AN INTRODUCTION TO ERROR ANALYSIS JOHN R TAYLOR SOLUTION MANUAL



An Introduction To Error Analysis John R Taylor Solution Manual

How to Find Linear Functions Sciencing. 24-05-2013В В· Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. В« Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability, These include di erent fonts for urls, R commands, dataset names and di erent typesetting for longer sequences of R commands. and for Data sets. Section 2: Data Statistics is the study of data. After learning how to start R, the rst thing we need to be able to do is learn how to enter data into Rand how to manipulate the data once there. Starting R.

(PDF) Designing for People An introduction to human

How to Find Linear Functions Sciencing. A Mathematical Introduction to Robotic Manipulation Richard M. Murray California Institute of Technology Zexiang Li Hong Kong University of Science and Technology S. Shankar Sastry University of California, Berkeley 4.3 Analysis and control of tendon-driven fingers . . . 298, 08-11-2014 · Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data ….

INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98 EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g.

20-06-2015 · EMBED (for wordpress.com hosted blogs and archive.org item tags) Introduction to CFD Basics Rajesh Bhaskaran Lance Collins This is a quick-and-dirty introduction to the basic concepts underlying CFD. The con-cepts are illustrated …

25-04-2017В В· At one time or another, you've probably used spreadsheet programs to find the best linear equation that fits a given set of data points -- an operation called simple linear regression. If you've ever wondered exactly how the spreadsheet program completes the calculation, then don't worry, it's not 20-06-2015В В· EMBED (for wordpress.com hosted blogs and archive.org item tags)

16.810 (16.682) 2 Plan for Today FEM Lecture (ca. 50 min) FEM fundamental concepts, analysis procedure Errors, Mistakes, and Accuracy Cosmos Introduction (ca. 30 min) Follow along step-by-step Conduct FEA of your part (ca. 90 min) Work in teams of two First conduct an analysis of your CAD design You are free to make modifications to your original model 14-08-2017В В· JOHN R. TAYLOR is Professor of Physics and Presidential Teaching Scholar at the University of Colorado, where he has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called 'Physics 4 Fun'.

Introduction to CFD Basics Rajesh Bhaskaran Lance Collins This is a quick-and-dirty introduction to the basic concepts underlying CFD. The con-cepts are illustrated … INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98

(PDF) Designing for People An introduction to human. 25-04-2017В В· At one time or another, you've probably used spreadsheet programs to find the best linear equation that fits a given set of data points -- an operation called simple linear regression. If you've ever wondered exactly how the spreadsheet program completes the calculation, then don't worry, it's not, 24-05-2013В В· Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. В« Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability.

How to Find Linear Functions Sciencing

an introduction to error analysis john r taylor solution manual

(PDF) Designing for People An introduction to human. A Mathematical Introduction to Robotic Manipulation Richard M. Murray California Institute of Technology Zexiang Li Hong Kong University of Science and Technology S. Shankar Sastry University of California, Berkeley 4.3 Analysis and control of tendon-driven п¬Ѓngers . . . 298, is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients..

How to Find Linear Functions Sciencing. Introduction to CFD Basics Rajesh Bhaskaran Lance Collins This is a quick-and-dirty introduction to the basic concepts underlying CFD. The con-cepts are illustrated …, In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor.".

Introduction to Data Science with R Data Analysis Part 1

an introduction to error analysis john r taylor solution manual

Introduction to Data Science with R Data Analysis Part 1. INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98 Designing for People: An introduction to human factors engineering This book provides a broad introduction on how to attend to the needs, capabilities, and preferences of people in the design.

an introduction to error analysis john r taylor solution manual


is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients. Designing for People: An introduction to human factors engineering This book provides a broad introduction on how to attend to the needs, capabilities, and preferences of people in the design

easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g.

Introduction to Modern Economic Growth 30.3. Taylor Series 827 30.4. Optima and Constrained Optima 827 30.5. Intermediate and Mean Value Theorems 827 30.6. Inverse and Implicit Function Theorems 827 Chapter 31. Review of Ordinary Differential Equations 829 31.1. Review of Complex Numbers 829 31.2. Eigenvalues and Eigenvectors 829 31.3. Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

