Cover image for Textbook of Computer based Numerical and Statistical Techniques.
Textbook of Computer based Numerical and Statistical Techniques.
Title:
Textbook of Computer based Numerical and Statistical Techniques.
Author:
Jaiswal, A.K.
ISBN:
9788122428810
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (618 pages)
Contents:
Cover -- Preface -- Contents -- Chapter 1. Errors and Floating Point -- 1.1 Introduction -- 1.2 Accuracy of Numbers -- 1.3 Errors -- 1.4 A General Formula for Error -- 1.4.1 Error in Addition of Numbers -- 1.4.2 Error in Subtraction of Numbers -- 1.4.3 Error in Product of Numbers -- 1.4.4 Error in Division of Numbers -- 1.4.5 Inverse Problem -- 1.4.6 Error in Evaluating xk -- 1.5 Error in Series Approximation -- Problem Set 1.1 -- 1.6 Some Important Mathematical Preliminaries -- 1.7 Floating Point -- 1.8 Floating Point Arithmetic and their Computation -- 1.8.1 Arithmetic Operations on Floating Point Numbers -- Problem Set 1.2 -- Chapter 2. Algebraic and Transcendental Equation -- 2.1 Introduction -- 2.2 Methods for Finding the Root of an Equation -- 2.2.1 Direct Methods -- 2.2.2 Iterative Methods -- 2.3 Order (or Rate) of Convergence of Iterative Methods -- 2.4 Bisection (or Bolzano) Method -- 2.4.1 Procedure for the Bisection Method to Find the Root of the Equation f (x) = 0 -- 2.4.2 Order of Convergence of Bisection Method -- Problem Set 2.1 -- 2.5 False Position Method (or Regula Falsi Method) -- 2.5.1 Procedure for the False Position Method to Find the Root of the Equation f (x) = 0 -- 2.5.2 Order (or Rate) of Convergence of False Position Method -- Problem Set 2.2 -- 2.6 Iteration Method (Method of Successive Approximation) -- 2.6.1 Procedure For Iteration Method To Find The Root of The Equation f(x) = 0 -- 2.6.2 Rate of Convergence of Iteration Method -- Problem Set 2.3 -- 2.7 Newton-Raphson Method (or Newton's Method) -- 2.7.1 Procedure for Newton Raphson Method to Find the Root of the Equation f (x) = 0 -- 2.7.2 Order (or Rate) of Convergence of Newton-Raphson Method -- Problem Set 2.4 -- 2.8 Secant Method -- 2.8.1 Procedure for Secant Method to Find the Root of f(x)=0 -- 2.8.2 Rate or Order of Convergence of Secant Method.

2.9 Methods for Complex Roots -- 2.10 Muller's Method -- 2.11 Lin Bairstow Method -- 2.12 Quotient Difference Method -- Problem Set 2.5 -- Chapter 3. Calculus of Finite Differences -- 3.1. Introduction -- 3.2 Finite Differences -- 3.3 Argument and Entry -- 3.4 Differences -- 3.4.1 Forward or Leading Differences -- 3.4.2 Backward or Ascending Differences -- 3.4.3 Central Differences -- 3.4.4 Other Difference Operators -- 3.4.5 Properties of Operators -- 3.4.6 Relation between Different Operators -- Problem Set 3.1 -- 3.5 Fundamental Theorem on Differences of Polynomial -- 3.6 Estimation of Error By Difference Table -- 3.7 Technique to Determine The Missing Term -- Problem Set 3.2 -- 3.8 Separation of Symbols -- 3.9 Factorial Notations -- 3.10 Reciprocal Factorial Notation -- 3.11 Method of Representing Polynomial in Factorial Notations -- 3.11.1 Direct Method -- 3.11.2 Method of Synthetic Division -- 3.12 Errors in Polynomial Interpolation -- 3.13. Differences of Zeros -- Problem Set 3.3 -- Chapter 4. Interpolation with Equal Interval -- 4.1 Introduction -- 4.2 Newton's Gregory Formula for Forward Interpolation -- Problem Set 4.1 -- 4.3 Newton's Gregory Formula for Backward Interpolation -- Problem Set 4.2 -- 4.4 Central Difference Formulae -- 4.4.1 Gauss Forward Difference Formula -- 4.4.2 Gauss Backward Difference Formula -- 4.4.3 Stirling's Formula -- 4.4.4 Bessel's Interpolation Formula -- 4.4.5 Laplace-Everett's Formula -- Problem Set 4.3 -- Gauss Backward -- Problem Set 4.4 -- Stirling's Formula -- Problem Set 4.5 -- 4.5 Bessel's -- Problem Set 4.6 -- 4.6 Laplace Everetts -- Problem Set 4.7 -- Chapter 5. Interpolation with Unequal Interval -- 5.1 Introduction -- 5.2 Lagrange's Interpolation Formula -- Problem Set 5.1 -- 5.3 Errors in Polynomial Interpolation -- 5.3.1 Error in Lagrange's interpolation formula -- 5.3.2 Inverse Interpolation.

