Math651w17

Lecture notes and files for Math 651, Winter 2017 at University of Calgary

Notes on using syzygy are here: http://intro.syzygy.ca/

To clone this repo onto syzygy, enter the following two lines into a cell:

%%bash

git clone https://github.com/mlamoureux/Math651w17.git

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
img		img
3bodyproblem_v2.ipynb		3bodyproblem_v2.ipynb
DDEtest.ipynb		DDEtest.ipynb
Fowler_fig1_1_cropped.jpg		Fowler_fig1_1_cropped.jpg
FusionPaper.pdf		FusionPaper.pdf
GenFusion.png		GenFusion.png
GenFusionDevice.png		GenFusionDevice.png
Haar1.png		Haar1.png
Haar5.png		Haar5.png
HaarPack.png		HaarPack.png
Lec1Fig1.png		Lec1Fig1.png
Lec1_CourseInfo.ipynb		Lec1_CourseInfo.ipynb
Lec1_Getting2KnowYou.ipynb		Lec1_Getting2KnowYou.ipynb
Lec1_Git_Github.ipynb		Lec1_Git_Github.ipynb
Lec1_WaveSolver.ipynb		Lec1_WaveSolver.ipynb
Lec2_MathModeling.ipynb		Lec2_MathModeling.ipynb
Lec2_PhysicalModeling.ipynb		Lec2_PhysicalModeling.ipynb
Lec2_Teams.ipynb		Lec2_Teams.ipynb
Lec2_UsingOtherCode.ipynb		Lec2_UsingOtherCode.ipynb
Lec3.1_PhysicalModeling.ipynb		Lec3.1_PhysicalModeling.ipynb
Lec3_Asymptotics.ipynb		Lec3_Asymptotics.ipynb
Lec3_Fusion.ipynb		Lec3_Fusion.ipynb
Lec3_Stochastics.ipynb		Lec3_Stochastics.ipynb
Lec4.1_Asymptotics_part2.ipynb		Lec4.1_Asymptotics_part2.ipynb
Lec4.2_PathologicalScience.ipynb		Lec4.2_PathologicalScience.ipynb
Lec4.3_PerturbationMethods.ipynb		Lec4.3_PerturbationMethods.ipynb
Lec4.4_PianoAsymptotics.ipynb		Lec4.4_PianoAsymptotics.ipynb
Lec4.5_Stochastics.ipynb		Lec4.5_Stochastics.ipynb
Lec5.0_Plan_for_today.ipynb		Lec5.0_Plan_for_today.ipynb
Lec5.1_PianoAsymptotics.ipynb		Lec5.1_PianoAsymptotics.ipynb
Lec5.1_Projects.ipynb		Lec5.1_Projects.ipynb
Lec5.2_PicardMethod.ipynb		Lec5.2_PicardMethod.ipynb
Lec5.3_DSP.pdf		Lec5.3_DSP.pdf
Lec5.3_Fourier.ipynb		Lec5.3_Fourier.ipynb
Lec5.3_FourierNotes.pdf		Lec5.3_FourierNotes.pdf
Lec5.4_Wavelets.ipynb		Lec5.4_Wavelets.ipynb
Lec5.4_Wavelets.pdf		Lec5.4_Wavelets.pdf
Lec5.5_Wavelets_Julia.ipynb		Lec5.5_Wavelets_Julia.ipynb
Lec5.6_ExampleCode.ipynb		Lec5.6_ExampleCode.ipynb
Lec6.0_Plan_for_today.ipynb		Lec6.0_Plan_for_today.ipynb
Lec6.1_Wavelets.ipynb		Lec6.1_Wavelets.ipynb
Lec6.2_Projects.ipynb		Lec6.2_Projects.ipynb
Lec6.3_ExampleCode.ipynb		Lec6.3_ExampleCode.ipynb
Lec6.4_StochasticProcess.ipynb		Lec6.4_StochasticProcess.ipynb
Lec6.5_SampleProject.ipynb		Lec6.5_SampleProject.ipynb
Lec8.1_MachineLearning.ipynb		Lec8.1_MachineLearning.ipynb
Lec9.1_qbsolv.ipynb		Lec9.1_qbsolv.ipynb
Lec9.2_SampleProject.ipynb		Lec9.2_SampleProject.ipynb
Lec9_Report.pdf		Lec9_Report.pdf
README.md		README.md
Readings.md		Readings.md
Stochastic Process Algorithms.ipynb		Stochastic Process Algorithms.ipynb
Stochtest.ipynb		Stochtest.ipynb
TestOne.txt		TestOne.txt
Untitled.ipynb		Untitled.ipynb
dde_negativefeedback.png		dde_negativefeedback.png
dde_sin.png		dde_sin.png
pywavelets.pdf		pywavelets.pdf
test_MyDrawer.html		test_MyDrawer.html

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