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This book by a prominent mathematician is appropriate for a single-semester course in applied numerical analysis for computer science majors and other upper-level undergraduate and graduate students. Although it does not cover actual programming, it focuses on the applied topics most pertinent to science and engineering professionals.An extensive range of topics includes round-off and function evaluation, real zeros of a function, simultaneous linear equations and matrices, interpolation and roundoff estimation, integration, and ordinary differential equations. Additional subjects include optimization, least squares, orthogonal functions, Fourier series, Chebyshev approximation, and random processes. The author stresses the teaching of mathematical concepts through visual aids, and numerous diagrams and illustrations complement the
This book by a prominent mathematician is appropriate for a single-semester course in applied numerical analysis for computer science majors and other upper-level undergraduate and graduate students. Although it does not cover actual programming, it focuses on the applied topics most pertinent to
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal
Understanding calculus is vital to the creative applications of mathematics in numerous areas. This text focuses on the most widely used applications of mathematical methods, including those related to other important fields such as probability and statistics. The four-part treatment begins with
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology,
Designed to work as a first introduction to numerical analysis and numerical methods for undergraduate students, the authors have utilized their wide experience of teaching these subjects by incorporating the small details that a beginner might find difficult to understand. The book takes the
Functional analysis arose from traditional topics of calculus and integral and differential equations. This accessible text by an internationally renowned teacher and author starts with problems in numerical analysis and shows how they lead naturally to the concepts of functional analysis.Suitable
This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download,
Focusing on applied conversation analysis (CA), Applied Conversation Analysis: Social Interaction in Institutional Settings by Jessica N. Lester and Michelle O'Reilly offers practical insights and guidelines for CA scholars studying social interactions in institutional settings. Written in an
Widely regarded as the authoritative work on the principles and practice of applied behavior analysis (ABA), this indispensable volume is now in a revised and expanded second edition. Leading experts present evidence-based procedures for supporting positive behaviors and reducing problem behaviors
Digital signals occur in an increasing number of applications: in telephone communications; in radio, television, and stereo sound systems; and in spacecraft transmissions, to name just a few. This introductory text examines digital filtering, the processes of smoothing, predicting,
Discourse Analysis as Theory and Method is a systematic introduction to discourse analysis as a body of theories and methods for social research. It brings together three central approaches, Laclau and Mouffe′s discourse theory, critical discourse analysis and discursive psychology, in order to
The book provides an introduction to complex analysis for students with some familiarity with complex numbers from high school. Topics studied in the book include Julia sets and the Mandelbrot set, Dirichlet series and the prime number theorem, and the uniformization theorem for Riemann surfaces
The Applied Behavior Analysis Practice Guidebook: A Manual for Professional Practice gives behavioral practitioners pragmatic advice, direction and recommendations for being an effective clinician, consultant, supervisor and performance manager. The book adopts a how to do it perspective featuring
Superb non-technical introduction to game theory, primarily applied to social sciences. Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more
An Introduction to Applied Linguistics provides a complete, authoritative and up-to-date overview of the state of the field. Divided into three sections covering: a description of language and language use; essential areas of enquiry; and language skills and assessment, the third edition of this
Those working within the field of applied behavior analysis encounter potential ethical dilemmas on a daily basis. While some challenges can be anticipated and appropriately addressed before they become unmanageable, oftentimes behavior analysts are confronted with unforeseen and novel situations
Now in its second edition, this accessible guide and introduction to critical applied linguistics provides a clear overview of the problems, debates, and competing views in language education, literacy, discourse analysis, language in the workplace, translation, and other language-related domains
1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package
Develop a fundamental understanding of heat transfer analysis techniques as applied to earth based spacecraft with this practical guide. Providing an overview of basic heat transfer analysis fundamentals, contemporary space based thermal technologies and more, this is the perfect tool for graduate
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Na ve Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement
Introduction to Multimodal Analysis is a unique and accessible textbook that critically explains this ground-breaking approach to visual analysis. Now thoroughly revised and updated, the second edition reflects the most recent developments in theory and shifts in communication, outlining the tools