Numerical Recipes 3rd Edition

The Art of Scientific Computing

Author: William H. Press

Publisher: Cambridge University Press

ISBN:

Category: Computers

Page: 1235

View: 350

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.

Numerical Recipes with Source Code CD-ROM 3rd Edition

The Art of Scientific Computing

Author: William H. Press

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 1235

View: 929

This book/CD bundle of the greatly expanded third edition of Numerical Recipes now has wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The informal, easy-to-read style that made earlier editions so popular is kept throughout. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support or further licence information please visit www.nr.com.

Numerical Recipes in FORTRAN 77: Volume 1, Volume 1 of Fortran Numerical Recipes

The Art of Scientific Computing

Author: William H. Press

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 1010

View: 537

As with Numerical Recipes in C, the FORTRAN edition has been greatly revised to make this edition the most up to date handbook for those working with FORTRAN. Between both editions of Numerical Recipes, over 300,000 copies have been sold.

Numerical Recipes 3rd Edition

The Art of Scientific Computing

Author: William H. Press

Publisher: Cambridge University Press

ISBN:

Category: Computers

Page: 1235

View: 154

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.

Focused Beam Methods

Measuring Microwave Materials in Free Space

Author: John W. Schultz

Publisher: John Schultz

ISBN:

Category: Technology & Engineering

Page: 142

View: 992

Determining the intrinsic microwave properties of materials is important for a variety of applications ranging from antenna and electronic circuit design to remote sensing to electromagnetic interference mitigation. A number of methods exist for characterizing intrinsic properties of materials at microwave frequencies, including transmission lines, resonant cavities, and impedance analysis. The use of free-space measurement methods has become commonplace among microwave material characterization laboratories due to its ease of use and reasonable accuracy. While some free-space facilities exist that can characterize down to 500 MHz, the method is most useful for characterizing materials from 2 GHz through millimeter waves. This book is designed to acquaint engineers and scientists with the theory and practice of using microwave focused beam systems for free-space characterization of materials.

Acoustics-A Textbook for Engineers and Physicists

Volume I: Fundamentals

Author: Jerry H. Ginsberg

Publisher: Springer

ISBN:

Category: Technology & Engineering

Page: 576

View: 499

This graduate and advanced undergraduate textbook systematically addresses all core topics in physical and engineering acoustics. Written by a well-known textbook author with 39 years of experience performing research, teaching, and mentoring in the field, it is specially designed to provide maximum support for learning. Presentation begins from a foundation that does not assume prior study of acoustics and advanced mathematics. Derivations are rigorous, thoroughly explained, and often innovative. Important concepts are discussed for their physical implications and their implementation. Many of the examples are mini case studies that address systems students will find to be interesting and motivating for continued study. Step-by-step explanations accompany example solutions. They address both the significance of the example and the strategy for approaching it. Wherever techniques arise that might be unfamiliar to the reader, they are explained in full. Volume I contains 186 homework exercises, accompanied by a detailed solutions manual for instructors. This text, along with its companion, Volume II: Applications, provides a knowledge base that will enable the reader to begin undertaking research and to work in core areas of acoustics.

Option Pricing and Estimation of Financial Models with R

Author: Stefano M. Iacus

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 472

View: 371

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Measurement and Data Analysis for Engineering and Science, Third Edition

Author: Patrick F. Dunn

Publisher: CRC Press

ISBN:

Category: Technology & Engineering

Page: 632

View: 452

The third edition of Measurement and Data Analysis for Engineering and Science provides an up-to-date approach to presenting the methods of experimentation in science and engineering. Widely adopted by colleges and universities within the U.S. and abroad, this edition has been developed as a modular work to make it more adaptable to different approaches from various schools. This text details current methods and highlights the six fundamental tools required for implementation: planning an experiment, identifying measurement system components, assessing measurement system component performance, setting signal sampling conditions, analyzing experimental results, and reporting experimental results. What’s New in the Third Edition: This latest edition includes a new chapter order that presents a logical sequence of topics in experimentation, from the planning of an experiment to the reporting of the experimental results. It adds a new chapter on sensors and transducers that describes approximately 50 different sensors commonly used in engineering, presents uncertainty analysis in two separate chapters, and provides a problem topic summary in each chapter. New topics include smart measurement systems, focusing on the Arduino® microcontroller and its use in the wireless transmission of data, and MATLAB® and Simulink® programming for microcontrollers. Further topic additions are on the rejection of data outliers, light radiation, calibrations of sensors, comparison of first-order sensor responses, the voltage divider, determining an appropriate sample period, and planning a successful experiment. Measurement and Data Analysis for Engineering and Science also contains more than 100 solved example problems, over 400 homework problems, and provides over 75 MATLAB® Sidebars with accompanying MATLAB M-files, Arduino codes, and data files available for download.

Frontiers of Modern Asset Allocation

Author: Paul D. Kaplan

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 416

View: 763

Innovative approaches to putting asset allocation intopractice Building on more than 15 years of asset-allocation research,Paul D. Kaplan, who led the development of the methodologies behindthe Morningstar Rating(TM) and the Morningstar Style Box(TM),tackles key challenges investor professionals face when puttingasset-allocation theory into practice. This book addresses commonissues such as: How should asset classes be defined? Should equities be divided into asset classes based oninvestment style, geography, or other factors? Should asset classes be represented by market-cap-weightedindexes or should other principles, such as fundamental weights, beused? How do actively managed funds fit into asset-class mixes? Kaplan also interviews industry luminaries who have greatlyinfluenced the evolution of asset allocation, including HarryMarkowitz, Roger Ibbotson, and the late Benoit Mandelbrot.Throughout the book, Kaplan explains allocation theory, creates newstrategies, and corrects common misconceptions, offering originalinsights and analysis. He includes three appendices that put theoryinto action with technical details for new asset-allocationframeworks, including the next generation of portfolio constructiontools, which Kaplan dubs "Markowitz 2.0."