000			03853cam a2200517Mi 4500
001			on1013732312
003			OCoLC
005			20230512132414.0
006			m d
007			cr |||||||||||
008			171117t20182018enka ob 001 0 eng d
020			_a0128123710 _q(ebk)
020			_a9780128123713
020			_z9780128122532
020			_z0128122536
035			_a1497573
035			_a(OCoLC)1013732312 _z(OCoLC)1006380899 _z(OCoLC)1006612542 _z(OCoLC)1007371669
037			_a1042426 _bMIL
040			_aIDEBK _beng _erda _cIDEBK _dOCLCO _dOCLCF _dYDX _dN$T _dEBLCP _dOPELS _dMERER _dUPM
049			_aMAIN
050		4	_aTK9145
072		7	_aTEC _x009070 _2bisacsh
082	0	4	_a621.48 _223
100	1		_aMcclarren, Ryan G., _eauthor.
245	1	0	_aComputational nuclear engineering and radiological science using python / _cRyan G. Mcclarren.
264		1	_aLondon, England : _bAcademic Press, _c2018.
300			_a1 online resource (462 pages) : _billustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aGetting Started in Python -- Digging Deeper Into Python -- Functions, Scoping, Recursion, and Other Miscellany -- NumPy and Matplotlib -- Dictionaries and Functions as Arguments -- Testing and Debugging -- Gaussian Elimination -- LU Factorization and Banded Matrices -- Iterative Methods for Linear Systems -- Interpolation -- Curve Fitting -- Closed Root Finding Methods -- Open Root Finding Methods -- Finite Difference Derivative Approximations -- Numerical Integration With Newton–Cotes Formulas -- Gauss Quadrature and Multi-dimensional Integrals -- Initial Value Problems -- One-Group Diffusion Equation -- One-Group k-Eigenvalue Problems -- Two-Group k-Eigenvalue Problems -- Introduction to Monte Carlo Methods -- Monte Carlo Eigenvalue Calculations
520			_aComputational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering.
590			_aMaster record variable field(s) change: 072
650		0	_aNuclear engineering.
650		0	_aRadiology.
650		0	_aPython (Computer program language)
650		7	_aNuclear engineering. _2fast _0(OCoLC)fst01040032
650		7	_aPython (Computer program language) _2fast _0(OCoLC)fst01084736
650		7	_aRadiology. _2fast _0(OCoLC)fst01088271
650		7	_aTECHNOLOGY & ENGINEERING / Mechanical. _2bisacsh
655		4	_aElectronic books.
776	0	8	_iPrint version: _z9780128122532 _z0128122536 _w(OCoLC)979562306
850			_aKCNL
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1497573
942			_cEBK _2nlm
999			_c35480 _d35480