The data and information in this booklet have been collected for use in the Materials Courses in
Part I of the Engineering Tripos (as well as in Part II, and the Manufacturing Engineering Tripos). Numerical data are presented in tabulated and graphical form, and a summary of useful formulae is included. A list of sources from which the data have been prepared is given below.
The first section introduces the basic concepts of number systems, storage of numerical data, and machine arithmetic. Chapters on the Intel math unit architecture, data conversions, and the details of math unit programming establish a framework for developing routines in engineering and scientific code. The second part, entitled Application Development, covers the implementation of a C++ program and flowcharting. A tutorial on Windows programming supplies skills that allow readers to create professional quality programs.
Chapter 3 - Numerical data. After you have read and studied this chapter, you should be able to: Select proper types for numerical data; write arithmetic expressions in Java; evaluate arithmetic expressions using the precedence rules; describe how the memory allocation works for objects and primitive data values; write mathematical expressions, using methods in the Math class; generate pseudo random numbers.
Introduction to java programming: Chapter 2 - Primitive Data Types and Operation's Objectives is to write Java programs to perform simple calculations; use identifiers to name variables, constants, methods, and classes; use variables to store data.
(BQ) Part 2 book "Better business decisions from data - Statistical analysis for professional success" has contents: Relationships with numerical data, relationships with descriptive data, multivariate data, forecasting from known distributions, control charts,...and other contents.
(BQ) Part 1 book "Statistics for business - Decision making and analysis" has contents: Describing categorical data, describing numerical data, association between categorical variables, conditional probability, random variables,...and other contents.
Java and XML Data Binding Brett McLaughlin
First Edition May 2002 ISBN: 0-596-00278-5, 214 pages
Table of Contents Index Full Description Reviews Reader reviews Errata
This new title provides an in-depth technical look at XML Data Binding. The book offers complete documentation of all features in both the Sun Microsystems JAXB API and popular open source alternative implementations (Enhydra Zeus, Exolabs Castor and Quick).
Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music.
In English text files, common words (e.g., "is", "are", "the") or similar patterns of character strings (e.g., lze\ lth\ iing'1} are usually used repeatedly. It is also observed that the characters in an English text occur in a well-documented distribution, with letter "e" and "space" being the most popular. 2. In numeric data files, often we observe runs of similar numbers or predictable interdependency amongst the numbers. 3. The neighboring pixels in a typical image are highly correlated to each other, with the pixels in a smooth region of an image having similar values. 4.
A survey conducted several years ago within the local atmospheric science
community had indicated the need for a comprehensive reference book of atmospheric
chemistry and physics. The present compilation of data has been prepared
in an attempt to fi ll this need.
While the subject, as a whole or in parts, has received an adequate treatment in
textbooks, encyclopedias, and in other overviews, these publications do not generally
present numerical data but discuss important observations by way of illustrations.
Using the increasingly popular C language, this book teaches data structures from their theoretical conception through to their concrete realizations. It emphasizes structured design and programming techniques, and contains numerous debugged programming samples. For CS2 course in advanced programming or data structures in C.
A numerical model based on the 2D shallow water equations was developed using the Finite Volume Method. The model was applied to the study of long wave propagation and runup on a conical island. The simulated results by the model were compared with published experimental data and analyzed to understand more about the interaction processes between the long waves and conical island in terms of water profile and wave runup height.
As a premise to this textbook on Numerical ecology, the authors wish to state their
opinion concerning the role of data analysis in ecology. In the above quotation, Goethe
cautioned readers against the use of mathematics in the natural sciences. In his
opinion, mathematics may obscure, under an often esoteric language, the natural
phenomena that scientists are trying to elucidate. Unfortunately, there are many
examples in the ecological literature where the use of mathematics unintentionally lent
support to Goethe’s thesis.
Paraphrase generation is an important task that has received a great deal of interest recently. Proposed data-driven solutions to the problem have ranged from simple approaches that make minimal use of NLP tools to more complex approaches that rely on numerous language-dependent resources. Despite all of the attention, there have been very few direct empirical evaluations comparing the merits of the different approaches.
n these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations. From a point of view of data analysis, the concepts and techniques introduced here are of general interest and are, at best, employed by computational aid. Consequently, an exemplary implementation of the presented techniques using the Python programming language is provided.
Sử dụng thao tác dữ liệu Numerical Toán Trước đó trong bài học này, chúng tôi giới thiệu bạn để người điều khiển số, trong đó thực hiện các phép tính số học đơn giản trong cách nói của bạn. Toán lớp của Flash cho phép bạn truy cập vào một loạt các phương pháp hữu ích cho thao tác thêm số
One of the major functions of the physical layer is to move data in the form of electromagnetic signals across a transmission medium. Whether you are collecting numerical statistics from another computer, sending animated pictures from a design workstation, or causing a bell to ring at a distant control center, you are working with the transmission of data across network connections. Chapter 3 discusses the relationship between data, which are created by a device, and electromagnetic signals, which are transmitted over a medium.
(BQ) Part 1 book "Fundamental numerical methods and data analys" has contents: A note added for the internet edition, a further note for the internet edition, introduction and fundamental concepts, the numerical methods for linear equations and matrices, polynomial approximation, interpolation, and orthogonal polynomials.
(BQ) Part 2 book "Fundamental numerical methods and data analys" has contents: Numerical solution of differential and integral equations; least squares, fourier analysis, and related approximation norms; probability theory and statistics; sampling distributions of moments, statistical tests, and procedures.
(BQ) Part 1 book "Statistics - The art and science of learning from data" has contents: Statistics - The art and science of learning from data; exploring data with graphs and numerical summaries; gathering data; probability in our daily lives; probability distributions, probability distributions,...and other contents.