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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031024290
024	7		_a10.1007/978-3-031-02429-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC20 _b2021 EB
100	1		_aChowdhury, Sujaul _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686392
245	1	0	_aMonte Carlo Methods : _bA Hands-On Computational Introduction Utilizing Excel _cby Sujaul Chowdhury
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (X, 123 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Mathematics & Statistics _x1938-1751
505	0		_aIntroduction -- Evaluation of Definite Integrals Using the Monte Carlo Method -- Variational Monte Carlo Method Applied to the Ground State of a Simple Harmonic Oscillator -- Variational Monte Carlo Method Applied to the Ground State of a Hydrogen Atom -- Concluding Remarks -- Bibliography -- Author's Biography.
520			_aThis book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but wish to know how they work. All treatments have been done as much manually as is practicable. The treatments are deliberately manual to let the readers get the real feel of how Monte Carlo Methods work. Definite integrals of a total of five functions ( ), namely Sin( ), Cos( ), e , loge( ), and 1/(1+ 2), have been evaluated using constant, linear, Gaussian, and exponential probability density functions ( ). It is shown that results agree with known exact values better if ( ) is proportional to ( ). Deviation from the proportionality results in worse agreement. This book is on Monte Carlo Methods which are numerical methods for Computational Physics. These are parts of a syllabus for undergraduate students of Mathematics and Physics for the course titled "Computational Physics." Need for the book: Besides the three referenced books, this is the only book that teaches how basic Monte Carlo methods work. This book is much more explicit and easier to follow than the three referenced books. The two chapters on the Variational Quantum Monte Carlo method are additional contributions of the book. Pedagogical features: After a thorough acquaintance with background knowledge in Chapter 1, five thoroughly worked out examples on how to carry out Monte Carlo integration is included in Chapter 2. Moreover, the book contains two chapters on the Variational Quantum Monte Carlo method applied to a simple harmonic oscillator and a hydrogen atom. The book is a good read; it is intended to make readers adept at using the method. The book is intended to aid in hands-on learning of the Monte Carlo methods.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9139231 _aFísica matemática
650		7	_2embne _9137996 _aFísica _xProceso de datos
650		7	_2embne _9685328 _aHojas electrónicas
776	0	8	_iPrinted edition: _z9783031002755
776	0	8	_iPrinted edition: _z9783031013010
776	0	8	_iPrinted edition: _z9783031035579
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02429-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _esc _zSI