Learn IT - Books tags undergraduate

Dynamic Web Programming and HTML5

Routledge, 2012

With organizations and individuals increasingly dependent on the Web, the need for competent, well-trained Web developers and maintainers is growing. Helping readers master Web development, Dynamic Web Programming and HTML5 covers specific Web programming languages, APIs, and coding techniques and provides an...

The Art of Modeling in Science and Engineering with Mathematica

CRC Press, 1999

Modeling is practiced in engineering and all physical sciences. Many specialized texts exist - written at a high level - that cover this subject. However, students and even professionals often experience difficulties in setting up and solving even the simplest of models. This can be attributed to three difficulties: the proper choice of model,...

Adaptive Filtering (The Springer International Series in Engineering and Computer Science)

Springer, 2012

The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the...

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

Cambridge University Press, 2007

How can linkages, pieces of paper, and polyhedra be folded? The authors present hundreds of results and over 60 unsolved 'open problems' in this comprehensive look at the mathematics of folding, with an emphasis on algorithmic or computational aspects. Folding and unfolding problems have been implicit since Albrecht Dürer in the...

Migrating from Pascal to C++ (Undergraduate Texts in Computer Science)

Springer, 2013

Many students and programmers familiar with Pascal are now looking to upgrade their skills to a well-structured object-oriented programming language such as C++. This textbook provides such an "upgrade path" by presenting a course on C++ in the spirit of structured programming. Both authors teach this material to a wide variety of...

Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics, Vol. 10)

Springer, 2006

This is the first graduate textbook on the algorithmic aspects of real algebraic geometry. The main ideas and techniques presented form a coherent and rich body of knowledge. Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical...

Linear Control System Analysis and Design with MATLAB® (Automation and Control Engineering)

CRC Press, 2013

Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Sixth Edition provides an intensive overview of modern control theory and conventional control system design using in-depth explanations, diagrams, calculations, and tables.

Keeping mathematics...

Automatic Control of Atmospheric and Space Flight Vehicles: Design and Analysis with MATLAB® and Simulink® (Control Engineering)

Birkhauser, 2011

The main purpose of writing this book is to present a unified approach for automatic control of atmospheric and space flight vehicles. Such an outlook has become more necessary nowthan ever,with the advent of aerospace vehicleswhose singlemission covers operation as aircraft, rocket, and spacecraft at various instants....

Digital Image Processing: An Algorithmic Approach with MATLAB (Chapman & Hall/CRC Textbooks in Computing)

CRC Press, 2009

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB^® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB^®, without bogging down...

Mathematical Statistics with Resampling and R

John Wiley & Sons, 2011

This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

John Wiley & Sons, 2011

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...

An Introduction to Analysis of Financial Data with R

John Wiley & Sons, 2012

A complete set of statistical tools for beginning financial analysts from a leading authority

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and...

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