Computer Science

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms (Texts in Theoretical Computer Science)

By Juraj Hromkovič

Randomness is a robust phenomenon that may be harnessed to resolve numerous difficulties in all parts of desktop technological know-how. Randomized algorithms are frequently extra effective, less complicated and, strangely, additionally extra trustworthy than their deterministic opposite numbers. Computing projects exist that require billions of years of machine paintings whilst solved utilizing the quickest recognized deterministic algorithms, yet they are often solved utilizing randomized algorithms in a couple of minutes with negligible blunders probabilities.

Introducing the attention-grabbing global of randomness, this publication systematically teaches the most set of rules layout paradigms – foiling an adversary, abundance of witnesses, fingerprinting, amplification, and random sampling, and so forth. – whereas additionally offering a deep perception into the character of luck in randomization. Taking adequate time to offer motivations and to boost the reader's instinct, whereas being rigorous all through, this article is a truly powerful and effective creation to this interesting box.

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Python Network Programming Cookbook

Over 70 certain recipes to enhance useful strategies for a variety of realworld community programming tasks

About This Book

  • Demonstrates how one can write quite a few besopke client/server networking functions utilizing typical and well known third-party Python libraries
  • Learn tips on how to improve purchaser courses for networking protocols akin to HTTP/HTTPS, SMTP, POP3, FTP, CGI, XML-RPC, cleaning soap and REST
  • Provides useful, hands-on recipes mixed with brief and concise reasons on code snippets

Who This publication Is For

If you're a community programmer, system/network administrator, or an internet program developer, this e-book is perfect for you. you'll have a uncomplicated familiarity with the Python programming language and TCP/IP networking suggestions. although while you're a beginner, you'll advance an realizing of the ideas as you move with this publication. This publication will function a supplementary fabric for constructing hands-on abilities in any educational path on community programming.

What you are going to Learn

  • Develop TCP/IP networking client/server applications
  • Administer neighborhood machines' IPv4/IPv6 community interfaces
  • Write multi-purpose effective net consumers for HTTP and HTTPS protocols
  • Create electronic mail consumers to paintings with universal e mail protocols resembling SMTP, POP3, IMAP, and so on.
  • Scrape web pages and look for important information
  • Perform distant procedure management projects over Telnet and SSH connections
  • Interact with well known web content through internet prone similar to XML-RPC, cleaning soap, and leisure APIs
  • Monitor and examine significant universal community defense vulnerabilities

In Detail

Python is a superb language to exploit to put in writing code and feature enjoyable by means of prototyping purposes speedy. The presence of plenty of third-party libraries, often referred to as batteries, makes it much more more uncomplicated and swifter to prototype an software or to enforce a brand new set of rules. while you are attracted to growing the construction blocks for lots of functional net and networking functions that depend upon networking protocols then this ebook is a must-have.

This publication highlights significant facets of community programming in Python ranging from writing basic networking consumers, to constructing advanced screen-scraping and community safety tracking scripts. It creates the construction blocks for lots of functional net and networking functions that depend on numerous networking protocols. This publication provides the facility and sweetness of Python in fixing the various real-world projects within the quarter of community programming, process and community management, community tracking, and web-application improvement.

This ebook develops your skill to unravel a variety of community programming initiatives in Python. we are going to commence via exploring the Python common library capabilities to create client/server community and manage your neighborhood networking assets to be had lower than either IPv4 and IPv6. the sensible concentration keeps with growing net and e mail consumers, scraping websites, fetching details from numerous web pages, and looking for info on the net equivalent to Amazon, Flickr, and different websites. It extra develops your abilities to research your community safety vulnerabilities utilizing complex community packet trap and research techniques.

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Algorithms (4th Edition)

By Robert Sedgewick, Kevin Wayne

This fourth version of Robert Sedgewick and Kevin Wayne’s Algorithms is the top textbook on algorithms this day and is ordinary in schools and universities all over the world. This publication surveys an important desktop algorithms at present in use and offers a whole remedy of knowledge buildings and algorithms for sorting, looking, graph processing, and string processing--including fifty algorithms each programmer may still recognize. during this version, new Java implementations are written in an obtainable modular programming variety, the place the entire code is uncovered to the reader and able to use.

 

The algorithms during this ebook signify a physique of information constructed during the last 50 years that has develop into vital, not only for pro programmers and machine technological know-how scholars yet for any pupil with pursuits in technology, arithmetic, and engineering, let alone scholars who use computation within the liberal arts.