5.3.3 Expression of Function as a Sum of Partial Fractions -- Problem Set 5.2 -- 5.4 Divided Difference -- 5.4.1 Properties of Divided Differences -- 5.4.2. Relation Between Divided Differences and Ordinary Differences -- 5.5 Newton's Divided Difference Formula -- Problem Set 5.3 -- 5.6. Hermite's Interpolation Formula -- Problem Set 5.4 -- 5.7. Some Related Terms -- 5.7.1 Some Remarkable Points about Chosen Different Interpolation Formulae -- 5.7.2 Approximation of Function -- 5.7.3 Spline Interpolation -- 5.7.4 Cubic Spline Interpolation for Equally and Unequally Spaced Values -- Problem Set 5.5 -- Chapter 6. Numerical Differentiation and Integration -- 6.1 Introduction -- 6.2 Numerical Differentiation -- 6.2.1 Derivation Using Newton's Forward Interpolation Formula -- 6.2.2 Derivatives Using Newton's Backward Difference Formula -- 6.2.3 Derivatives Using Stirling's Formula -- 6.2.4 Derivative Using Newton's Divided Difference Formula -- Problem Set 6.1 -- 6.3 Numerical Integration -- 6.4 General Quadrature Formula -- 6.5 Trapezoidal Rule -- 6.6 Simpson's One-third Rule -- 6.7 Simpson's Three-eight Rule -- 6.8 Boole's Rule -- 6.9 Weddle's Rule -- 6.10 Euler-Maclaurin's Formula -- Problem Set 6.2 -- Chapter 7. Numerical Solution of Ordinary Differential Equation -- 7.1 Introduction -- 7.2 Taylor's Method -- 7.3 Picard's Method of Successive Approximations -- 7.4 Euler's Method -- 7.5 Euler's Modified Method -- Problem Set 7.1 -- 7.6 Runge-Kutta Method -- 7.7 Milne's Predictor-Corrector Method -- Predictor-Corrector Methods -- Milne's Method -- 7.8 Automatic Error Monitoring -- Convergence of a Method -- 7.9 Stability in the Solution of Ordinary Differential equation -- Problem Set 7.2 -- Chapter 8. Solution of Simultaneous Linear Equation -- 8.1 Introduction -- 8.2 Gauss-Elimination Method -- 8.3 Gauss-Elimination with Pivoting Method.

8.4 Ill-Conditioned System of Equations -- 8.5 Iterative Refinement of The Solution by Gauss elimination Method -- 8.6 Iterative Method for Solution of Simultaneouslinear Equation -- 8.6.1 Jacobi's Method or Gauss-Jacobi Method -- 8.6.2 Guass-Seidel Method -- Problem Set 8.1 -- Chapter 9. Curve Fitting -- 9.1 Introduction -- 9.2 Principle of Least Squares -- 9.2.1 Fitting of Straight Line -- 9.2.2 Fitting of Parabola -- 9.2.3 Change of Scale -- 9.2.4 Fitting of an Exponential Curve -- 9.2.5 Fitting of the Curve y=ax+bx2 -- 9.2.6 Fitting of the Curve y = ax+b/x -- 9.2.7 Fitting of the Curve -- Problem Set 9.1 -- 9.3 Regression -- 9.3.1 Dependent and Independent Variables -- 9.3.2 Line of Regression -- 9.3.3 Regression Line of y on x -- 9.3.4 Regression Line of x on y -- 9.3.5 To obtain the Equation of Line of Regression of y on x -- 9.3.6 To Obtain the Equation of Line of Regression of x on y -- 9.3.7 Another Form of Equations of Lines of Regression -- 9.3.8 Some Properties of Regression Coefficients -- 9.4 Error of Prediction -- 9.5 Multiple Linear Regression -- Problem Set 9.2 -- Chapter 10. Time Series and Forecasting -- 10.1 Introduction -- 10.2 Times Series Graph -- 10.3 Component of Time Series -- 10.4 Analysis of Time Series -- 10.4.1 Analysis of Trend or Secular Trend -- 10.4.2 Analysis of Seasonal Variation -- 10.4.3 Analysis of Cyclical Fluctuation or Cyclic Variations -- 10.4.4 Analysis of Irregular of Random Movements -- 10.5 Importance of Time Series -- Problem Set 10.1 -- 10.6 Forecasting -- 10.7 Forecasting Modes -- 10.7.1 Additive Model -- 10.7.2 Multiplicative Model -- 10.8 Types of Forecasting and Forecasting Methods -- 10.9 Smoothing of Curve -- Chapter 11. Statistical Quality Control -- 11.1 Introduction -- 11.1.1 Difference between Diagrams and Graphs -- 11.1.2 Types of Diagrams -- 11.1.3 Rules for Drawing Diagrams.

