Titlebook: Computational Quantum Mechanics; Joshua Izaac,Jingbo Wang Textbook 2018 Springer Nature Switzerland AG 2018 Numerical methods in quantum m

遠見

書目名稱Computational Quantum Mechanics影響因子(影響力)




書目名稱Computational Quantum Mechanics影響因子(影響力)學科排名




書目名稱Computational Quantum Mechanics網(wǎng)絡公開度




書目名稱Computational Quantum Mechanics網(wǎng)絡公開度學科排名




書目名稱Computational Quantum Mechanics被引頻次




書目名稱Computational Quantum Mechanics被引頻次學科排名




書目名稱Computational Quantum Mechanics年度引用




書目名稱Computational Quantum Mechanics年度引用學科排名




書目名稱Computational Quantum Mechanics讀者反饋




書目名稱Computational Quantum Mechanics讀者反饋學科排名

DIKE

Undergraduate Lecture Notes in Physicshttp://image.papertrans.cn/c/image/232930.jpg

動機

Esophagitis

Higher dimensions and basic techniquesral most physical systems that we would like to solve are not one-dimensional, but instead two- or three-dimensional. Unfortunately, the shooting or matching method, which we have applied successfully to one-dimensional problems, cannot be generalised to higher dimensions.

Militia

Time propagationwcased various techniques and methods to determine the energy eigenstates. This is an extremely useful approach when bound states need to be determined and investigated, and is used to analyse atoms, molecules, and other diverse structures.

patriot

Central potentialsour first approach when solving an unknown problem. We can avoid this bias, as we saw earlier, by using basis diagonalisation with a non-Cartesian basis set. However, there are some situations where spherical coordinates are a much better fit, and there is no better example than central potentials –– potentials that only depend on radial distance.

patriot

壓倒

Ossification

Maximum-Margin Fuzzy Classifiers,Differential equations describe a wide variety of physical phenomena, however not all systems of differential equations can be solved analytically. Thus, numeric approximations fill an important void, providing us with methods to model and analyse physical systems when analytic tools fall short.

Estrogen

Maximum-Margin Multilayer Neural Networks,Over the previous 5 chapters, we have gradually built up the numerical tools we need in order to solve the Schr?dinger equation in one dimension (finite-difference methods, root finding) as well as undertaking a crash course in all things Fortran and/or Python, depending on your programming language of choice.