Learn IT - Books tags linear

Surfing the Edge of Chaos: The Laws of Nature and the New Laws of Business

Crown, 2000

Every few years a book changes the way people think about a field. In psychology there is Daniel Goleman's Emotional Intelligence. In science, James Gleick's Chaos. In economics and finance, Burton Malkiel's A Random Walk Down Wall Street. And in business there is now Surfing the Edge of Chaos by Richard...

A Handbook of Statistical Analyses Using R, Second Edition

CRC Press, 2009

A Proven Guide for Easily Using R to Effectively Analyze Data

Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical...

Schaum's Outline of Abstract Algebra (Schaum's Easy Outlines)

McGraw-Hill, 2003

This long-awaited revision provides a concise introduction to topics in abstract algebra, taking full account of the major advances and developments that have occurred over the last half-century in the theoretical and conceptual aspects of the discipline, particularly in the areas of groups and fields.

Key features include:

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Dynamics of Ice Sheets and Glaciers (Advances in Geophysical and Environmental Mechanics and Mathematics)

Springer, 2009

Dynamics of Ice Sheets and Glaciers presents an introduction to the dynamics and thermodynamics of flowing ice masses on Earth. Based on an outline of general continuum mechanics, the different initial-boundary-value problems for the flow of ice sheets, ice shelves, ice caps and glaciers are systematically derived. Special emphasis is put on...

Lung Mechanics: An Inverse Modeling Approach

Cambridge University Press, 2009

With mathematical and computational models furthering our understanding of lung mechanics, function and disease, this book provides an all-inclusive introduction to the topic from a quantitative standpoint. Focusing on inverse modeling, the reader is guided through the theory in a logical progression, from the simplest models up to state-of-the-art...

Non-linear Modeling and Analysis of Solids and Structures

Cambridge University Press, 2009

This book presents a theoretical treatment of nonlinear behavior of solids and structures in such a way that it is suitable for numerical computation, typically using the Finite Element Method. Starting out from elementary concepts, the author systematically uses the principle of virtual work, initially illustrated by truss structures, to give a...

Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)

Springer, 2009

This textbook reveals the workings of numerous database systems, enabling readers to develop complex database applications. Students will gain hands-on experience by following the exercises. The theory is complemented by detailed examination of specific applications from a broad range of areas. The text assumes only basic discrete mathematics,...

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

Cambridge University Press, 2009

Machine learning is a major subfield in computational intelligence (also called artificial intelligence). Its main objective is to use computational methods to extract information from data. Neural network methods, generally regarded as forming the first wave of breakthrough in machine learning, became popular in the late 1980s, while kernel...

Real Analysis and Applications: Theory in Practice (Undergraduate Texts in Mathematics)

Springer, 2009

This new approach to real analysis stresses the use of the subject in applications, by showing how the principles and theory of real analysis can be applied in a variety of settings in subjects ranging from Fourier series and polynomial approximation to discrete dynamical systems and nonlinear optimization. Users will be prepared for more...

3D Computer Vision: Efficient Methods and Applications (X.media.publishing)

Springer, 2009

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...

The Structure and Properties of Color Spaces and the Representation of Color Images

Morgan and Claypool Publishers, 2009

This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered...

Pyomo - Optimization Modeling in Python (Springer Optimization and Its Applications, Vol. 67)

Springer, 2012

This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are...

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