Learn IT - Books tags equations

Java Closures and Lambda

Apress, 2015

This book is the culmination of many brash years and hard lessons. The story starts all the way back when I migrated from C++ into perl. The perl programming language was amazingly powerful compared to the low-level manipulations and bookkeeping of C++. (The fact that it was “slow” never bothered me – I would rather write...

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...

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks

Apress, 2018

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...

Topics in Geometry, Coding Theory and Cryptography (Algebra and Applications)

Springer, 2006

The purpose of this reviewarticle is to serve as an introduction and at the same time, as an invitation to the theory of towers of function fields over finite fields. More specifically, we treat here the case of explicit towers; i.e., towers where the function fields are given by explicit equations. The asymptotic behaviour of the genus and of the...

Circuit Analysis I with MATLAB Computing and Simulink/SimPowerSystems Modeling

Orchard Publications, 2009

This text is an introduction to the basic principles of electrical engineering and covers DC and AC circuit analysis and Transients. It is intended for all engineering majors and presumes knowledge of first year differential and integral calculus and physics. The last two chapters include step-by-step procedures for the solutions of simple...

Linear Systems Control: Deterministic and Stochastic Methods

Springer, 2008

Control engineering is a multidisciplinary subject which is critical to the operation of modern technology and which is nearly invisible in daily life. From atomic force microscopes, through PC disk drives and drive-by-wire engine controls to Boeing 747’s and to space shuttles, multivariable controls underlie many of a the devices which are...

An Introduction to Partial Differential Equations with MATLAB (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science)

CRC Press, 2013

An Introduction to Partial Differential Equations with MATLAB^®, Second Edition illustrates the usefulness of PDEs through numerous applications and helps students appreciate the beauty of the underlying mathematics. Updated throughout, this second edition of a bestseller shows students how PDEs can...

Introduction to Linear Algebra, Third Edition

Cambridge University Press, 2003

This informally written text provides students with a clear introduction into the subject of linear algebra. Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying...

Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization

MIT Press, 2000

Optimizing compilers have a fundamental problem. No matter how powerful their optimizations
are, they are no substitute for good application algorithms. Consider the case of
sorting. For sufficiently large data sets, a merge sort algorithm compiled with a less powerful
optimizer will always out-perform a selection sort algorithm...

C++ Toolkit for Engineers and Scientists

Springer, 1999

This concise guide covers the fundamental aspects of the numerical analysis, basing upon it the construction of its routines for solving nonlinear equations, linear and nonlinear systems of equations, and eigenvalue problems. Focusing on software development, this book emphasizes software tools, OOP techniques for handling vectors, polynomials,...

Essentials of Computational Chemistry: Theories and Models

John Wiley & Sons, 2004

Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject. Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas. The book carefully leads the reader thorough the necessary equations providing information explanations...

Geometric Fundamentals of Robotics (Monographs in Computer Science)

Springer, 2004

Geometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the...

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