 

The spouse site, algs4.cs.princeton.edu, comprises

  • An on-line synopsis
  • Full Java implementations
  • Test facts
  • Exercises and solutions
  • Dynamic visualizations
  • Lecture slides
  • Programming assignments with checklists
  • Links to similar fabric

The MOOC on the topic of this publication is on the market through the "Online direction" hyperlink at algs4.cs.princeton.edu. The path bargains greater than a hundred video lecture segments which are built-in with the textual content, broad on-line checks, and the large-scale dialogue boards that experience confirmed so precious. provided each one fall and spring, this direction usually draws tens of hundreds of thousands of registrants.

 

Robert Sedgewick and Kevin Wayne are constructing a latest method of disseminating wisdom that totally embraces expertise, permitting humans everywhere in the international to find new methods of studying and educating. by means of integrating their textbook, on-line content material, and MOOC, all on the cutting-edge, they've got equipped a distinct source that enormously expands the breadth and intensity of the tutorial experience.

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Computer Vision: Models, Learning, and Inference

This contemporary remedy of laptop imaginative and prescient makes a speciality of studying and inference in probabilistic types as a unifying subject. It exhibits find out how to use education info to benefit the relationships among the saw picture info and the facets of the realm that we want to estimate, corresponding to the 3D constitution or the article category, and the way to take advantage of those relationships to make new inferences in regards to the global from new photo facts. With minimum necessities, the e-book starts off from the fundamentals of likelihood and version becoming and works as much as actual examples that the reader can enforce and regulate to construct worthwhile imaginative and prescient structures. essentially intended for complex undergraduate and graduate scholars, the specific methodological presentation may also be invaluable for practitioners of computing device imaginative and prescient. - Covers state of the art strategies, together with graph cuts, desktop studying, and a number of view geometry. - A unified process indicates the typical foundation for ideas of significant desktop imaginative and prescient difficulties, similar to digital camera calibration, face popularity, and item monitoring. - greater than 70 algorithms are defined in enough aspect to enforce. - greater than 350 full-color illustrations magnify the textual content. - The therapy is self-contained, together with the entire history arithmetic. - extra assets at www.computervisionmodels.com.

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Digital Media Processing: DSP Algorithms Using C

By Hazarathaiah Malepati

Multimedia processing calls for effective programming so one can optimize performance. facts, photo, audio, and video processing, a few or all of that are found in all digital units this day, are complicated programming environments. Optimized algorithms (step-by-step instructions) are tricky to create yet could make all of the distinction while constructing a brand new application.

This ebook discusses the most up-tp-date algorithms on hand that would maximize your programming protecting in brain the reminiscence and real-time constraints of the structure with that you are operating. quite a lot of algorithms is roofed detailing simple and complicated multimedia implementations, besides, cryptography, compression, and knowledge blunders correction. the final implementation suggestions might be built-in into many architectures that you simply end up operating with on a particular undertaking. Analog units' BlackFin expertise is used for examples during the ebook.

*Discusses tips on how to lessen set of rules improvement instances to streamline your programming
*Covers all of the most modern algorithms wanted for contrained systems
*Includes case stories on WiMAX, GPS, and conveyable media gamers

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Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing)

"Machine studying and knowledge Mining for desktop defense" presents an summary of the present nation of study in computing device studying and knowledge mining because it applies to difficulties in computing device protection. This booklet has a robust specialize in details processing and combines and extends effects from machine defense.

The first a part of the booklet surveys the knowledge resources, the educational and mining tools, evaluate methodologies, and previous paintings correct for machine defense. the second one a part of the ebook contains articles written by means of the head researchers operating during this region. those articles bargains with issues of host-based intrusion detection in the course of the research of audit trails, of command sequences and of method calls in addition to community intrusion detection in the course of the research of TCP packets and the detection of malicious executables.

This publication fills the good desire for a e-book that collects and frames paintings on constructing and employing tools from desktop studying and knowledge mining to difficulties in laptop security.

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Building a Recommendation System with R

Learn the artwork of creating powerful and robust suggestion engines utilizing R

About This Book

  • Learn to take advantage of a variety of info mining techniques
  • Understand probably the most renowned suggestion techniques
  • This is a step by step consultant packed with real-world examples that will help you construct and optimize advice engines

Who This publication Is For

If you're a efficient developer with a few wisdom of computing device studying and R, and need to additional improve your talents to construct suggestion platforms, then this e-book is for you.

