restart;

# Examples from the MAP_t / Ph_t / inf and [ MAP_t / Ph_t / inf ]^k paper of Nelson and Taaffe

# Updated 6/24/05

# These routines for the single-node case provide the essential computational engines

read(`MapPhInfMoments7.txt`):

read(`MapPhInfNumericEmpty7.txt`):

read(`MapPhInfSojourn7.txt`):

read(`MapPhInfNumericInit7.txt`):

read(`MapPhInfSymbolic7.txt`):

Warning, the protected names norm and trace have been redefined and unprotected

Warning, the name changecoords has been redefined

# These routines handle the single arrival source, multiple queue case

read(`MapPhInfNetMoments7.txt`):

read(`MapPhInfNetNumeric7.txt`):

read(`MapPhInfNetSymbolic7.txt`):

read(`MapPhInfNetSojourn7.txt`):

# These are the most general multiclass routines; and are what the user would typically call

read(`MapPhInfMCNSojourn7.txt`):

read(`MapPhInfMCNMoments7.txt`):

read(`MapPhInfMCNSymbolic7.txt`):

# Enter the number of nodes

k := 1;

NiM+SSJrRzYiIiIi

# Enter the number of absorbing states in the arrival-process MAP

v_A := 2;

NiM+SSR2X0FHNiIiIiM=

# Enter the number of non-absorbing states in the MAP

m_A := 8;

NiM+SSRtX0FHNiIiIik=

# Enter the MAP matrix whose dimension is (m_A + va) X (m_A + va), where m_A is the number of non-absorbing states in the MAP

A := matrix(m_A + v_A, m_A + v_A, [0, .3, .4, .3, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1/2+1/5*cos(evalf(Pi)*t/4), 1/2-1/5*cos(evalf(Pi)*t/4), 0, 0, 0, 0, .2, 0, .8, 0, 0, 0, 0, 0, 0, 0, 0, 1/4-1/4*cos(evalf(Pi)*t/3), 0, 3/4+1/4*cos(evalf(Pi)*t/3), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .6, .4, 0, 0, 0, 0, .5, 0, 0, .5, 0, 0, 0, 0, 0, 0, 0., 1., 0, 0, 0, 0, .25, .25, .25, .25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .25, .25, .25, .25, 0, 0 ]);

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

# Enter the rate associated with each of the non-absorbing states in the MAP

lambda := vector(m_A, [ 7,9,7,9,7,9+5*cos(evalf(Pi)*t/2),7,9]);

NiM+SSdsYW1iZGFHNiItSSd2ZWN0b3JHNiRJKnByb3RlY3RlZEdGKUkoX3N5c2xpYkdGJTYjNyoiIigiIipGLUYuRi0sJkYuIiIiLUkkY29zR0YoNiMsJEkidEdGJSQiK0ZqenE6ISIqIiImRi1GLg==

# Enter the B matrix. The dimension of the B matrix is a square matix of size m_B + 1, where m_B is the number of non-absorbing states in the service process

B := vector(k,[]);

NiM+SSJCRzYiLUkmYXJyYXlHSSpwcm90ZWN0ZWRHRig2JDsiIiJGKzci

# Create the B matrix

# First enter the number of non-absorbing states in the first node's service process

m_B := 3;

NiM+SSRtX0JHNiIiIiQ=

# Now create the B_1 matrix itself

B[1] := matrix(m_B + 1, m_B + 1, [.0 , 6/10, 1/10, 3/10, 1/4-1/4*sin(2*evalf(Pi)*t/7) , 1/4, 0, 2/4+1/4*sin(2*evalf(Pi)*t/7), 4/7, 3/7, 0, 0, 2/5 - 1/5 * cos(5*evalf(Pi)*t/11) , 3/5 + 1/5 * cos(5*evalf(Pi)*t/11), 0, 0 ]);;

NiM+JkkiQkc2IjYjIiIiLUknbWF0cml4RzYkSSpwcm90ZWN0ZWRHRixJKF9zeXNsaWJHRiY2IzcmNyYkIiIhRjIjIiIkIiImI0YoIiM1I0Y0Rjc3JiwmI0YoIiIlRigtSSRzaW5HRis2IywkSSJ0R0YmJCIrNiF6ZigqKSEjNSMhIiJGPEY7RjIsJiNGKCIiI0YoRj1GOzcmI0Y8IiIoI0Y0RkxGMkYyNyYsJiNGSUY1RigtSSRjb3NHRis2IywkRkEkIitobSp6VSIhIiojRkZGNSwmRjNGKEZRI0YoRjVGMkYy

