An Introduction to Error Analysis

Introduction to Numerical Analysis  eBooks & eLearning

Posted by AvaxGenius at June 18, 2024
Introduction to Numerical Analysis

Introduction to Numerical Analysis by J. Stoer , R. Bulirsch
English | PDF | 1980 | 618 Pages | ISBN : N/A | 54 MB

This book is based on a one-year introductory course on numerical analysis given by the authors at several universities in Germany and the United States. The authors concentrate on methods which can be worked out on a digital computer. For important topics, algorithmic descriptions (given more or less formally in ALGOL 60), as well as thorough but concise treatments of their theoretical founda­ tions, are provided. Where several methods for solving a problem are presented, comparisons of their applicability and limitations are offered. Each comparison is based on operation counts, theoretical properties such as convergence rates, and, more importantly, the intrinsic numerical properties that account for the reliability or unreliability of an algorithm. Within this context, the introductory chapter on error analysis plays a special role because it precisely describes basic concepts, such as the numerical stability of algorithms, that are indispensable in the thorough treatment of numerical questions. The remaining seven chapters are devoted to describing numerical methods in various contexts. In addition to covering standard topics, these chapters encom­ pass some special subjects not usually found in introductions to numerical analysis. Chapter 2, which discusses interpolation, gives an account of modem fast Fourier transform methods. In Chapter 3, extrapolation techniques for spe~d­ ing up the convergence of discretization methods in connection with Romberg integration are explained at length.

Introduction to Numerical Analysis  eBooks & eLearning

Posted by AvaxGenius at June 18, 2024
Introduction to Numerical Analysis

Introduction to Numerical Analysis by J. Stoer , R. Bulirsch
English | PDF | 1980 | 618 Pages | ISBN : N/A | 54 MB

This book is based on a one-year introductory course on numerical analysis given by the authors at several universities in Germany and the United States. The authors concentrate on methods which can be worked out on a digital computer. For important topics, algorithmic descriptions (given more or less formally in ALGOL 60), as well as thorough but concise treatments of their theoretical founda­ tions, are provided. Where several methods for solving a problem are presented, comparisons of their applicability and limitations are offered. Each comparison is based on operation counts, theoretical properties such as convergence rates, and, more importantly, the intrinsic numerical properties that account for the reliability or unreliability of an algorithm. Within this context, the introductory chapter on error analysis plays a special role because it precisely describes basic concepts, such as the numerical stability of algorithms, that are indispensable in the thorough treatment of numerical questions. The remaining seven chapters are devoted to describing numerical methods in various contexts. In addition to covering standard topics, these chapters encom­ pass some special subjects not usually found in introductions to numerical analysis. Chapter 2, which discusses interpolation, gives an account of modem fast Fourier transform methods. In Chapter 3, extrapolation techniques for spe~d­ ing up the convergence of discretization methods in connection with Romberg integration are explained at length.

Introduction to Numerical Analysis  eBooks & eLearning

Posted by AvaxGenius at June 18, 2024
Introduction to Numerical Analysis

Introduction to Numerical Analysis by J. Stoer , R. Bulirsch
English | PDF | 1980 | 618 Pages | ISBN : N/A | 54 MB

This book is based on a one-year introductory course on numerical analysis given by the authors at several universities in Germany and the United States. The authors concentrate on methods which can be worked out on a digital computer. For important topics, algorithmic descriptions (given more or less formally in ALGOL 60), as well as thorough but concise treatments of their theoretical founda­ tions, are provided. Where several methods for solving a problem are presented, comparisons of their applicability and limitations are offered. Each comparison is based on operation counts, theoretical properties such as convergence rates, and, more importantly, the intrinsic numerical properties that account for the reliability or unreliability of an algorithm. Within this context, the introductory chapter on error analysis plays a special role because it precisely describes basic concepts, such as the numerical stability of algorithms, that are indispensable in the thorough treatment of numerical questions. The remaining seven chapters are devoted to describing numerical methods in various contexts. In addition to covering standard topics, these chapters encom­ pass some special subjects not usually found in introductions to numerical analysis. Chapter 2, which discusses interpolation, gives an account of modem fast Fourier transform methods. In Chapter 3, extrapolation techniques for spe~d­ ing up the convergence of discretization methods in connection with Romberg integration are explained at length.

An Introduction To Online Quantitative Market Research  eBooks & eLearning

Posted by ELK1nG at Aug. 1, 2022
An Introduction To Online Quantitative Market Research

An Introduction To Online Quantitative Market Research
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.37 GB | Duration: 10h 1m

Learn how to effectively conceptualise, design, execute and apply quantitative online research like a PRO!
Measurement Analysis: An Introduction to the Statistical Analysis of Laboratory Data in Physics, Chemistry and the Life Science

Mario Caria, "Measurement Analysis: An Introduction to the Statistical Analysis of Laboratory Data in Physics, Chemistry and the Life Sciences"
2001 | pages: 235 | ISBN: 1860942318 | PDF | 7,0 mb

A Theoretical Introduction to Numerical Analysis  eBooks & eLearning

Posted by insetes at Nov. 12, 2019
A Theoretical Introduction to Numerical Analysis

A Theoretical Introduction to Numerical Analysis By Victor S. Ryaben'kii, Semyon V. Tsynkov
2006 | 553 Pages | ISBN: 1584886072 | PDF | 9 MB

Introduction to Interval Analysis  eBooks & eLearning

Posted by DZ123 at Sept. 9, 2017
Introduction to Interval Analysis

Ramon E. Moore, R. Baker Kearfott, Michael J. Cloud, "Introduction to Interval Analysis"
English | 2009 | ISBN: 0898716691 | PDF | pages: 235 | 1.0 mb

Stochastic Finance: An Introduction in Discrete Time, 4 edition  eBooks & eLearning

Posted by interes at May 6, 2017
Stochastic Finance: An Introduction in Discrete Time, 4 edition

Stochastic Finance: An Introduction in Discrete Time, 4 edition (de Gruyter Textbook) by Hans Follmer and Alexander Schied
English | 2016 | ISBN: 311046344X | 596 pages | PDF + EPUB | 3 + 39,3 MB
Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology, 3 edition

Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology, 3 edition by B. Burt Gerstman
English | 2013 | ISBN: 1444336088 | 478 pages | PDF | 4 MB

Introduction to Machine Learning - 18 Hours  eBooks & eLearning

Posted by Sigha at Dec. 27, 2019
Introduction to Machine Learning - 18 Hours

Introduction to Machine Learning - 18 Hours
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 15.6 GB
Genre: eLearning Video | Duration: 17:54:52 | Language: English

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