11.2 Line Diagram -- 11.3 Bar Diagram -- 11.4 One Dimensional Diagram -- 11.5 Two Dimensional Diagrams -- 11.6 Three Dimensional Diagrams -- 11.7 Pictograms -- 11.8 Cartograms -- 11.9 Graphic Representation of Data -- 11.9.1 Graphs of Frequency Distribution -- 11.9.2 Graphs of Time-Series -- 11.10 Statistical Quality Control -- 11.10.1 Causes of Variation -- 11.10.2 Types of Quality Control -- 11.11 Control Charts -- 11.12 3-σ Control Limits -- 11.13 Types of Control Chart -- 11.13.1 Control Chart for Variable -- 11.13.2 Control Chart for Attributes -- Problem Set 11.1 -- Chapter 12. Testing of Hypothesis -- 12.1 Introduction -- 12.2 Some Important Definitions -- 12.3 Understanding the Type of Test -- 12.4 Procedure for Testing of Hypothesis -- 12.5 Standard Error -- 12.6 Test of Significance for Large Samples -- Problem Set 12.1 -- 12.7 Test of Significance for Small Samples -- 12.7.1 Chi-Square (χ2) Test -- 12.7.2 Student's t-distribution -- 12.7.3 Snedecor's Variance Ratio Test or F-test -- 12.7.4 Fisher's Z-test -- Problem Set 12.2 -- Chapter 13. Computer Programming in 'C' Language -- 13.1 Introduction -- Elements of Real Programming Languages -- Computer Representation of Numbers -- Characters, Strings, and Numbers -- Compiler Terminology -- Basic Data Types and Operators -- Arithmetic Operators -- Assignment Operators -- Function Calls -- Statements And Control Flow -- Boolean Expressions -- Array Initialization -- Arrays of Arrays ("Multidimensional" Arrays) -- Functions and Program Structure -- Function Basics -- Character Input and Output -- Assignment Operators -- Increment and Decrement Operators -- Strings -- The C Preprocessor -- Pointers and Arrays -- Null Pointers -- 13.2 Algorithm for Bisection Method -- 13.3 Programming for Bisection Method -- 13.4 Algorithm for False Position Method -- 13.5 Programming for False Position Method.

13.6 Algorithm for Iteration Method.
Abstract:
About the Book: Application of Numerical Analysis has become an integral part of the life of all the modern engineers and scientists. The contents of this book covers both the introductory topics and the more advanced topics such as partial differential equations. This book is different from many other books in a number of ways. Salient Features: Mathematical derivation of each method is given to build the students understanding of numerical analysis. A variety of solved examples are given. Computer programs for almost all numerical methods discussed have been presented in `C` language. Error analysis for almost all methods are presented. Each chapter begins with an introduction of concerned topic. Exercise questions provide an opportunity to the students to test their understanding of the concepts. Contents: Errors and Floating Point Algebraic and Transcendental Equation Calculus of Finite Differences Interpolation with Equal Interval Interpolation with Unequal Interval Numerical Differentiation and Integration Numerical Solution of Ordinary Differential Equation Solution of Simultaneous Linear Equation Curve Fitting Time Series and Forecasting Statistical Quality Control Testing of Hypothesis Programming in `C` Language.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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