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A Problem Book in Real Analysis (Problem Books in Mathematics)
A Problem Book in Real Analysis (Problem Books in Mathematics)

Today, nearly every undergraduate mathematics program requires at least one semester of real analysis. Often, students consider this course to be the most challenging or even intimidating of all their mathematics major requirements. The primary goal of A Problem Book in Real Analysis is to alleviate those concerns by systematically solving...

C# Programming: From Problem Analysis to Program Design
C# Programming: From Problem Analysis to Program Design
C# Programming: From Problem Analysis to Program Design requires no previous introduction to programming and only a mathematical background of high school algebra. The book uses C# as the programming language for software development; however, the basic programming concepts presented can be applied to a number of other languages....
Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL
Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL

A unique guide to using both modeling and simulation in digital systems design

Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL introduces the application...

Electronic Principles.
Electronic Principles.

This seventh edition of Malvino's classic "Electronic Principles" offers students a definitive overview of electronic circuits and devices. Expert knowledge of electronic devices is presented in a stimulating, clearly written, conversational style. The new, streamlined book design is full-color throughout, with ample, clear...

Data Fusion: Concepts and Ideas
Data Fusion: Concepts and Ideas

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion.
It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion:
An Introduction" which was originally published by Springer-Verlag in 2007.
The main changes in
...

Principles of Econometrics
Principles of Econometrics
Principles of Econometrics, 4th edition, is an introductory book for undergraduate students in economics and finance, as well as for first-year graduate students in economics, finance, accounting, agricultural economics, marketing, public policy, sociology, law, and political science. It is assumed that students have taken courses in...
Concise Computer Mathematics: Tutorials on Theory and Problems (SpringerBriefs in Computer Science)
Concise Computer Mathematics: Tutorials on Theory and Problems (SpringerBriefs in Computer Science)

Adapted from a modular undergraduate course on computational mathematics, Concise Computer Mathematics delivers an easily accessible, self-contained introduction to the basic notions of mathematics necessary for a computer science degree. The text reflects the need to quickly introduce students from a variety of educational backgrounds to a...

Foundations of Robotics: Analysis and Control
Foundations of Robotics: Analysis and Control

Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators. It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively clear way, the necessary background in kinetics, linear algebra, and control theory....

Basic College Mathematics
Basic College Mathematics

Basic College Mathematics offers a refreshing approach to the traditional content of the course. Presented in worktext format, Basic College Mathematics focuses on basic number skills: operations and problem-solving with whole numbers, fractions, and decimals. Other topics include geometry, measurement, ratios, proportions,...

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Polynomial optimization, as its name suggests, is used to optimize a generic multivariate polynomial function, subject to some suitable polynomial equality and/or inequality constraints. Such problem formulation dates back to the nineteenth century when the relationship between nonnegative polynomials and sum of squares (SOS) was...
Fundamentals of Logic Design
Fundamentals of Logic Design

Updated with modern coverage, a streamlined presentation, and excellent companion software, this seventh edition of FUNDAMENTALS OF LOGIC DESIGN achieves yet again an unmatched balance between theory and application. Authors Charles H. Roth, Jr. and Larry L. Kinney carefully present the theory that is necessary for understanding the...

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

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