This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.

A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic Extends seminal works developed over the last four decades to derive and utilize present-day financial models Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.

With worked examples throughout and a range of online templates, Business and Financial Models explains the essential basics of planning, building and using business and financial models.

This IBM® Redbooks® publication addresses performance tuning topics to help leverage the virtualization strengths of the POWER® platform to solve clients’ system resource utilization challenges, and maximize system throughput and capacity. We examine the performance monitoring tools, utilities, documentation, and other resources available to help technical teams provide optimized business solutions and support for applications running on IBM POWER systems’ virtualized environments. The book offers application performance examples deployed on IBM Power Systems™ utilizing performance monitoring tools to leverage the comprehensive set of POWER virtualization features: Logical Partitions (LPARs), micro-partitioning, active memory sharing, workload partitions, and more. We provide a well-defined and documented performance tuning model in a POWER system virtualized environment to help you plan a foundation for scaling, capacity, and optimization

This IBM® Redbooks® publication provides a basic introduction to the IBM System Storage® N series, virtualization, and VMware 5.x. It explains how to use the N series with VMware vSphere 5 environments and the benefits of doing so. Examples are given on how to install and set up VMware ESXi server with the N series. The IBM System Storage N series used as a storage foundation offers unified storage solutions that provide industry-leading technologies in the areas of storage efficiencies, instantaneous virtual machine and datastore cloning for virtual servers and virtual desktops, and virtual data center backup and business continuance solutions. The information provided can be also be used as a foundation to create dynamic cloud solutions, making full use of underlying storage features and functions. This book provides a blueprint for how clients can create a virtualized infrastructure/storage cloud that will help to address current and future data storage business requirements. IBM System Storage N series in conjunction with VMware vSphere 5 helps complete the virtualization hierarchy by providing both a server and storage virtualization solution. Although this configuration can further assist with other areas of virtualization, networks, and applications, these areas of virtualization are not covered in detail in this book.

This IBM Redbooks® publication discusses the connectivity options available for use within and beyond the data center for the following IBM System z family of mainframes: zEnterprise® EC12 (zEC12) zEnterprise 196 (z196) zEnterprise 114 (z114) System z10® Enterprise Class (z10 EC) System z10 Business Class (z10 BC) This book highlights the hardware and software components, functions, typical uses, coexistence, and relative merits of these connectivity features. It helps readers to understand the connectivity alternatives that are available when planning and designing their data center infrastructures. The changes to this edition are based on the System z hardware announcement dated August 28, 2012. This book is intended for data center planners, IT professionals, system engineers, technical sales staff, and network planners who are involved in the planning of connectivity solutions for System z servers.

Probability, Statistics and Random Processes is designed to meet the requirements of students and is intended for beginners to help them understand the concepts from the first principles. Spread across 16 chapters, it discusses the theoretical aspects that have been refined and updated to reflect the current developments in the subjects. It expounds on theoretical concepts that have immense practical applications, giving adequate proofs to establish significant theorems.

The IBM® Linear Tape File System™ (LTFS) is the first file system that works in conjunction with Linear Tape-Open (LTO) tape technology to set a new standard for ease of use and portability for open systems tape storage. In 2011, LTFS won an Engineering Emmy Award for Innovation from the Academy of Television Arts & Sciences. This IBM Redbooks® publication helps you install, tailor, and configure the new IBM Linear Tape File System Single Drive Edition (LTFS SDE), Library Edition (LTFS LE), and Storage Manager (LTFS SM). LTFS is a file system that is implemented on dual-partition linear tape (IBM LTO Ultrium 5 tape drives (LTO-5), IBM LTO Ultrium 6 tape drives (LTO-6), and IBM TS1140 tape drives). LTFS makes tape look and work like any removable media, for example, a USB drive. Files and directories appear on the desktop as a directory listing. It is now simple to drag files to and from tape. Any application that is written to use disk files works with the same files on tape. LTFS SDE supports stand-alone drives only. LTFS LE supports tape libraries. LTFS LE presents each cartridge in the library as a subdirectory in the LTFS file system. With LTFS LE, you can list the contents and search all of the volumes in the library without mounting the volumes by using an in-memory index. The LTFS SM software solution provides storage lifecycle management of archive files. Although both the LTFS SDE and the LTFS LE can write data on tape, LTFS SM provides the interface to manage files of all types in a file system structure. This file system structure makes the control of the tape library transparent to the user. This publication is intended for anyone who wants to understand more about IBM Linear Tape System products and their implementation. This book is suitable for IBM clients, IBM Business Partners, IBM specialist sales representatives, and technical specialists.

