Algorithms in a Nutshell

Algorithms in a Nutshell

This updated edition of 'Algorithms in a Nutshell' describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs.

Author: George T. Heineman

Publisher:

ISBN: 1491948922

Category: Computers

Page: 373

View: 710

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.
Categories: Computers

Algorithms in a Nutshell

Algorithms in a Nutshell

A Practical Guide George T. Heineman, Gary Pollice, Stanley Selkow. the corresponding GCD implementation on random computations, the performance of ModGCD is quadratic, or O(n2). The analysis is challenging and it turns out that the ...

Author: George T. Heineman

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491912980

Category: Computers

Page: 390

View: 322

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance. 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
Categories: Computers

Knowledge Networks

Knowledge Networks

Algorithms in a nutshell: A practical guide. “O'Reilly Media, Inc.” Hurmelinna-Laukkanen, P., & Nätti, S. (2012). Network orchestration for knowledge mobility: The case of an international innovation community.

Author: Denise Bedford

Publisher: Emerald Group Publishing

ISBN: 9781839829505

Category: Business & Economics

Page: 320

View: 333

Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.
Categories: Business & Economics

An Introduction to Algorithmic Trading

An Introduction to Algorithmic Trading

Heineman, George T., Pollice, Gary, and Selkow, Stanley, Algorithms in a Nutshell (2009) O'Reilly Media Inc., Sebastopol, ... Ser-Huang Poon, A Practical Guide to Forecasting financial market Volatility (2005), John Wiley & Sons Ltd, ...

Author: Edward Leshik

Publisher: John Wiley & Sons

ISBN: 9781119975090

Category: Business & Economics

Page: 272

View: 656

Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success. The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going. The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts. The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms. All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.
Categories: Business & Economics

Learning Algorithms

Learning Algorithms

With this book, you will: Examine fundamental algorithms central to computer science and software engineering Learn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approaches ...

Author: George Heineman

Publisher: O'Reilly Media

ISBN: 1492091065

Category: Computers

Page: 350

View: 929

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in multiple languages. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of key concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem--simulating the experience you might find in a technical code interview. Examine fundamental algorithms central to computer science and software engineering Learn common strategies for efficient problem solving--such as Divide and Conquer, Dynamic Programming, and Greedy Approaches Analyze code to evaluate time complexity using big O notation Use existing Java and Python libraries to solve problems using algorithms Understand the key steps in algorithms presented in the book Use example code in your programs and documentation
Categories: Computers

Windows 98 Annoyances

Windows 98 Annoyances

... Power Programming with RPC Mastering Algorithms with Perl Linux in a Nutshell 2nd Ed . Practical C Programming , 3rd Ed . Mastering Regular Expressions Linux Multimedia Guide termcap & terminfo Practical C ++ Programming Perl5 ...

Author: David Karp

Publisher: "O'Reilly Media, Inc."

ISBN: 1565924177

Category: Computers

Page: 478

View: 445

A guide to the failings of Windows 98 explains how to customize the system so as to avoid the inconvenience of software applications that overwrite file associations, repetitive warning screens, and unused icons crowding the desktop
Categories: Computers

Hands On Machine Learning with scikit learn and Scientific Python Toolkits

Hands On Machine Learning with scikit learn and Scientific Python Toolkits

A practical guide to implementing supervised and unsupervised machine learning algorithms in Python Tarek Amr ... This second part of our objective is what regularization does in a nutshell. Two algorithms are commonly used for ...

Author: Tarek Amr

Publisher: Packt Publishing Ltd

ISBN: 9781838823580

Category: Computers

Page: 384

View: 201

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven problem-solving with hands-on examples Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You’ll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you’ll gain a thorough understanding of its theory and learn when to apply it. As you advance, you’ll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms. By the end of this machine learning book, you’ll have learned how to take a data-driven approach to provide end-to-end machine learning solutions. You’ll also have discovered how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production. What you will learn Understand when to use supervised, unsupervised, or reinforcement learning algorithms Find out how to collect and prepare your data for machine learning tasks Tackle imbalanced data and optimize your algorithm for a bias or variance tradeoff Apply supervised and unsupervised algorithms to overcome various machine learning challenges Employ best practices for tuning your algorithm’s hyper parameters Discover how to use neural networks for classification and regression Build, evaluate, and deploy your machine learning solutions to production Who this book is for This book is for data scientists, machine learning practitioners, and anyone who wants to learn how machine learning algorithms work and to build different machine learning models using the Python ecosystem. The book will help you take your knowledge of machine learning to the next level by grasping its ins and outs and tailoring it to your needs. Working knowledge of Python and a basic understanding of underlying mathematical and statistical concepts is required.
Categories: Computers

Windows Me Annoyances

Windows Me Annoyances

... SERIES SYSTEM ADMINISTRATION PROGRAMMING Apache : The Definitive Guide , 2nd Ed . Developing Java Beans Practical ... Definitive Java Foundation Classes in a The Networking CD Bookshelf Mastering Algorithms in C Reference Nutshell ...

Author: David Karp

Publisher: "O'Reilly Media, Inc."

ISBN: 059600060X

Category: Computers

Page: 486

View: 707

Explains how to configure Windows Me for maximum control and flexibility, avoid the Home Networking and System Restore wizard, and use Windows Script Host to eliminate annoyances.
Categories: Computers

Essential SNMP

Essential SNMP

MAC AppleScript in a Nutshell AppleWorks 6 : The Missing Manual Crossing Platforms iMovie : The Missing Manual Mac ... The Missing Manual Photoshop Cookbook REALbasic : The Definitive Guide PROGRAMMING C ++ : The Core Language Practical ...

Author: Douglas R. Mauro

Publisher: "O'Reilly Media, Inc."

ISBN: 0596000200

Category: Computers

Page: 340

View: 427

A practical introduction to SNMP for system network administrators. Starts with the basics of SNMP, how it works and provides the technical background to use it effectively.
Categories: Computers

Python and XML

Python and XML

PROGRAMMING C ++ : The Core Language Practical C ++ Programming Practical C Programming , 3rd Ed . High ... MAC AppleScript in a Nutshell AppleWorks 6 : The Missing Manual Crossing Platforms iMovie : The Missing Manual Mac OS in a ...

Author: Christopher A. Jones

Publisher: "O'Reilly Media, Inc."

ISBN: 0596001282

Category: Computers

Page: 386

View: 722

This book has two objectives--to provide a comprehensive reference on using XML with Python; and to illustrate the practical applications of these technologies in an enterprise environment with examples.
Categories: Computers