# Enter the set of service-rate vectors. There is a service-rate vector for each of the k nodes and the dimension of the node-i service-rate vector is m_B_i

mu := vector(k, [ [ 2, 3.5+3*cos(5*evalf(Pi)*t/7), 1.5 ] ] );

NiM+SSNtdUc2Ii1JJ3ZlY3Rvckc2JEkqcHJvdGVjdGVkR0YpSShfc3lzbGliR0YlNiM3IzclIiIjLCYkIiNOISIiIiIiLUkkY29zR0YoNiMsJEkidEdGJSQiK2BaKlJDIyEiKiIiJCQiIzpGMg==

# Enter the routing matrix

Pr := matrix(k+1,k+1, [ 0,1, 1,0 ]);

NiM+SSNQckc2Ii1JJ21hdHJpeEc2JEkqcHJvdGVjdGVkR0YpSShfc3lzbGliR0YlNiM3JDckIiIhIiIiNyRGL0Yu

# Plot the mean and variance of number in the network, and in each node, from time 0 to 10

mplots := MapPhInfNetMoments(A, v_A, lambda, B[1], mu[1], k, Pr, [1], 0, 10):

mplots[1];

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

mplots[2];

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

# Set the time for computing cdf and moments for W_t arrivalT := 5.;

NiM+SSlhcnJpdmFsVEc2IiQiIiYiIiE=

sojourn := MapPhInfNetSojourn(A, v_A, lambda, B[1], mu[1], k, Pr, arrivalT):

mean

sojourn[1];

NiMkIjN1OmAlUUJpTzoiISM8

variance

sojourn[2];

NiMkIitBU2NKNyEiKg==

cdf

sojourn[3];

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

# Enter the number of nodes in the network

k := 2;

NiM+SSJrRzYiIiIj

# Enter the number of absorbing states in the arrival-process MAP

v_A := 2;

NiM+SSR2X0FHNiIiIiM=

# Enter the number of non-absorbing states in the MAP

m_A := 8;

NiM+SSRtX0FHNiIiIik=

# Enter the MAP matrix whose dimension is (m_A + va) X (m_A + va), where m_A is the number of non-absorbing states in the MAP

# Enter the rate associated with each of the non-absorbing states in the MAP

lambda := vector(m_A, [ 7,9,7,9,7,9+5*cos(evalf(Pi)*t/2),7,9]);

NiM+SSdsYW1iZGFHNiItSSd2ZWN0b3JHNiRJKnByb3RlY3RlZEdGKUkoX3N5c2xpYkdGJTYjNyoiIigiIipGLUYuRi0sJkYuIiIiLUkkY29zR0YoNiMsJEkidEdGJSQiK0ZqenE6ISIqIiImRi1GLg==

# Enter the set of B matrices. The number of B matrices is equal to the number of nodes, K. The dimension of a B matrix is a square matix of size m_B_i + 1, where m_B_i is the number of non-absorbing states in the service process

B := vector(k);

NiM+SSJCRzYiLUkmYXJyYXlHSSpwcm90ZWN0ZWRHRig2JDsiIiIiIiM3Ig==

# Create the B matrix for node 1

# First enter the number of non-absorbing states in the first node's service process

m_B_1 := 3;

NiM+SSZtX0JfMUc2IiIiJA==

# Now create the B_1 matrix itself

B[1] := matrix(m_B_1 + 1, m_B_1 + 1, [.0 , 6/10, 1/10, 3/10, 1/4-1/4*sin(2*evalf(Pi)*t/7) , 1/4, 0, 2/4+1/4*sin(2*evalf(Pi)*t/7), 4/7, 3/7, 0, 0, 2/5 - 1/5 * cos(5*evalf(Pi)*t/11) , 3/5 + 1/5 * cos(5*evalf(Pi)*t/11), 0, 0 ]);;

# Create the B matrix for node 2

# First enter the number of non-absorbing states in the first node's service process

m_B_2 := 2;

NiM+SSZtX0JfMkc2IiIiIw==

B[2] := matrix(m_B_2 + 1 , m_B_2 + 1, [ 0, 1, 0, 1/3+1/3*sin(2*evalf(Pi)*t/5), 1/3, 1/3-1/3*sin(2*evalf(Pi)*t/5), 2/3, 1/3, 0 ]);