What you are going to Learn

  • Get to grips with crucial branches of recommendation
  • Understand numerous facts processing and information mining techniques
  • Evaluate and optimize the advice algorithms
  • Prepare and constitution the information earlier than construction models
  • Discover varied recommender platforms in addition to their implementation in R
  • Explore quite a few overview suggestions utilized in recommender systems
  • Get to grasp approximately recommenderlab, an R package deal, and know how to optimize it to construct effective advice systems

In Detail

A suggestion method plays broad info research that allows you to generate feedback to its clients approximately what may possibly curiosity them. R has lately turn into probably the most renowned programming languages for the knowledge research. Its constitution helps you to interactively discover the knowledge and its modules include the main state of the art ideas due to its broad foreign group. This virtue of the R language makes it a well-liked selection for builders who're trying to construct suggestion systems.

The e-book may also help you know how to construct recommender structures utilizing R. It starts through explaining the fundamentals of knowledge mining and computing device studying. subsequent, you'll be familiarized with find out how to construct and optimize recommender versions utilizing R. Following that, you can be given an outline of the most well-liked advice concepts. ultimately, you'll discover ways to enforce all of the innovations you will have discovered during the e-book to construct a recommender system.

Style and approach

This is a step by step consultant that might take you thru a chain of center initiatives. each job is defined intimately with assistance from useful examples.

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Kernel Adaptive Filtering: A Comprehensive Introduction

Online studying from a sign processing perspective

There is elevated curiosity in kernel studying algorithms in neural networks and a starting to be desire for nonlinear adaptive algorithms in complicated sign processing, communications, and controls. Kernel Adaptive Filtering is the 1st publication to give a entire, unifying creation to on-line studying algorithms in reproducing kernel Hilbert areas. in accordance with examine being performed within the Computational Neuro-Engineering Laboratory on the collage of Florida and within the Cognitive platforms Laboratory at McMaster college, Ontario, Canada, this specific source elevates the adaptive filtering conception to a brand new point, offering a brand new layout technique of nonlinear adaptive filters.

  • Covers the kernel least suggest squares set of rules, kernel affine projection algorithms, the kernel recursive least squares set of rules, the speculation of Gaussian approach regression, and the prolonged kernel recursive least squares algorithm

  • Presents a robust model-selection technique referred to as greatest marginal likelihood

  • Addresses the relevant bottleneck of kernel adaptive filters—their growing to be structure

  • Features twelve computer-oriented experiments to augment the options, with MATLAB codes downloadable from the authors' internet site

  • Concludes each one bankruptcy with a precis of the cutting-edge and capability destiny instructions for unique research

Kernel Adaptive Filtering is perfect for engineers, desktop scientists, and graduate scholars drawn to nonlinear adaptive platforms for on-line purposes (applications the place the information movement arrives one pattern at a time and incremental optimum suggestions are desirable). it's also an invaluable advisor in case you search for nonlinear adaptive filtering methodologies to resolve functional problems.

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Computer Networks: An Open Source Approach (Connect, Learn, Succeed)

By Ying-Dar Lin

Ying-Dar Lin, Ren-Hung Hwang, and Fred Baker’s Computer Networks: An Open resource Approach is the 1st textual content to enforce an open resource method, discussing the community layers, their functions, and the implementation matters. The booklet beneficial properties fifty six open-source code examples to slender the space among area wisdom and hands-on abilities. scholars study by means of doing and are aided by way of the book's wide pedagogy.

Lin/Hwang/Baker is designed for the 1st direction in desktop networks for machine technological know-how undergraduates or first 12 months graduate students.

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Optimization Techniques for Solving Complex Problems (Wiley Series on Parallel and Distributed Computing)

Real-world difficulties and smooth optimization thoughts to resolve them

Here, a crew of overseas specialists brings jointly middle principles for fixing complicated difficulties in optimization throughout a wide selection of real-world settings, together with laptop technological know-how, engineering, transportation, telecommunications, and bioinformatics.

Part One—covers methodologies for complicated challenge fixing together with genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more.

Part Two—delves into functions together with DNA sequencing and reconstruction, position of antennae in telecommunication networks, metaheuristics, FPGAs, difficulties bobbing up in telecommunication networks, photograph processing, time sequence prediction, and more.

All chapters include examples that illustrate the functions themselves in addition to the particular functionality of the algorithms.?Optimization options for fixing complicated difficulties is a invaluable source for practitioners and researchers who paintings with optimization in real-world settings.

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