The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the non-trivial correlations encoded in the exponential com- plexity of the many-body wave function. Here we demonstrate that systematic machine learning of the wave function can reduce this complexity to a tractable computational form, for some notable cases of physical interest. We introduce a variational repre- sentation of quantum states based on artificial neural networks with variable number of hidden neurons. A reinforcement-learning scheme is then demonstrated, capable of either finding the ground-state or describing the unitary time evolution of complex interacting quantum systems. We show that this approach achieves very high accuracy in the description of equilibrium and dynamical properties of prototypical interacting spins models in both one and two dimensions, thus offering a new powerful tool to solve the quantum many-body problem.

Solving Vehicle Routing Problems Using Constraint Programming and Metaheuristics.pdf

这是一全英文的，解压后需要用djvu阅读器才能打开

该程序使用一个 dirishlet 和一个 newman 边界条件求解 iD 泊松方程。 在区间(a,b)用Gauss Seidel法求解。 %二阶导数函数为 f1.m 您可以根据需要进行更改。

解决VRPTW的强化学习

ADTs, Data Structures, and Problem Solving with C++(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

数据结构与问题求解C++版（英文第2版--Mark Allen Weiss

求解微分方程的数值解法，adomain分解方法，adomain写的

MATLAB is a very powerful software package that has many built-in tools for solving problems and developing graphical illustrations. 高清彩色版 非常适合入门

用反向传播方法解决全波非线性逆散射问题 该Matlab代码用于通过BPS用卷积神经网络解决逆散射问题。 版权所有:copyright:2019，新加坡国立大学，准威。 请先下载matconvnet 1.0-beta23： ://www.vlfeat.org/matconvnet/记住将其压缩。 要使用mex，您还需要安装Visual Studio。 （1）Matlab代码用于在Z.Wei和X.Chen，“全波非线性逆散射问题的深度学习方案”中实施反向传播方案（BPS），IEEE地理科学与遥感学报，57（ 4），第1849-1860页，2019年。此Matlab代码用于通过BPS解决卷积神经网络的逆散射问题，该方法由准威（weizhun1010 @ gmail。com）编写。 如有任何疑问，请随时联系。 仅需要CPU，您可以轻松地将其调整为GPU版本或Python版本。 （2）训练后，您可以通过运行“