NiM+JkkiQkc2IjYjIiIjLUknbWF0cml4RzYkSSpwcm90ZWN0ZWRHRixJKF9zeXNsaWJHRiY2IzclNyUiIiEiIiJGMTclLCYjRjIiIiRGMi1JJHNpbkdGKzYjLCRJInRHRiYkIitpcWpjNyEiKkY1RjUsJkY1RjJGNyMhIiJGNjclI0YoRjZGNUYx

# Enter the set of service-rate vectors. There is a service-rate vector for each of the k nodes and the dimension of the node-i service-rate vector is m_B_i

mu2 := vector(k, [ [ 2, 3.5+3*cos(5*evalf(Pi)*t/7), 1.5 ], [1,1] ] );

NiM+SSRtdTJHNiItSSd2ZWN0b3JHNiRJKnByb3RlY3RlZEdGKUkoX3N5c2xpYkdGJTYjNyQ3JSIiIywmJCIjTiEiIiIiIi1JJGNvc0dGKDYjLCRJInRHRiUkIitgWipSQyMhIioiIiQkIiM6RjI3JEYzRjM=

# Enter the Markov routing matrix. The dimension is k+1 X k+1 (the extra node represents the source/sink of the network)

Pr := matrix(k+1,k+1, [1/2 - 1/3 * sin(3 * evalf(Pi) *t/4) , 1/2 + 1/3 * sin(3 * evalf(Pi) * t/4) , 0 , 1/6 , 0 , 5/6, 7/10 - 2/10 * cos(2*evalf(Pi)*t/3) , 3/10 + 2/10 * cos(2*evalf(Pi)*t/3) , 0 ]);

NiM+SSNQckc2Ii1JJ21hdHJpeEc2JEkqcHJvdGVjdGVkR0YpSShfc3lzbGliR0YlNiM3JTclLCYjIiIiIiIjRjAtSSRzaW5HRig2IywkSSJ0R0YlJCIrIVwlPmNCISIqIyEiIiIiJCwmRi9GMEYyI0YwRjwiIiE3JSNGMCIiJ0Y/IyIiJkZCNyUsJiMiIigiIzVGMC1JJGNvc0dGKDYjLCRGNiQiKy5eUiU0I0Y5I0Y7RkQsJiNGPEZJRjBGSiNGMEZERj8=

# Plot the mean and variance of number in the network, and in each node, from time 0 to 10

mplots := MapPhInfNetMoments(A, v_A, lambda, B, mu2, k, Pr, [1], 0, 10):

mplots[1];

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

mplots := MapPhInfNetMoments(A, v_A, lambda, B, mu2, k, Pr, [2], 0, 10):

mplots[1];

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

mplots := MapPhInfNetMoments(A, v_A, lambda, B, mu2, k, Pr, [1,2], 0, 10):

Print out time-dependent mean number in network and at each node

mplots[1];

