Learn IT - Books tags numerical

Software Solutions for Engineers and Scientists

CRC Press, 2007

Our book was conceived as a programming toolkit and a problem-solving resource for professional engineers and scientists who take on the role of programmers. The book’s original idea was based on the fact that engineers and scientists often need to develop software to suit their particular needs, but hardly ever are they...

MATLAB(R) for Photomechanics- A Primer

Elsevier Limited, 2002

The term "photomechanics" describes a suite of experimental techniques which use optics (photo) for studying problems in mechanics. The field has been in existence for some time, but has always lagged behind other experimental and numerical techniques. The main reason for this is that the interpretation of data, which whilst providing...

Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

Springer, 2005

Machine learning is a rapidly maturing field that aims to provide practical methods for data discovery, categorization and modelling. The Sheffield Machine Learning Workshop, which was held 7–10 September 2004, brought together some of the leading international researchers in the field for a series of talks and posters that represented new...

Computer Algebra Recipes: An Advanced Guide to Scientific Modeling

Springer, 2007

A computer algebra system (CAS) not only has the number \crunching" and plotting capability of traditional computing languages such as Fortran and C, but also allows one to perform the symbolic manipulations and derivations required in most mathematically based science and engineering courses. To introduce students in these disciplines to...

Expert F# (Expert's Voice in .Net)

Apress, 2007

Expert F# is about practical programming in a beautiful language that puts the power and elegance of functional programming into the hands of .NET developers. In combination with .NET, F# achieves unrivaled levels of programmer productivity and program clarity. This books serves as

The authoritative guide to F# by the...

Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)

Springer, 2007

Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization.

The book is...

Resource Allocation in Multiuser Multicarrier Wireless Systems

Springer, 2007

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system. Due to the difficulty of the problem, most of the previous work in this area has focused on developing suboptimal heuristics without performance guarantees.

Resource Allocation in Multiuser...

CHAOS: A Program Collection for the PC

Springer, 1998

"... The program devoted to the Julia and Mandelbrot sets is particularly exciting. Seeing the beautiful sets appearing on the screen, manipulating parameters oneself and observing the effects is infinitely more enlightening than viewing a picture in a book. ... Each chapter also provides a guide to ideas which the graduate student might wish...

Quantum Monte Carlo: Origins, Development, Applications

Oxford University Press, 2007

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

Springer, 2008

The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and...

Elasticity with Mathematica ®: An Introduction to Continuum Mechanics and Linear Elasticity

Cambridge University Press, 2007

This book is intended for researchers, engineers and students in solid mechanics, materials science and physics who are interested in using the power of modern computing to solve a wide variety of problems of both practical and fundamental significance in elasticity. Extensive use of Mathematica in the book makes available to the reader a range of...

Mathematical Methods for Physics and Engineering: A Comprehensive Guide

Cambridge University Press, 2006

From reviews of previous editions: '...a great scientific textbook. It is a tour de force ... to write mathematical sections that are both complete and at an appropriate academic level. The authors have clearly succeeded in this challenge, making this a remarkable pedagogical book ... The choice of exercises is excellent and possibly the best...

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