000			02970pam a2200241a 44500
003			OSt
005			20240408154623.0
008			160408b1999 xxu||||| |||| 00| 0 eng d
020			_a9971512831
040			_cIITK
041			_aeng
082			_a510.02462 _bK889a8
100			_aKreyszig, Erwin
245	1		_aAdvanced engineering mathematics [8th ed.] _cErwin Kreyszig
250			_a8th ed
260			_bJohn Wiley _c1999 _aNew York
300			_axvi,1156p
500			_aIncludes Bibliographical References And Index References 97p. and index 20p.
520			_aThis is a popular study and reference material on the subject of engineering mathematics. The book is a comprehensive text for engineering mathematics. Into its eighth edition, this is a popular study material for students whose chosen subject of study requires an understanding of advanced engineering mathematical concepts. The subject matter is arranged chapter-wise, and these are grouped into seven parts. This self-contained text provides thorough coverage of engineering mathematics, with detailed examples and illustrations. The content is divided into parts, which are Ordinary Differential Equations (ODE), Linear Algebra, Vector Calculus, Fourier Analysis and Partial Differential Equations, Complex Analysis, Numerical Methods, Optimization Graphs, and Probability and Statistics. The first part covers first-order ODEs and second-order linear ODEs, systems of differential equations, phase plane, and quantitative methods, series solutions of ODEs and special functions, and Laplace transforms. The second part covers vectors, matrices, determinants, linear systems of equations, matrix Eigenvalue problems, vector differential calculus, and vector integral calculus. The third part covers Fourier series, integrals and transforms, and partial differential equations. The fourth part concentrates on complex analysis topics such as complex numbers and functions, conformal mapping, complex integration, power series, Taylor series, Laurent series, residue integration, and complex analysis applied to potential theory. The fifth part explains numerical methods. The topics here are numerical methods in general, numerical methods in linear algebra, and numerical methods for differential equations. Part six covers optimization graphs such as unconstrained optimization, linear programming, graphs, and combinatorial optimization. Part seven covers probability and statistics, which includes data analysis, probability theory, and mathematical statistics. The appendix section contains references, answers to odd-numbered problems, auxiliary material, formulas for special functions, additional proofs, and tables. Each chapter ends with a chapter review and chapter summary. The chapter review consists of questions and exercises on the topics covered in the chapter.
650			_aMathematical physics
650			_aEngineering mathematics
942			_cBK
999			_c310054 _d310054