项目作者: CompPhysics

项目描述 :
Advanced course in Computational Physics, with an emphasis on computational quantum mechanics, machine learning and quantum computing
高级语言:
项目地址: git://github.com/CompPhysics/ComputationalPhysics2.git
创建时间: 2015-01-07T20:38:21Z
项目社区:https://github.com/CompPhysics/ComputationalPhysics2

开源协议:Creative Commons Zero v1.0 Universal

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EvaluationGrading_1648321369701.pdf
Hudson_Bay_data_1648321370094.pdf
MLrbm_1648321370134.pdf
RBM_1648321370176.pdf
figN2_1648321370223.pdf
figN6_1648321370304.pdf
NotesApril8_1648321371272.pdf
NotesFeb11_1648321371522.pdf
NotesFeb18_1648321371806.pdf
NotesFeb25_1648321372150.pdf
NotesFeb4_1648321372497.pdf
NotesJan14_1648321372935.pdf
NotesJan21_1648321373149.pdf
NotesJan28_1648321373432.pdf
NotesMarch11_1648321373745.pdf
NotesMarch18_1648321374083.pdf
NotesMarch4_1648321374283.pdf
Flybjerg_1648321375724.pdf
PhysRevB.71.241103_1648321375829.pdf
PhysRevE.79.036707_1648321375938.pdf
QuantumML_1648321376029.pdf
StochasticMethods_1648321376427.pdf
bv_cvxslides_1648321376679.pdf
lectures2015_1648321376913.pdf
painless-conjugate-gradient_1648321377268.pdf
rapport_1648321380004.pdf
project1_2015_1648321380492.pdf
project2_2015_1648321380540.pdf
project3_2015_1648321380581.pdf
project1_2016_1648321380628.pdf
project2_2016_1648321380695.pdf
Project1_1648321380752.pdf
Project2CC_1648321380796.pdf
Project2VMC_1648321380883.pdf
Project1_1648321380947.pdf
Project2CC_1648321381032.pdf
Project2ML_1648321381089.pdf
Project2VMC_1648321381155.pdf
Project1_1648321381238.pdf
Project2CC_1648321381289.pdf
Project2ML_1648321381331.pdf
Project2TDHF_1648321381460.pdf
Project2VMC_1648321381508.pdf
Project1_1648321381584.pdf
Project2ML_1648321381654.pdf
Project2VMC_1648321381711.pdf
Project1_1648321381775.pdf
Project2ML_1648321381885.pdf
Project2QML_1648321381966.pdf
Project2TDHF_1648321382030.pdf
Project2VMC_1648321382118.pdf
EvaluationGrading_1648321382200.pdf
Hudson_Bay_data_1648321382362.pdf
MLrbm_1648321382378.pdf
RBM_1648321382394.pdf
figN2_1648321382440.pdf
figN6_1648321382455.pdf
Hudson_Bay_data_1648321382756.pdf
MLrbm_1648321382771.pdf
RBM_1648321382788.pdf
figN2_1648321382831.pdf
figN6_1648321382848.pdf
NeuralNet-print_1648321382921.pdf
RBM_1648321383072.pdf
RBMlectureBeamer_1648321383123.pdf
basicMB-beamer-handouts2x3_1648321383235.pdf
basicMB-beamer_1648321383437.pdf
basicMB-minted_1648321383508.pdf
basicMB-minted_1648321383765.pdf
basicMB-print_1648321383844.pdf
cg-print_1648321384065.pdf
hfock-print_1648321384437.pdf
intro-minted_1648321384763.pdf
intro-print_1648321384854.pdf
Hudson_Bay_data_1648321384935.pdf
MLrbm_1648321384950.pdf
RBM_1648321384992.pdf
figN2_1648321385035.pdf
figN6_1648321385086.pdf
Hudson_Bay_data_1648321385245.pdf
MLrbm_1648321385281.pdf
RBM_1648321385313.pdf
figN2_1648321385356.pdf
figN6_1648321385371.pdf
notebook2-print_1648321385484.pdf
para-print_1648321385844.pdf
statanalysis-minted_1648321386039.pdf
statanalysis-print_1648321386109.pdf
vmc-print_1648321386472.pdf
week1-beamer-handouts2x3_1648321386634.pdf
week1-beamer_1648321386757.pdf
week1-print_1648321386827.pdf
week1_1648321386907.pdf
week10-beamer-handouts2x3_1648321387109.pdf
week10-beamer_1648321387193.pdf
week10_1648321387264.pdf
week11-beamer_1648321387472.pdf
week11_1648321387527.pdf
week13-beamer_1648321387674.pdf
week13_1648321387754.pdf