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008			181029s9999 xx 000 0 und d
020			_a9781498741743 _cP 95.00
040			_cLDD
082			_223 _a518 Sa19N
100			_a Saha Ray, Santanu _eauthor _98172
245		0	_aNumerical analysis with algorithms and programming / _cSantanu Saha Ray
260			_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2016.
300			_axix, 685 pages : _billustrations ; _c26 cm
365			_bP 95.00
505			_aChapter 1 Errors in Numerical Computations -- chapter 2 Numerical Solutions of Algebraic and Transcendental Equations -- chapter 3 Interpolation -- chapter 4 Numerical Differentiation -- chapter 5 Numerical Integration -- chapter 6 Numerical Solution of System of Linear Algebraic Equations -- chapter 7 Numerical Solutions of Ordinary Differential Equations -- chapter 8 Matrix Eigenvalue Problem -- chapter 9 Approximation of Functions -- chapter 10 Numerical Solutions of Partial Differential Equations -- chapter 11 An Introduction to the Finite Element Method.
520			_aNumerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. It presents many techniques for the efficient numerical solution of problems in science and engineering. Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica(R) programs, the book includes the standard algorithms for numerical computation: * Root finding for nonlinear equations * Interpolation and approximation of functions by simpler computational building blocks, such as polynomials and splines * The solution of systems of linear equations and triangularization * Approximation of functions and least square approximation * Numerical differentiation and divided differences * Numerical quadrature and integration * Numerical solutions of ordinary differential equations (ODEs) and boundary value problems * Numerical solution of partial differential equations (PDEs) The text develops students' understanding of the construction of numerical algorithms and the applicability of the methods. By thoroughly studying the algorithms, students will discover how various methods provide accuracy, efficiency, scalability, and stability for large-scale systems.
650			_aNumerical analysis _xProblems, exercises, etc. _99142
651			_xData processing _99143
901			_a17343 _b02-01-2018
902			_a1068324 _b08-01-2018 _cF _dAPAD _e51
903			_aDiscount-20 _bReqst by : Pawan Kumar
942			_2ddc _cBK