Computer Based Numerical & Statistical Techniques
Author: Goyal
Publisher: Firewall Media
Published: 2005
Total Pages: 612
ISBN-13: 9788170087830
DOWNLOAD EBOOKRead and Download eBook Full
Author: Goyal
Publisher: Firewall Media
Published: 2005
Total Pages: 612
ISBN-13: 9788170087830
DOWNLOAD EBOOKAuthor: RAJARAMAN, V.
Publisher: PHI Learning Pvt. Ltd.
Published: 2018-11-01
Total Pages: 222
ISBN-13: 9388028325
DOWNLOAD EBOOKThis book is a concise and lucid introduction to computer oriented numerical methods with well-chosen graphical illustrations that give an insight into the mechanism of various methods. The book develops computational algorithms for solving non-linear algebraic equation, sets of linear equations, curve-fitting, integration, differentiation, and solving ordinary differential equations. OUTSTANDING FEATURES • Elementary presentation of numerical methods using computers for solving a variety of problems for students who have only basic level knowledge of mathematics. • Geometrical illustrations used to explain how numerical algorithms are evolved. • Emphasis on implementation of numerical algorithm on computers. • Detailed discussion of IEEE standard for representing floating point numbers. • Algorithms derived and presented using a simple English based structured language. • Truncation and rounding errors in numerical calculations explained. • Each chapter starts with learning goals and all methods illustrated with numerical examples. • Appendix gives pointers to open source libraries for numerical computation.
Author: SANT SHARAN MISHRA
Publisher: PHI Learning Pvt. Ltd.
Published: 2013-05-22
Total Pages: 512
ISBN-13: 8120347803
DOWNLOAD EBOOKThis comprehensive text provides a thorough understanding of mathematical concepts and their applications with special emphasis on computational algorithms. The book gives a detailed discussion on all the relevant topics of both numerical and statistical methods, which are nowadays very important at computing level. It also includes the basic issues related to theory of estimation and testing of hypothesis, various sampling tests, and analysis of variance with plenty of illustrations. The topics covered in this book are supported by a large number of worked-out examples, C programs and algorithms to facilitate clear understanding of various theories discussed on numerical and statistical methods. The text is intended for the undergraduate students of computer engineering and postgraduate students of computer applications.
Author: Santosh Kumar Sengar
Publisher: S. Chand Publishing
Published:
Total Pages:
ISBN-13: 9352833988
DOWNLOAD EBOOKComputer 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
Author: J. H. Pollard
Publisher: CUP Archive
Published: 1977
Total Pages: 372
ISBN-13: 9780521297509
DOWNLOAD EBOOKThis handbook is designed for experimental scientists, particularly those in the life sciences. It is for the non-specialist, and although it assumes only a little knowledge of statistics and mathematics, those with a deeper understanding will also find it useful. The book is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive terminal. The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts. Part I deals with numerical techniques and Part II with statistical techniques. Part III is devoted to the method of least squares which can be regarded as both a statistical and numerical method. The handbook shows clearly how each calculation is performed. Each technique is illustrated by at least one example and there are worked examples and exercises throughout the volume.
Author: Kenneth Lange
Publisher: Springer Science & Business Media
Published: 2010-05-17
Total Pages: 606
ISBN-13: 1441959459
DOWNLOAD EBOOKNumerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author: Rakesh Kumar
Publisher: CBS Publishers & Distributors Private Limited
Published: 2018-01-30
Total Pages: 11
ISBN-13: 9387085120
DOWNLOAD EBOOKThe book introduces subject techniques to approximate mathematical procedures/solutions of problems that arise in science and engineering. It handles carefully a detailed elucidation of errors in numerical analysis. It aims to fully cater to the needs of students of the courses: BSc/MSc (mathematics and physics), BSc (computer science), BTech (all courses in engineering) and MCA.
Author: Kumar Santosh
Publisher: S. Chand Publishing
Published: 2009
Total Pages: 0
ISBN-13: 9788121929394
DOWNLOAD EBOOKThe contents of this book have numerous distinguishing features over the already existing textbooks on the same topic.The contents of the book have been organized in a logical order and the topics are discussed in a systematic manner.The Book is designed as a textbook on computational numarical methods for the students of engineering,mathematics,BCA,MCA of different technical universities.
Author: Gilberto E. Urroz
Publisher:
Published: 2001
Total Pages: 606
ISBN-13:
DOWNLOAD EBOOKMathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/)
Author: R.A. Thisted
Publisher: Routledge
Published: 2017-10-19
Total Pages: 456
ISBN-13: 1351452746
DOWNLOAD EBOOKStatistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.