000			02064nam a2200253 4500
005			20250623101245.0
008			250623b |||||||| |||| 00| 0 eng d
020			_a9781032619917
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB311 R4 _qCSL
100			_aRajasekar, Shanmuganathan _eauthor. _9813604
245			_aNumerical Methods _b: Classical and Advanced Topics
260			_aBoca Raton: _bCRC Press, _c2024.
300			_axv, 541p. _b: col. ill. _c; 25 cm.
500			_aIncludes Index and selected answers
520			_aThis book presents a pedagogical treatment of a wide range of numerical methods to suit the needs of undergraduate and postgraduate students, and teachers and researchers in physics, mathematics, and engineering. For each method, the derivation of the formula/algorithm, error analysis, case studies, applications in science and engineering and the special features are covered. A detailed presentation of solving time-dependent Schrödinger equation and nonlinear wave equations, along with the Monte Carlo techniques (to mention a few) will aid in students’ understanding of several physical phenomena including tunnelling, elastic collision of nonlinear waves, electronic distribution in atoms, and diffusion of neutrons through simulation study. The book covers advanced topics such as symplectic integrators and random number generators for desired distributions and Monte Carlo techniques, which are usually overlooked in other numerical methods textbooks. Interesting updates on classical topics include: curve fitting to a sigmoid and Gaussian functions and product of certain two functions, solving of differential equations in the presence of noise, and solving the time-independent Schrödinger equation.
650			_aNumerical analysis _9713154
650			_aMathematics—Data processing _9813605
650			_aAlgorithms
650			_aComputer simulation _9713688
650			_aEngineering mathematics—Data processing
942			_2CC _n0 _cTEXL _hB311 R4
999			_c1432123 _d1432123