000			02604cam a2200289 i 4500
001			22669472
005			20250519123006.0
008			220625s2022 nyu b 001 0 eng
010			_a 2022016219
020			_a9781940380131
040			_aCSL _beng _cCSL
041			_2eng _aeng
084			_aB0bE:14 R2 Carc _qCSL
100	1		_aStraub, John Edward, _eauthor. _9808881
245	1	0	_aMathematical methods for molecular science : _bTheory and applications, visualizations and narrative
250			_a1
260			_aNew York : _bUniversity Science Books, _c2022.
300			_a534 pages: _b ill col _c; 26 cm
504			_aIncludes bibliographical references (pages 529-530) and index.
505	0		_aFunctions and coordinate systems -- Complex numbers and logarithms -- Differentiation in one and many dimensions -- Scalars, vectors, and vector algebra -- Scalar and vector operators -- Extremizing functions of many variables -- Sequences, series, and expansions -- Integration in one and many dimensions -- Fundamentals of probability and statistics -- Ordinary differential equations -- More ordinary differential equations -- Partial differential equations -- Fourier series, Fourier transforms, and harmonic analysis -- Matrices and matrix algebra -- Eigenvalues and eigenvectors -- Geometric transforms and molecular symmetry.
520			_a"Mastery of key ideas in quantum mechanics requires knowledge of operators, differential equations, multidimensional integration, vector algebra, and functions of complex numbers. Statistical thermodynamics and kinetics require facility with partial differentiation, extremizing functions subject to constraints, and knowledge of differential equations. However, a treatment of these topics through specialized courses offered by mathematics departments is prohibitively time consuming for many molecular science majors in the fields of chemistry, biochemistry, biophysics, and materials science. Mathematical Methods for Molecular Science is designed to support a one-semester course that builds on the introductory calculus sequence and covers critical topics in multivariate calculus, ordinary and partial differential equations, and linear algebra"-- _cProvided by publisher.
650		0	_aMolecular biology _xMathematics. _9808882
650		0	_aBiomathematics. _9808883
650		0	_aCalculus. _9808884
776	0	8	_iOnline version: _aStraub, John Edward. _tMathematical methods for molecular science. _bFirst edition _dNew York : University Science Books, 2022
942			_2CC _n0 _cTEXL _e1 _hB0bE:14 R2 Carc
999			_c1428806 _d1428806