Computer Based Numerical and Statistical Techniques, 4/e

Computer Based Numerical and Statistical Techniques, 4/e

Authors : Santosh Kumar Sengar

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About the Author

Santosh Kumar Sengar :-
MPhil, PhD from Aligarh Muslim University is Associate Professor of Mathematics at University of Dar es Salaam, Tanzania. Before joining the University of Dar es Salaam, he has worked at University of Dodoma, Tanzania and AKTU (erstwhile UPTU) Uttar Pradesh, India. He has a teaching experience of more than 18 years. An author of more than four dozen research papers in international journals in the area of ';Fixed Point Theory', he has also supervised several MSc and PhD students in Fixed Point Theory and Mathematical Modelling. He has, till date, 12 books for undergraduate and postgraduate students to his name.
 

About the Book

Computer Based Numerical and Statistical Techniques has been written to provide fundamental introduction of numerical analysis for the students who take a course on Engineering Mathematics and for the students of computer science engineering. The book has been divided into 14 chapters covering all important aspects starting from high speed computation to Interpolation and Curve Fitting to Numerical Integration and Differentiation and finally focusing on Test of Significance.
 

Salient Features

• A comprehensive coverage of Numerical methods including algorithm and 'C' Program.
• More than 800 problems including over 350 solved problems with different techniques.
• A detailed explanation of different topics with suitable examples.
• Notations and terminology have been clearly explained and all mathematical steps have been explained in detail.
 

Table of Content

1. High Speed Computations and Errors, 2. Solution of Algebraic and Transcendental Equations, 3. System of Linear Algebraic Equations, 4. Calculus of Finite Differences, 5. Interpolation with Equal Intervals, 6. Central Difference Interpolation, 7. Interpolation with Unequal Intervals, 8. Curve Fitting, Cubic Spline and Approximations, 9. Numerical Differentiation, 10. Numerical Integration, 11. Numerical Solution of Ordinary Differential Equations, 12. Statistical Computation and Quality Control, 13. Time Series and Forecasting, 14. Test of Significance • Objective Questions • Statistical Tables