A Mathematical Introduction to Robotic Manipulation Richard M. Murray California Institute of Technology Zexiang Li Hong Kong University of Science and Technology S. Shankar Sastry University of California, Berkeley 4.3 Analysis and control of tendon-driven fingers . . . 298 Consider the problem e−x = x, for which we are being asked to determine if a solution exists. One possible way to approach this problem is to define a function f(x) = e−x−x, rewrite the problem as f(x) = 0, and plot f(x). This is not so bad, but already requires a graphic calculator or a calculus-like analysis of the function f(x) in

easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98

Estimating Uncertainty in Repeated Measurements Suppose you time the period of oscillation of a pendulum using a digital instrument (that you assume is measuring accurately) and find: T = 0.44 seconds. This single measurement of the period suggests a precision of В±0.005 s, but this instrument precision may not give a complete sense of the uncertainty. Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

an introduction to error analysis john r taylor solution manual

Introduction to Modern Economic Growth 30.3. Taylor Series 827 30.4. Optima and Constrained Optima 827 30.5. Intermediate and Mean Value Theorems 827 30.6. Inverse and Implicit Function Theorems 827 Chapter 31. Review of Ordinary Differential Equations 829 31.1. Review of Complex Numbers 829 31.2. Eigenvalues and Eigenvectors 829 31.3. easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu

Aug 13, 2019В В· I can also see more 1.5T Sport with the manual than 2.0T Sport models selling, due to the CVT the 1.5T gets and the 1.5T lower price. (maybe Honda will bolt the 1.5T to the 10 speed eventually, although Honda's CVT is good) Unless one is at elevation, it's a virtual dead heat between the new 2.0T 10AT and the 9th gen AV6 6AT. User manual honda accord 2019 sport Forestville Sep 20, 2019В В· Only the base LX has a driver's seat with manual adjustment; the rest wield 12-way power adjustment. 2019 Honda Accord Sport 2.0T review: The driving enthusiast's family sedan Mobile User

(PDF) Designing for People An introduction to human

an introduction to error analysis john r taylor solution manual

(PDF) Designing for People An introduction to human. 24-05-2013В В· Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. В« Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability, easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu.

Introduction to Data Science with R Data Analysis Part 1

How to Find Linear Functions Sciencing. 14-08-2017В В· JOHN R. TAYLOR is Professor of Physics and Presidential Teaching Scholar at the University of Colorado, where he has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called 'Physics 4 Fun'., 25-04-2017В В· At one time or another, you've probably used spreadsheet programs to find the best linear equation that fits a given set of data points -- an operation called simple linear regression. If you've ever wondered exactly how the spreadsheet program completes the calculation, then don't worry, it's not.

EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g. INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98

20-06-2015В В· EMBED (for wordpress.com hosted blogs and archive.org item tags) 14-08-2017В В· JOHN R. TAYLOR is Professor of Physics and Presidential Teaching Scholar at the University of Colorado, where he has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called 'Physics 4 Fun'.

is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients. 20-06-2015В В· EMBED (for wordpress.com hosted blogs and archive.org item tags)

EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g. EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g.

easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

25-04-2017В В· At one time or another, you've probably used spreadsheet programs to find the best linear equation that fits a given set of data points -- an operation called simple linear regression. If you've ever wondered exactly how the spreadsheet program completes the calculation, then don't worry, it's not easy to Download power system analysis and design 4th solution manual pdf glover ebooks. Data Structures and Algorithms in Java, 4th Edition.pdf Introduction to Algorithms-Cormen Solution.pdf Database Design Manual Using Mysql for Windows 2004.pdf Data Structure And Algorithms In C++ 2nd ed - Adam Drozdek.djvu

is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients. 16.810 (16.682) 2 Plan for Today FEM Lecture (ca. 50 min) FEM fundamental concepts, analysis procedure Errors, Mistakes, and Accuracy Cosmos Introduction (ca. 30 min) Follow along step-by-step Conduct FEA of your part (ca. 90 min) Work in teams of two First conduct an analysis of your CAD design You are free to make modifications to your original model

Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1 Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

24-05-2013 · Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. « Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability 08-11-2014 · Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data …

is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients. 08-11-2014 · Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data …

Introduction to Data Science with R Data Analysis Part 1. 16.810 (16.682) 2 Plan for Today FEM Lecture (ca. 50 min) FEM fundamental concepts, analysis procedure Errors, Mistakes, and Accuracy Cosmos Introduction (ca. 30 min) Follow along step-by-step Conduct FEA of your part (ca. 90 min) Work in teams of two First conduct an analysis of your CAD design You are free to make modifications to your original model, In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor.".

