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A complete Pro Tools reference – from recording to mixing to mastering Pro Tools has long been the recording industry's leading solution for capturing, mixing, and outputting audio. While it was once a tool known and used exclusively by engineers in pro studios, it is now readily available to anyone wishing to create their own recording. This updated edition of Pro Tools All-in-One For Dummies covers the features you’ll encounter in both Pro Tools | First as well as the versions designed for next-level recording. It guides you through the very basics of recording, capturing both live and digital instruments, how to sweeten your sound in mixing, and how to tweak and output your final master. Now get ready to make some beautiful sounds! Get up to speed with recording basics Pick the Pro Tools version that works for you Record acoustic audio Get to know MIDI Discover how to set compression and EQ Sweeten your final product with mastering Create a final file you can stream online Assuming no past experience with audio recording, this book shares the basics of recording and how to capture both live and digital instruments using Pro Tools.

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One book that does the work of nine Knowing your way around Microsoft Office requires you to be part mathematician, part storyteller, and part graphic designer—with some scheduling wizard and database architect sprinkled in. So what do you do if these talents don't come naturally to you? Fear not! Office 2019 All-in-One For Dummies fills in the gaps and helps you create easy-to-read Word documents, smash numbers in Excel, tell your tale with PowerPoint, and keep it all organized with Outlook. With additional books covering Access, OneNote, and common Office tasks, this is the only Office book you need on your shelf. Get insight into tools common to all Office applications Find full coverage of Word, Excel, PowerPoint, Outlook, and Access Benefit from updated information based on the newest software release Discover the tricks Office pros use to enhance efficiency If you need to make sense of Office 2019and don’t have time to waste, this is the all-in-one reference you’ll want to keep close by!

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Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE) applications. This book describes an easy-to-use, general purpose, and time-tested PDE solver developed by the author that can be applied to a wide variety of science and engineering problems. The equations studied include many time-dependent, steady-state and eigenvalue applications such as diffusion, heat conduction and convection, image processing, math finance, fluid flow, and elasticity and quantum mechanics, in one, two, and three space dimensions. The author begins with some simple «0D» problems that give the reader an opportunity to become familiar with PDE2D before proceeding to more difficult problems. The book ends with the solution of a very difficult nonlinear problem, which requires a moving adaptive grid because the solution has sharp, moving peaks. This important book: Describes a finite-element program, PDE2D, developed by the author over the course of 40 years Derives the ordinary and partial differential equations, with appropriate initial and boundary conditions, for a wide variety of applications Offers free access to the Windows version of the PDE2D software through the author’s website at www.pde2d.com Offers free access to the Linux and MacOSX versions of the PDE2D software also, for instructors who adopt the book for their course and contact the author at www.pde2d.com Written for graduate applied mathematics or computational science classes, Solving Partial Differential Equation Applications with PDE2D offers students the opportunity to actually solve interesting engineering and scientific applications using the accessible PDE2D.

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Spend less time learning and more time recording Logic Pro X offers Mac users the tools and power they need to create recordings ready to share with the world. This book provides the know-how for navigating the interface, tweaking the settings, picking the sounds, and all the other tech tasks that get in the way of capturing the perfect take. Written by a Logic Pro X trainer who’s used the software to further his own music career, Logic Pro X For Dummies cuts back on the time needed to learn the software and allows for more time making amazing recordings. Record live sound sources or built-in virtual instruments Arrange your tracks to edit, mix, and master Discover tips to speed the process and record on an iPad Make sense of the latest software updates A favorite among Logic Pro X beginners, this book is updated to reflect the ongoing changes added to enhance Logic Pro X’s recording power.

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A must-have reference for financial advisors In step-by-step detail, Success as a Financial Advisor For Dummies covers how a current or would-be financial advisor can maximize their professional success through a series of behaviors, activities, and specific client-centric value propositions. In a time when federal regulators are changing the landscape on the standard of care that financial services clients should expect from their advisors, this book affords professionals insight on how they can be evolving their practices to align with the regulatory and technological trends currently underway. Inside, you’ll find out how a financial advisor can be a true fiduciary, how to compete against the growing field of robo-advisors, and how the passive investing trend is actually all about being an active investor. Additionally, you’ll discover time-tested advice on building and focusing on client relationships, having a top advisor mindset, and much more. Master the seven core competencies Attract and win new business Pick the right clients Benchmark your performance Start your own firm Brimming with practical expert advice, Success as a Financial Advisor For Dummies is a priceless success tool for any wannabe or experienced financial advisor.

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A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.

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Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods: Separation Stochastic separation Introducing deliberate weaknesses Segmentation Self-reinforcement Inversion Reducing the rate of accumulation of damage Permutation Substitution Limiting the space and time exposure Comparative reliability models The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost. Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.

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A photography class—in a book! Your Canon EOS Rebel T7/1400D provides enough camera power to take the pro-style shots you've dreamed of shooting—and this book shows you how. Canon EOS Rebel T7/1400D For Dummies bridges the gap between taking quick shots in auto mode and taking charge of the settings that offer full control of your pictures' focus, color, and light balance. Take a peek inside to discover all the expert tips and tricks to take brag-worthy portraits, action shots, and close-ups—in a flash. No matter your subject, you’ll get all the know-how and instruction you need to get the picture-perfect shot every time. Get started with automatic and creative modes Take full control of exposure to achieve better results Understand the settings that control light and color Follow steps on properly using flash Even if you’ve never picked up a DSLR camera, this friendly guide makes it fast and easy to unlock all your powerful Canon has to offer!

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Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests. Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book: Offers beginning-of-chapter examples as well as end-of-chapter technical arguments and proofs Contains many new results on long memory processes which have not appeared in previous and existing textbooks Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory Contains 25 illustrative figures as well as lists of notations and acronyms Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis.

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Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.

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