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This book covers the topics: 1. Use Positive Rational Numbers, 2. Integers and Rational Numbers, 3. Numeric and Algebraic Expressions, 4. Represent and Solve Equations and Inequalities, 5. Understand and Use Ratio and Rate, 6. Understand and Use Percent, 7. Solve Area, Surface Area, and Volume Problems, 8. Display, Describe, and Summarize Data. Key: Numbers and Computation, Algebra and Functions, Proportionality, Geometry, Data Analysis and Probability

ISBN: 9780328908776

Features:

envisionMATH® 2.0 Topics 9-16: Volume 2

by Scott Foresman - Addison Wesley

Daily Problem-based Interactive Learning followed by Visual Learning strategies deepen conceptual understanding by making meaningful connections for students and delivering strong, sequential visual/verbal connections through the Visual Learning Bridge in every lesson. Ongoing Diagnosis and Intervention and daily Data-Driven Differentiation ensure that enVisionMATH gives every student the opportunity to succeed.

ISBN: 9780328767304

Features:

finite element methods: fifty years of the Courant element (Lecture Notes in Pure and Applied Mathematics)

by P. Neittaanmäki M. Křížek R. Stenberg

These proceedings originated from a conference commemorating the 50th anniversary of the publication of Richard Courant's seminal paper, Variational Methods for Problems of Equilibrium and Vibration. These papers address fundamental questions in numerical analysis and the special problems that occur in applying the finite element method to various

ISBN: 9781040213476

Features: Contains images

generatingfunctionology: Third Edition

by Herbert S. Wilf

Generating functions, one of the most important tools in enumerative combinatorics, are a bridge between discrete mathematics and continuous analysis. Generating functions have numerous applications in mathematics, especially in - Combinatorics - Probability Theory - Statistics - Theory of Markov Chains - Number Theory One of the most important and relevant recent applications of combinatorics lies in the development of Internet search engines whose incredible capabilities dazzle even the mathematically trained user.

ISBN: 9781040198629

Features: Contains images

geoENV VII – Geostatistics for Environmental Applications

by C. D. Lloyd Peter M. Atkinson

This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK, in September 2008. This book presents the state-of-the-art in geostatistics for the environmental sciences. It includes a wide range of methodological advances and applications. It offers insight and guidance for researchers, professionals, graduate students and others seeking information on the latest perspectives in the field. The rich body of applications will enable those new to geostatistics to assess the utility of the methods for their own applications. The book includes 35 chapters on topics as diverse as methodological developments, applications in the soil sciences, climatology, pollution, health, wildlife mapping, fisheries and remote sensing, amongst other areas. With its focus on environmental applications of geostatistics, rather than the more traditional geostatistical remit of mining and petroleum exploration, this book is part of a series that presents an invaluable resource. This book will be a first port of call for those who wish to apply geostatistical methods in the environmental sciences.

ISBN: 9789048123223

Features: Contains images

ggplot2

by Hadley Wickham

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e. g. , importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

ISBN: 9783319242774

Features: Contains images

i-Smooth Analysis: Theory and Applications

by A. V. Kim

The edition introduces a new class of invariant derivatives and shows their relationships with other derivatives, such as the Sobolev generalized derivative and the generalized derivative of the distribution theory. This is a new direction in mathematics. i-Smooth analysis is the branch of functional analysis that considers the theory and applications of the invariant derivatives of functions and functionals. The important direction of i-smooth analysis is the investigation of the relation of invariant derivatives with the Sobolev generalized derivative and the generalized derivative of distribution theory. Until now, i-smooth analysis has been developed mainly to apply to the theory of functional differential equations, and the goal of this book is to present i-smooth analysis as a branch of functional analysis. The notion of the invariant derivative (i-derivative) of nonlinear functionals has been introduced in mathematics, and this in turn developed the corresponding i-smooth calculus of functionals and showed that for linear continuous functionals the invariant derivative coincides with the generalized derivative of the distribution theory. This book intends to introduce this theory to the general mathematics, engineering, and physicist communities.

ISBN: 9781118998540

Features: Contains images

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