MAT 4310 Class Notes

Index of /~wmcb/Class/4310/ClassNotes

[ICO]NameDescription
[ ]Adaptive_Simpsons_Rule.pdf 
[ ]Eratosthenes.py ⇐ Python program
[ ]EratosthenesList.py ⇐ Python program
[ ]FinalExam.pdf 
[ ]First_v2.py ⇐ Python program
[TXT]GK7_15.py ⇐ Gauss-Kronrod 7-15 program
[ ]GaussElimPivoting.pdf 
[ ]GaussKronrod7_15.pdf ⇐ Gauss-Kronrod 7-15 nodes and weights
[TXT]Gaussian Elim Scaled Partial Pivoting.mw ⇐ Maple worksheet
[TXT]GaussianNodesWeights20.txt ⇐ Gaussian-20 nodes and weights
[ ]LinearProgrammingNotes.pdf 
[ ]MAT4310_TopicsList.pdf 
[ ]NewtonsMethod.pdf ⇐ Newton's method error bound and proof
[ ]Num Analysis History by Benzi.pdf 
[ ]PortablePython_2.7.3.2.exe ⇐ Portable Python installer (Windows only)
[TXT]Pred Prey Eg.mw ⇐ Maple worksheet
[ ]Python_Intro.pdf ⇐ Python class notes
[TXT]RK4 and Euler Eg.mw ⇐ Maple worksheet
[TXT]RK45.mw ⇐ Maple worksheet
[TXT]RK45_Adaptive.mw ⇐ Maple worksheet
[ ]RK45_Adaptive.pdf 
[TXT]RecursiveAdaptiveSimpson.mw ⇐ Maple worksheet
[ ]RecursiveAdaptiveSimpsonIntegration.py ⇐ Python program
[TXT]Romberg.py ⇐ Python program
[ ]Romberg_Program_Listings.pdf 
[ ]SecantMethod.pdf ⇐ Secant method error bound and proof
[ ]Stability.pdf 
[TXT]TaylorDEs.mw ⇐ Maple worksheet
[ ]TaylorDEs.pdf ⇐ Taylor's theorem and proof
[ ]TaylorTwoVariables.pdf ⇐ Taylor's theorem and proof
[ ]TaylorsThm.pdf ⇐ Taylor's theorem and proof
[ ]Test1.pdf 
[ ]Test2.pdf 
[ ]Topics_Test1_Summary.pdf 
[ ]Zombie Diffusion.pdf 
[ ]python_tutorial.pdf ⇐ Intro to Python
(Click on a file name above to view/download it.)
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