Contents 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 Numerical Differentiation 9 Numerical Integration 10 Numerical Solution of Ordinary Differential Equations 11 Curve Fitting Cubic Spline and Approximations 12 Statistical Computation and Quality Control 13 Time Series and Forecasting 14 Test of significance 15 Objective Questions MCA Examination Question� Index For BTech MCA BSc MSc students of different technical universities The content of this bok have numerous distinguishing features over the already existing textbooks on the same topic The content of the book have been organised in a logical order and the topics are discussed in a systematic manner The book is designed as textbook on computational numerical methods for the students of Engineering Mathematics BCA MCA of different technical universities This book provides a fundamental introduction to numerical analysis suuitable for undergraduate and postgraduate students in mathematics computer science and engineering The numerical methods have always been useful for their role in the present-day scientific computations and research 532 pp.

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Bibliographic Details

Title: Computer Based Numerical and Statistical Techniques
Publisher: S. Chand Publisher
Publication Date: 2019
Language: English
ISBN 10: 9352833988
ISBN 13: 9789352833986
Binding: Soft cover
Edition: 4th Edition
Condition: New

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

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