanations of how the algorithms work. It includes a few purposes, such because the GPS and safe credit score card transaction functions promised on the again cover blurb, together with fax machines (compression), package supply scheduling (shortest-path algorithms), and PERT charts (topological type). All the remedy of purposes is skimpy and appears tacked-on to a traditional abstract discussion of algorithms.

The GPS dialogue solely covers shortest-path algorithms, whereas omitting the equally-essential algorithms for determining the current position. The secure transaction dialogue solely covers public key cryptography and not certificates or session keys. For computer science students and practitioners, it's a great review of key algorithms that every computer scientist should understand. For non-practitioners, it truly unlocks the world of algorithms on the coronary heart of the tools we use every day.

Algorithms are at the center of computer science. It is a distinctive book in its try to open the sector of algorithms to a wider audience. It offers a simple-to-read introduction to summary subject, without sacrificing depth. This is an important contribution and there may be no person more certified than Thomas Cormen to bridge the information gap between algorithms experts and the final public.

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Introduction to Algorithms 3rd Edition, Thomas H. Cormen


Introduction to Algorithms 3rd Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, but makes their design and analysis accessible to all levels of readers. Every chapter is comparatively self-contained and can be utilized as a unit of study.

The algorithms are described in English and in a pseudocode designed to be readable by anybody who has completed a bit programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became an extensively used text in universities worldwide as well as the usual reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming.

The book has been revised and up to date throughout. It consists of two fully new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved remedy of dynamic programming and grasping algorithms and a new notion of edge-based flow within the material on flow networks. Many new workout routines and issues have been added for this edition.

It is a complete textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data buildings to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to particular algorithms for string matching, computational geometry, and number theory. The revised third edition notably provides a chapter on van Emde Boas bushes, one of the vital useful information structures, and on multithreaded algorithms, a topic of accelerating importance.

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Algorithms 4th Edition by Robert Sedgewick and Wayne


Algorithms 4th Edition by Robert Sedgewick and Kevin Wayne gives full treatment of data constructions and algorithms for sorting, looking, graph processing, and string processing, including fifty algorithms every programmer should know. New Java implementations are written in an accessible modular programming type, where all of the code is exposed to the reader and ready to use.

Algorithms are studied in the context of essential scientific, engineering, and industrial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many different books. This text engages reader curiosity with clear, concise text, detailed examples with visuals, carefully crafted code, historic and scientific context, and workouts at all levels.

A Scientific Strategy develops exact statements about performance, supported by acceptable mathematical models and empirical research validating these models. Authors have completely revised this new Fourth Version with plentiful Java scripts for an unlimited variation of applications. A brand new website at Princeton is dedicated to this book and has visualizations, much more code, exercises, answers, links, full implementations of many problems, and a complete online summary and synopsis of the book.

This text surveys the most important algorithms and data structures in use today. The textbook is organized into six chapters. Chapter 1: Fundamentals introduces a scientific and engineering basis for comparing algorithms and making predictions. It also includes our programming model. Chapter 2: Sorting considers several classic sorting algorithms, including insertion sort, mergesort, and quicksort. It also includes a binary heap implementation of a priority queue.

Chapter 3: Searching describes several classic symbol table implementations, including binary search trees, red-black trees, and hash tables. Chapter 4: Graphs surveys the most important graph processing problems, including depth-first search, breadth-first search, minimum spanning trees, and shortest paths. Chapter 5: Strings investigates specialized algorithms for string processing, including radix sorting, substring search, tries, regular expressions, and data compression.

Chapter 6: Context highlights connections to systems programming, scientific computing, commercial applications, operations research, and intractability. Applications to science, engineering, and industry are a key feature of the text. Authors motivate each algorithm that we address by examining its impact on specific applications.

The authors suggest this is for a second course in CS, but many serious students, whether independent or in undergrad, will find it useful for self teaching as well. In fact, the new website has self teaching resources if you are "going it alone" in your initial study of algorithms.

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