000			03493cam a22003618i 4500
001			in00024447047
003			DLC
005			20260716152117.0
007			t|
008			260209s2026 enk b 001 0 eng
010			_a 2025048493
020			_a9781032836355 _qhbk
040			_aDLC _beng _erda _cDLC _dDLC-MRC _dDLC
042			_apcc
050	0	0	_aTA330 _b.H45 2026
100	1		_aHeidarzadeh, Mohammad _eauthor _4aut _4http://id.loc.gov/vocabulary/relators/aut _928990
245	1	0	_aApplied engineering mathematics with MATLAB and Python : _bfrom theory to practice / _cMohammad Heidarzadeh and Payam Khazaeinejad.
260			_aBoca Raton: _bCRC Press, _cc2026.
263			_a2604
300			_axi,311p.: _bill.; _c24 cm
504			_aIncludes bibliographical references and index.
505			_aMasic of MATLAB and python for engineers -- Matrices, vectors, and systems equations -- Limits , differentiation, and integration -- derivatives and differential equations -- Root finding , interpolation, and curve fitting -- Fourier series and trasforms -- Laplace transofrms and aplications -- Statistics and probabilities.
520			_a"This comprehensive new textbook bridges the gap between mathematical theory and practical engineering applications. Organized into eight chapters, it introduces programming skills in MATLAB and Python alongside essential mathematical concepts, progressing from basic computation and linear algebra to more advanced topics such as differential equations, Fourier series, and Laplace transforms. The book develops both mathematical reasoning and computational proficiency, equipping students with essential tools for modern engineering practice. It includes numerous MATLAB and Python scripts, presented within the text and available through a dedicated GitHub repository for hands-on learning and reproducibility. Each chapter concludes with problems-many with solutions-that reinforce understanding and encourage practical application. By integrating theory with coding exercises, the book ensures that students not only grasp key concepts but also gain the skills to apply them in real-world contexts. The book is intended for undergraduate engineering students in Civil, Mechanical, Electrical, and Chemical Engineering. It is particularly suited for modules in Engineering Mathematics, Programming, Computations, and Analytical Studies, and can also serve as a supplementary reference for postgraduate students seeking applied mathematical and computational skills. Instructors will find it a valuable teaching resource that integrates theory with practice, adaptable for both semester- and year-long courses. The GitHub repository can be accesses at https://github.com/prog871/CRC-book2025"-- Provided by publisher.
630	0	0	_aMATLAB _926177
650		0	_aEngineering mathematics _xComputer programs _928991
650		0	_aPython (Computer program language)
650		0	_aComputer programming _91521
700	1		_aKhazaeinejad, Payam, _d1981- _eauthor _4http://id.loc.gov/vocabulary/relators/aut _928992
776	1		_iOnline version _aHeidarzadeh, Mohammad, 1980- _tApplied engineering mathematics with MATLAB and Python _bFirst edition _dAbingdon, Oxon ; Boca Raton, FL : CRC Press, 2026 _z9781003511854 _w(DLC) 2025048494
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK _hTA330 _i.H45 2026 _kTA330 _m.H45 2026
999			_c10119 _d10119