Introduction to Data Science with R Data Analysis Part 1

an introduction to error analysis john r taylor solution manual

(PDF) Designing for People An introduction to human. EQUATIONS: AN INTRODUCTION For simple differential equations, it is possible to find clo sed form solutions. For example, given a function g, the general solution of the simplest equation Y′(t) = g(t) is Y(t) = Z g(s)ds+c with can arbitraryintegrationconstant. Here, R g(s)dsdenotes anyfixed antideriva-tive of g., A Mathematical Introduction to Robotic Manipulation Richard M. Murray California Institute of Technology Zexiang Li Hong Kong University of Science and Technology S. Shankar Sastry University of California, Berkeley 4.3 Analysis and control of tendon-driven fingers . . . 298.

How to Find Linear Functions Sciencing

an introduction to error analysis john r taylor solution manual

(PDF) Designing for People An introduction to human. Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1 Estimating Uncertainty in Repeated Measurements Suppose you time the period of oscillation of a pendulum using a digital instrument (that you assume is measuring accurately) and find: T = 0.44 seconds. This single measurement of the period suggests a precision of В±0.005 s, but this instrument precision may not give a complete sense of the uncertainty..

an introduction to error analysis john r taylor solution manual

  • Introduction to Data Science with R Data Analysis Part 1
  • How to Find Linear Functions Sciencing
  • How to Find Linear Functions Sciencing

  • is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients. 24-05-2013В В· Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. В« Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability

    24-05-2013 · Taylor, R. John. Classical Mechanics. Solutions and Errata. 2013/05/24 in Soln. & Errata. Solutions. « Duistermaat Multidimensional Real Analysis Related Links. Bertsekas & Tsitsiklis. Introduction to Probability 08-11-2014 · Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data …

    20-06-2015В В· EMBED (for wordpress.com hosted blogs and archive.org item tags) Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

    25-04-2017В В· At one time or another, you've probably used spreadsheet programs to find the best linear equation that fits a given set of data points -- an operation called simple linear regression. If you've ever wondered exactly how the spreadsheet program completes the calculation, then don't worry, it's not In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor."

    INTRODUCTION TO REAL ANALYSIS William F. Trench AndrewG. Cowles Distinguished Professor Emeritus Creative Commons license, the solutions manual is not. The author reserves all rights to the manual. TO BEVERLY. Contents 2.5 Taylor’s Theorem 98 In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor."

    Estimating Uncertainty in Repeated Measurements Suppose you time the period of oscillation of a pendulum using a digital instrument (that you assume is measuring accurately) and find: T = 0.44 seconds. This single measurement of the period suggests a precision of ±0.005 s, but this instrument precision may not give a complete sense of the uncertainty. Consider the problem e−x = x, for which we are being asked to determine if a solution exists. One possible way to approach this problem is to define a function f(x) = e−x−x, rewrite the problem as f(x) = 0, and plot f(x). This is not so bad, but already requires a graphic calculator or a calculus-like analysis of the function f(x) in

    In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor." Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1

    Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1 14-08-2017В В· JOHN R. TAYLOR is Professor of Physics and Presidential Teaching Scholar at the University of Colorado, where he has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called 'Physics 4 Fun'.

    16.810 (16.682) 2 Plan for Today FEM Lecture (ca. 50 min) FEM fundamental concepts, analysis procedure Errors, Mistakes, and Accuracy Cosmos Introduction (ca. 30 min) Follow along step-by-step Conduct FEA of your part (ca. 90 min) Work in teams of two First conduct an analysis of your CAD design You are free to make modifications to your original model is also a solution, where c1 and c2 are arbitrary constants. Finally, (1.2.2) must be the most general solution since it has the \right" number of arbitrary constants, namely two. Trying a solution in the form of an exponential is always the correct rst step in solving linear equations with constant coe cients.

    14-08-2017В В· JOHN R. TAYLOR is Professor of Physics and Presidential Teaching Scholar at the University of Colorado, where he has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called 'Physics 4 Fun'. A Mathematical Introduction to Robotic Manipulation Richard M. Murray California Institute of Technology Zexiang Li Hong Kong University of Science and Technology S. Shankar Sastry University of California, Berkeley 4.3 Analysis and control of tendon-driven п¬Ѓngers . . . 298

    In my estimation, Taylor's book is far superior. It is very sensibly organized, and can be read without hopping back and forth between sections or chapters. The introduction of variational principles and Lagrangian mechanics is seamless, and conducted fairly early on. The students grasped it much more quickly than I anticipated...Kudos to Taylor." Introduction Generalized Linear Models Estimation A general method of solving score equations is the iterative algorithm Fisher's Method of Scoring (derived from a Taylor's expansion of s( )) In the r-th iteration , the new estimate (r+1) is obtained from the previous estimate (r) by (r+1) = (r) + s (r ) E H (r ) 1