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

So many of us have asked ourselves—what’s a business model? What’s a good business model? This book has all the answers—it explains what a business model is, what you have to do to get one, and what to do about the one you’ve already got. To be successful, your business model must be focused sharply on your customer. And you must think strategically about how to use your business model if you want to gain an advantage over your competitors. Whether an aspiring entrepreneur or a practicing manager who wants to create new business model, or a manager and leader who wants to understand, refine, and even reinvent a current model, this book will help with the creation, the delivery, and the capture of value. Business models describe the value proposition to the customer, the system that must be in place to create that value, and the logics needed to capture a reasonable share of that value for the _ rm. This book shows that the core of every business model is an agreement with your customers. If they don’t get the value they are seeking, you won’t either.

Hadoop Beginner's Guide introduces you to the essential concepts and practical applications of Apache Hadoop, one of the leading frameworks for big data processing. You will learn how to set up and use Hadoop to store, manage, and analyze vast amounts of data efficiently. With clear examples and step-by-step instructions, this book is the perfect starting point for beginners. What this Book will help me do Understand the trends leading to the adoption of Hadoop and determine when to use it effectively in your projects. Build and configure Hadoop clusters tailored to your specific needs, enabling efficient data processing. Develop and execute applications on Hadoop using Java and Ruby, with practical examples provided. Leverage Amazon AWS and Elastic MapReduce to deploy Hadoop on the cloud and manage hosted environments. Integrate Hadoop with relational databases using tools like Hive and Sqoop for effective data transfer and querying. Author(s) The author of Hadoop Beginner's Guide is an experienced data engineer with a focus on big data technologies. They have extensive experience deploying Hadoop in various industries and are passionate about making complex systems accessible to newcomers. Their approach combines technical depth with an understanding of the needs of learners, ensuring clarity and relevance throughout the book. Who is it for? This book is designed for professionals who are new to big data processing and want to learn Apache Hadoop from scratch. It is ideal for system administrators, data analysts, and developers with basic programming knowledge in Java or Ruby looking to get started with Hadoop. If you have an interest in leveraging Hadoop for scalable data management and analytics, this book is for you. By the end, you'll gain the confidence and skills to utilize Hadoop effectively in your projects.

Dive into the essentials of Oracle database administration with "OCA Oracle Database 11g: Database Administration I: A Real-World Certification Guide." Whether you're new to Oracle databases or preparing for the Oracle Certified Associate (OCA) certification, this book guides you through the necessary skills and knowledge to succeed, including practical techniques to handle real-world database administration challenges. What this Book will help me do Install and configure the Oracle 11g database software step-by-step. Gain a thorough understanding of Oracle Database architecture and storage structures. Learn to manage Oracle instances, including startup, shutdown, and performance monitoring. Master the skills necessary to perform backups, recoveries, and data migration with Oracle. Prepare effectively for Oracle Database Administration I certification exams utilizing real-world scenarios. Author(s) The authors, experienced Oracle DBAs and educators, bring years of real-world expertise to this guide. With professional experience managing Oracle databases in enterprise settings and teaching database concepts to students and professionals, they aim to make complex topics accessible and engaging. Their practical approach ensures you acquire not just the knowledge but also the confidence to implement what you learn. Who is it for? If you're an aspiring database administrator preparing for the Oracle Certified Associate exam or a professional looking to strengthen your skills in Oracle Database 11g, this book is for you. It's perfect for tech enthusiasts with a basic understanding of databases looking to progress their career. The step-by-step guidance ensures it's suitable for readers at all levels. It bridges the gap between theoretical knowledge and practical expertise.

Programming ArcGIS 10.1 with Python Cookbook offers a comprehensive guide for GIS professionals aiming to streamline their workflows using Python scripting within ArcGIS Desktop. This book provides hands-on recipes for automating geoprocessing tasks, managing map data, and creating custom tools, making it an essential resource for mastering efficient GIS operations. What this Book will help me do Understand the fundamentals of Python programming as it applies to GIS. Learn to automate tasks such as map production and geoprocessing. Develop customized tools and add-ons to extend ArcGIS capabilities. Improve efficiencies by fixing data errors and working with feature datasets. Gain the ability to schedule and manage complex GIS workflows using Python scripts. Author(s) Donald Eric Pimpler and Eric Pimpler are seasoned professionals in geospatial analysis, with years of experience incorporating Python programming into GIS workflows. Their approach combines practical insights with easy-to-follow methods, resulting in a clear and impactful guide for advancing your GIS skills. Who is it for? The ideal readers are GIS professionals or students in geographical sciences aiming to enhance their technical skills. Prior basic programming knowledge is helpful but not mandatory. The content is tailored for those looking to automate repetitive geospatial tasks and manage complex spatial datasets efficiently in ArcGIS. This book serves as a practical guide for gaining expertise in combining Python programming with GIS.

