Computational Physics - M Jensen Episode 2 Part 6 pptx

Computational Physics - M. Jensen Episode 2 Part 6 pptx

Computational Physics - M. Jensen Episode 2 Part 6 pptx

... yout [ 0 ] ; 14 .6. PHYSICS EXAMPLES 26 9 V L C R Figure 14.3: Simple RLC circuit with a voltage source . 14 .6 .2 Damping of harmonic oscillations and external forces Most oscillatory motion in nature ... , hh , errmax ; double yout [ 2] , y_h [ 2] , y _m [2] , y1 [ 2] , y2 [ 2 ] , delt a [ 2] , ys cal [ 2 ]; const double eps =1.0e 6; const double s a fet y =0.9; const double...

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Computational Physics - M. Jensen Episode 1 Part 6 doc

Computational Physics - M. Jensen Episode 1 Part 6 doc

... which results in (6 .21 ) and with Eq. (6. 19) we obtain (6 .22 ) meaning . 6. 4 Newton-Raphson’s method Perhaps the most celebrated of all one-dimensional root-finding routines is Newton’s method, also ... transferring 6. 6 Roots of polynomials in preparation 6. 6.1 Polynomials division in preparation 6. 6 .2 Root finding by Newton-Raphson’s method in preparation 6. 6.3 Root finding b...

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Computational Physics - M. Jensen Episode 2 Part 1 ppsx

Computational Physics - M. Jensen Episode 2 Part 1 ppsx

... mc sampling mc_sampling ( m ax_tr ials , number_walks , move_probability , walk_cumulative , walk2_cumulative ) ; / / P ri nt out r e s u l t s ou tput ( m ax_trials , number_walks , walk_cumulative ... extends from number_walks to +number_walks programs/chap10/program2.cpp / 1 dim random walk program . A walker makes se ver al t r i a l s ste p s with a given number of walks per t r i a...

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Computational Physics - M. Jensen Episode 2 Part 2 doc

Computational Physics - M. Jensen Episode 2 Part 2 doc

... to recompile the program when larger systems are considered. 11 .2. 1 Program for the two-dimensional Ising Model programs/chap11/program1.cpp / Program to solve the two dimensional I sin g model The ... conditions. For our two-dimensional lattice we obtain the following partition function (11 .22 ) and mean energy (11 .23 ) 20 4 CHAPTER 12. QUANTUM MONTE CARLO METHODS which can be rewritten...

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Computational Physics - M. Jensen Episode 2 Part 3 pps

Computational Physics - M. Jensen Episode 2 Part 3 pps

... 0.00000E+00 1.10000E+00 1. 0 26 21E+00 5.95716E- 02 7.71 8 26 E-04 1 .20 000E+00 1.0 866 7E+00 2. 23389E-01 1.49 462 E-03 1.30000E+00 1.17 168 E+00 4.78446E-01 2. 18734E-03 1.40000E+00 1 . 26 374E+00 8.55 524 E-01 2. 924 93E-03 1.50000E+00 ... 1.50495E+00 2. 327 82E+00 4. 824 75E-03 7.00000E-01 1 .23 264 E+00 9. 824 79E-01 3.13445E-03 8.00000E-01 1.08007E+00 3.44857E-01 1.85703E-03 9.000...

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Computational Physics - M. Jensen Episode 2 Part 4 ppsx

Computational Physics - M. Jensen Episode 2 Part 4 ppsx

... 8. 568 442E+00 100 9.974893E-01 2. 987442E+00 4. 96 727 7E+00 6. 9 369 13E+00 8.89 62 8 2E+00 20 0 9.993715E-01 2. 9 968 64E+00 4.991877E+00 6. 984335E+00 8.974301E+00 400 9.998 464 E-01 2. 99 921 9E+00 4.997976E+00 ... with nm eV nm [eV] 86 42 0 -2 -4 -6 -8 0 -1 0 -2 0 -3 0 -4 0 -5 0 -6 0 Figure 12. 5: Plot of for =0.1 and 0.4 nm. Units along the -axis ar...

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Computational Physics - M. Jensen Episode 2 Part 5 pdf

Computational Physics - M. Jensen Episode 2 Part 5 pdf

... value problems and present some of the more commonly used methods for solving such problems numerically. The physical systems which are discussed range from a simple cooling problem to the physics of ... In the previous physics project on bound states in momentum space, we obtained the SE in momentum space by Eq. (13.48). was the relative momentum between the two particles. A partial wave...

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Computational Physics - M. Jensen Episode 2 Part 7 pot

Computational Physics - M. Jensen Episode 2 Part 7 pot

... eigenvalues until Eq. (15 .23 ) is satisfied. 14.9. PHYSICS PROJECT: STUDIES OF NEUTRON STARS 29 1 Quantity Units MeVfm MeVfm fm MeVc Kg= MeVc 1 Kg = MeVc m MeV c 197. 327 MeVfm list here the units of ... the original partial differential equation as a set of matrix-vector multiplications ( 16. 36) where is the initial vector at time defined by the initial value . 16 .2. 2 Implicit sche...

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Computational Physics - M. Jensen Episode 2 Part 8 docx

Computational Physics - M. Jensen Episode 2 Part 8 docx

... matrix-vector form as ( 16. 48) where the vector is the same as defined in the implicit case while the matrix is ( 16. 49) 16 .2. 5 Non-linear terms and implementation of the Crank-Nicoloson scheme 16. 3 ... transition 17.1.1 The histogram method 17.1 .2 Multi-histogram method 17 .2 Renormalization group approach 319 324 CHAPTER 19. DIFFUSION MONTE CARLO METHODS This derivation shares ma...

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Computational Physics - M. Jensen Episode 2 Part 9 pdf

Computational Physics - M. Jensen Episode 2 Part 9 pdf

... Introduction to Computer Simulation Methods: Applica- tions to Physical Systems, (Addison-Wesley, 19 96) . [11] M. Metcalf and J. Reid, The F90 Programming Language, (Oxford University Press, 19 96) . 333 ... Acton, Numerical Methods that work, (Harper and Row, 1970). [6] R.H. Landau and M. J. Paez, Computational Physics (Wiley, 1997). [7] E.W. Schmid, G. Spitz and W. Lösch, Theoreti...

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