ElasticSearch Server is an excellent resource for mastering the ElasticSearch open-source search engine. This book takes you through practical steps to implement, configure, and optimize search capabilities, suitable for various data sets and applications, making faster and more accurate search outcomes accessible. What this Book will help me do Understand the core concepts of ElasticSearch, including data indexing, dynamic mapping, and search analysis. Develop practical skills in writing queries and filters to retrieve precise and relevant results. Learn to set up and efficiently manage ElasticSearch clusters for scalability and real-time performance. Implement advanced ElasticSearch functions like autocompletion, faceting, and geo-search. Utilize optimization techniques for cluster monitoring, health-checks, and tuning for reliable performance. Author(s) The authors of ElasticSearch Server are industry professionals with extensive experience in search technologies and system architecture. They have contributed to multiple tools and publications in the field of data search and analytics. Their writing aims to distill complex technical concepts into practical knowledge, making it valuable for readers from all backgrounds. Who is it for? This book is perfect for developers, system architects, and IT professionals seeking a robust and scalable search solution for their projects. Whether you're new to ElasticSearch or looking to deepen your expertise, this book will serve as a practical guide to implement ElasticSearch effectively. The only prerequisites are a basic understanding of databases and general query concepts, so prior search server knowledge is not required.

This IBM® Redbooks® publication will help you learn how to build a storage cloud with the IBM SmartCloud™ Storage Access solution, which consists of multiple hardware and software products including IBM Scale Out network Attached Storage (SONAS), IBM Storwize® V7000 Unified, IBM Tivoli® Storage Productivity Center, and more. To get you started, we cover the planning, installation, and configuration for each component. SmartCloud Storage Access is an IBM software product for storage cloud management that enables the cloud service with virtualization and automation. SCSA is the focal point to administer the storage cloud environment providing a self-service provision approach for the storage cloud users. New storage capacity can be easily deployed and accessed by the Internet or intranet. SmartCloud Storage Access also supports simple and fast resource elasticity as user demand changes. With the SmartCloud Storage Access solution, the storage resources will be displayed as unified resource pools with different service levels. Users no longer need to know the exact location of their files and there is no more need to configure the underlying storage subsystems manually. All storage resources are still well monitored and the cloud administrators can easily track the historical storage resource utilization. This publication is intended for anyone who wants to understand more about IBM SmartCloud Storage Access planning, implementation, configuration, and usage. This book is suitable for IBM clients, IBM Business Partners, IBM specialist sales representatives, and technical specialists.

Underwater Acoustic Modeling and Simulation, Fourth Edition continues to provide the most authoritative overview of currently available propagation, noise, reverberation, and sonar-performance models. This fourth edition of a bestseller discusses the fundamental processes involved in simulating the performance of underwater acoustic systems and emphasizes the importance of applying the proper modeling resources to simulate the behavior of sound in virtual ocean environments. New to the Fourth Edition Extensive new material that addresses recent advances in inverse techniques and marine-mammal protection Problem sets in each chapter Updated and expanded inventories of available models Designed for readers with an understanding of underwater acoustics but who are unfamiliar with the various aspects of modeling, the book includes sufficient mathematical derivations to demonstrate model formulations and provides guidelines for selecting and using the models. Examples of each type of model illustrate model formulations, model assumptions, and algorithm efficiency. Simulation case studies are also included to demonstrate practical applications. Providing a thorough source of information on modeling resources, this book examines the translation of our physical understanding of sound in the sea into mathematical models that simulate acoustic propagation, noise, and reverberation in the ocean. The text shows how these models are used to predict and diagnose the performance of complex sonar systems operating in the undersea environment.

Part of the Jones and Bartlett Learning International Series in Mathematics

Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.

Key Features of Essentials of Mathematical Statistics:

• End-of-section exercises range from computational to conceptual to theoretical.
• Many sections include a sub-section titled “Software Calculations” which gives detailed descriptions of how to perform the calculations discussed in the section using the software Minitab, R, Excel, and the TI-83/84 calculators.
• Provides a clear balance between conceptual understanding and theoretical understanding
• Exercises throughout vary in level of difficulty and scope.

"The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com; former lead analyst at Capital One This book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques. You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales. How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt. In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. Why early retirement decreases life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death, including one health insurance company. How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance? Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Experience learning made easy—and quickly teach yourself how to build your own database with Access 2013. With Step by Step, you set the pace—building and practicing the skills you need, just when you them! Includes downloadable practice files and a companion eBook. Build a database from scratch or ready templates Create easy-to-use data-entry forms Write queries to extract and manipulate data Design reports to summarize data in effective ways Import data from other databases and documents

Your hands-on, step-by-step guide to building applications with Microsoft SQL Server 2012 Teach yourself the programming fundamentals of SQL Server 2012—one step at a time. Ideal for beginning SQL Server database administrators and developers, this tutorial provides clear guidance and practical, learn-by-doing exercises for building database solutions that solve real-world business problems. Discover how to: Install and work with core components and tools Create tables and index structures Manipulate and retrieve data Secure, manage, back up, and recover databases Apply techniques for building high-performing applications Use clustering, database mirroring, and log shipping