LSUlUExPVEc2Ji0lJ0NVUlZFU0c2JVgsSSlhbnl0aGluZ0dJKnByb3RlY3RlZEdGKjYiRitbZ2wnISUiISEjX3EiUyIjMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAzRkNBMUY1OEQwRkFDNjVDM0ZDQjdEQzE5Q0I4QUNBOTNGREExRjU4RDBGQUM2NUMzRkUzMDk0QzgwOEM5QkEyM0ZFMzk3ODI5Q0JDMTRDNTNGRjBEMTFDRkY2OTQ5M0UzRkVBMUY1OEQwRkFDNjVDM0ZGOEExRUQ4MEVGN0EzMTNGRjA1Mzk3ODI5Q0JCRjk0MDAwNDEwRDJENTU0NENCM0ZGMzk3ODI5Q0JDMTU3OTQwMDQxQTBDMzFERjA4RDIzRkY2REI2REI2REI2RDM2NDAwN0M5NjBGMzgwNzRDNDNGRkExRjU4RDBGQUM2QjY0MDBCNDQ4OURCRjlCRDFFM0ZGRDYzNDNFQjFBMUU3MzQwMEU4RTE5MzRDRDc1RTY0MDAwNTM5NzgyOUNCQkY5NDAxMERENzRBQjYxRDI5NDQwMDFGNThEMEZBQzY4Qjk0MDEyNzY2MEQ2RDk3NzVGNDAwMzk3ODI5Q0JDMTQ5ODQwMTQxRTI2M0FENzM3RTY0MDA1Mzk3ODI5Q0JDMTU4NDAxNUQwRTVCRDZERTFFRjQwMDZEQjZEQjZEQjZEMzY0MDE3N0I5MDkzNDkwNjk0NDAwODdENjM0M0VCMTlGNjQwMTkwOEMyQ0FBNEEzNjU0MDBBMUY1OEQwRkFDNkI2NDAxQTZCOEY2MDdERTE4QzQwMEJDMTRFNUUwQTcyOTQ0MDFCQTIzOTc0NkY2QzNENDAwRDYzNDNFQjFBMUY1NDQwMUNCNEM5NTIwRTJFRkQ0MDBGMDUzOTc4MjlDQjMzNDAxREIyNTNEQ0IxQTExRjQwMTA1Mzk3ODI5Q0JCRjk0MDFFQUQwNDk4MTRFNjYyNDAxMTI0OTI0OTI0OTI1OTQwMUZCNTQwMTY0MDUzNjc0MDExRjU4RDBGQUM2ODQ5NDAyMDZBRUVENzNBRjdGNzQwMTJDNjg3RDYzNDNFQTg0MDIxMDk3Q0U5N0FGNkQxNDAxMzk3ODI5Q0JDMTQ5ODQwMjFCNTQzMjJCM0NCQTM0MDE0Njg3RDYzNDNFQUY4NDAyMjZBRDJEMTM3OEJFNDQwMTUzOTc4MjlDQkMxNTg0MDIzMjVDMTMzQUUxQUJFNDAxNjBBNzJGMDUzOTc0NzQwMjNFMkFGODVBNUQyRjE0MDE2REI2REI2REI2REE3NDAyNEExMTcwODg3QkY5QzQwMTdBQzY4N0Q2MzQzOTY0MDI1NjQzM0JDNjUzN0JGNDAxODdENjM0M0VCMTlGNjQwMjYzMjMzMzVDRTIxOTE0MDE5NEU1RTBBNzJGMDU2NDAyNzEwNjE2QzVCNjkzRDQwMUExRjU4RDBGQUM2NDU0MDI3RkQ3MkZCMzNCNTEwNDAxQUYwNTM5NzgyOUNBNTQwMjhFRjJFRjY4MjAwOTQ0MDFCQzE0RTVFMEE3Mjk0NDAyOUQ2QURGNDEwRUFEMzQwMUM5MjQ5MjQ5MjQ4RjQ0MDJBQTY5MUZCQUQ5NUY4NDAxRDYzNDNFQjFBMUY1NDQwMkI1NUMyMzg3RUY5QjU0MDFFMzQzRUIxQTFGNTQ0NDAyQkRGMERFOUJBRDRCNTQwMUYwNTM5NzgyOUNCQTM0MDJDM0Y2Q0VCNEE0RjczNDAxRkQ2MzQzRUIxQTE5MzQwMkM3MzI4ODZENTQ2OEY0MDIwNTM5NzgyOUNCQkY5NDAyQzc0ODhDRTE1QTQxNTQwMjBCQzE0RTVFMEE3Mjk0MDJDM0ZCQzc3NDczOUM2NDAyMTI0OTI0OTI0OTIyMTQwMkJEOEVFMUZBMDgyMDA0MDIxOEQwRkFDNjg3RDUxNDAyQjRENjJGMjUxMThDRDQwMjFGNThEMEZBQzY4NDk0MDJBQUZBNUJGOUVEMzZFNDAyMjVFMEE3MkYwNTM3ODQwMkExMzNGRjUxRDIyMTc0MDIyQzY4N0Q2MzQzRUE4NDAyOTg5RDVGMTM5RDFGNDQwMjMyRjA1Mzk3ODI5QTA0MDI5MjFBODExOTQyMkMwNDAyMzk3ODI5Q0JDMTREMDQwMjhFNUIyQTE2MjhFOTE0MDI0MDAwMDAwMDAwMDAwNDAyOERGMzA0MjA3MUY3QlgsRilGK0YrW2dsJyElIiEhI19xIlMiIzAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM0ZDQTFGNThEMEZBQzY1QzNGQjhENTcwRjIzNkNBQjYzRkRBMUY1OEQwRkFDNjVDM0ZDRjU5MjdCRUMwRjdGQTNGRTM5NzgyOUNCQzE0QzUzRkRBNzQxNkZBN0EyRjU2M0ZFQTFGNThEMEZBQzY1QzNGRTM5RDRFMDI2N0YzNTgzRkYwNTM5NzgyOUNCQkY5M0ZFQkEwQTE5QTJGRTQzNzNGRjM5NzgyOUNCQzE1NzkzRkYyQzQzODVCOUUzNDE5M0ZGNkRCNkRCNkRCNkQzNjNGRjg0OThDNEE0NDhBRDEzRkZBMUY1OEQwRkFDNkI2M0ZGRDlFQzY5MDFBQ0RDRjNGRkQ2MzQzRUIxQTFFNzM0MDAxMUVGNjkyQTYyN0NFNDAwMDUzOTc4MjlDQkJGOTQwMDMwMDVENzlDNjhERjM0MDAxRjU4RDBGQUM2OEI5NDAwNDQwM0Y0QUE5ODUwMjQwMDM5NzgyOUNCQzE0OTg0MDA0N0U4QzczRjFBMUZBNDAwNTM5NzgyOUNCQzE1ODQwMDM5RkZFQjQyQkIxQTA0MDA2REI2REI2REI2RDM2NDAwMjEyNEFBMkNEMjFCMDQwMDg3RDYzNDNFQjE5RjY0MDAwODdFNTM5MkYzRjcwNDAwQTFGNThEMEZBQzZCNjNGRkYyQ0IwRUFDNDBFMzQ0MDBCQzE0RTVFMEE3Mjk0M0ZGRjMzNzg5ODc4QkY1NTQwMEQ2MzQzRUIxQTFGNTQ0MDAwQzVGQTc3NEM3RDA5NDAwRjA1Mzk3ODI5Q0IzMzQwMDMyQTJBM0JDMDRCMEI0MDEwNTM5NzgyOUNCQkY5NDAwNjk5MzFBRTYxNUE5MjQwMTEyNDkyNDkyNDkyNTk0MDBBQTQyOTJFRjJCMEZCNDAxMUY1OEQwRkFDNjg0OTQwMEVDQjBBQUI4NTE3OTQ0MDEyQzY4N0Q2MzQzRUE4NDAxMTUyQUM3MUQxRDlCMDQwMTM5NzgyOUNCQzE0OTg0MDEyREZCQUJBRTM1OTI5NDAxNDY4N0Q2MzQzRUFGODQwMTNDMjlEMjVEQjhFNEM0MDE1Mzk3ODI5Q0JDMTU4NDAxM0M4RDM3MjdEQzI3QjQwMTYwQTcyRjA1Mzk3NDc0MDEyRkZFRUY3NURDRTExNDAxNkRCNkRCNkRCNkRBNzQwMTFBRDk5MTQ4NEY4Mjg0MDE3QUM2ODdENjM0Mzk2NDAxMDJFNTBFRTQ0OTBGQjQwMTg3RDYzNDNFQjE5RjY0MDBEQjZBNzlCMUVFQkQ5NDAxOTRFNUUwQTcyRjA1NjQwMEJGQUYzQTY5OTIyRDg0MDFBMUY1OEQwRkFDNjQ1NDAwQjhDNUFFRTlCM0ZGNTQwMUFGMDUzOTc4MjlDQTU0MDBDOEU5NTA4M0Y0MjMwNDAxQkMxNEU1RTBBNzI5NDQwMEVENzY5NUQxRDgzN0M0MDFDOTI0OTI0OTI0OEY0NDAxMEZFMjcyMjU5RTBBNTQwMUQ2MzQzRUIxQTFGNTQ0MDEyQkM2RDcyMDYwNkI1NDAxRTM0M0VCMUExRjU0NDQwMTQ0N0I3REI1MTcwRTQ0MDFGMDUzOTc4MjlDQkEzNDAxNEYxNjNFNjlDNThGRDQwMUZENjM0M0VCMUExOTM0MDEzRUY0MTA4OTdCQkJFNDAyMDUzOTc4MjlDQkJGOTQwMTEyRUI4RDAxREM2QUU0MDIwQkMxNEU1RTBBNzI5NDAwQjY4ODQ5MUY5NERBODQwMjEyNDkyNDkyNDkyMjE0MDA1NkIzQkNDOTNFOTlFNDAyMThEMEZBQzY4N0Q1MTQwMDE3M0M2ODg3N0Q2ODE0MDIxRjU4RDBGQUM2ODQ5M0ZGRUY2NTQwMTdFRUI5MDQwMjI1RTBBNzJGMDUzNzgzRkZFNzFGNjIxRTBCMEU1NDAyMkM2ODdENjM0M0VBODQwMDA2MzQ2QTBFRTk3NDI0MDIzMkYwNTM5NzgyOUEwNDAwMjk1NUVERkY0RjczRDQwMjM5NzgyOUNCQzE0RDA0MDA1NTEzQzE5QkMyMTY0NDAyNDAwMDAwMDAwMDAwMDQwMDgzMjEzQjdEOTA0NURYLEYpRitGK1tnbCchJSIhISNfcSJTIiMwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDNGQ0ExRjU4RDBGQUM2NUMzRkJFMjYxMjQ3M0E4RDdDM0ZEQTFGNThEMEZBQzY1QzNGRDY2NjA1MjFCOEJCNDgzRkUzOTc4MjlDQkMxNEM1M0ZFNDY4MkU4MTk1N0MzQTNGRUExRjU4RDBGQUM2NUMzRkVEQTY4Q0ZGNzcwMEIwM0ZGMDUzOTc4MjlDQkJGOTNGRjJCMUM5OEQ5Mjk3MjEzRkYzOTc4MjlDQkMxNTc5M0ZGNTZGRTAwODFGREQ4QjNGRjZEQjZEQjZEQjZEMzYzRkY3NDkzNTlDQkM1RUI3M0ZGQTFGNThEMEZBQzZCNjNGRjhFQTREMjdEOEFDNkUzRkZENjM0M0VCMUExRTczM0ZGQURFNDU0NDRFOUE2RTQwMDA1Mzk3ODI5Q0JCRjkzRkZENzUxN0I5RkEyRTZCNDAwMUY1OEQwRkFDNjhCOTQwMDBBQzgyNjMwOTY5QkM0MDAzOTc4MjlDQkMxNDk4NDAwM0JEQzAwMUJDQ0REMjQwMDUzOTc4MjlDQkMxNTg0MDA4MDFDQ0M2QjAxMjNFNDAwNkRCNkRCNkRCNkQzNjQwMENFNEQ2ODNDNEVCNzc0MDA4N0Q2MzQzRUIxOUY2NDAxMEM0RDAyRTBEMDNBRDQwMEExRjU4RDBGQUM2QjY0MDEyQTA2MzI1Q0NEREZGNDAwQkMxNEU1RTBBNzI5NDQwMTNENTVCNEU1MTNDNjg0MDBENjM0M0VCMUExRjU0NDAxNDUxQ0MxNjY3RjA3OTQwMEYwNTM5NzgyOUNCMzM0MDE0MUQzRUJFRDE3Qjk5NDAxMDUzOTc4MjlDQkJGOTQwMTM2MDZCQzBFNDM5MTk0MDExMjQ5MjQ5MjQ5MjU5NDAxMjYzMkI3RUM2RkFFQTQwMTFGNThEMEZBQzY4NDk0MDExNzA1ODU4QjM2NDIzNDAxMkM2ODdENjM0M0VBODQwMTBDMDRENjEyNDEzRjI0MDEzOTc4MjlDQkMxNDk4NDAxMDhBQ0I4QTg0M0UxQzQwMTQ2ODdENjM0M0VBRjg0MDExMTMwODdDOTM4OTdENDAxNTM5NzgyOUNCQzE1ODQwMTI4MkFFRjRERTczMDE0MDE2MEE3MkYwNTM5NzQ3NDAxNEM1NzAxM0VERDdEMjQwMTZEQjZEQjZEQjZEQTc0MDE3OTQ5NEZDOEE4OEQyNDAxN0FDNjg3RDYzNDM5NjQwMUE5QTE2OEE4NURFRjM0MDE4N0Q2MzQzRUIxOUY2NDAxRDg5MTI5RTBDQ0QzNDQwMTk0RTVFMEE3MkYwNTY0MDIwMTFBNDgyQjUyMDRFNDAxQTFGNThEMEZBQzY0NTQwMjExQTVDM0Y4Q0U0QTI0MDFBRjA1Mzk3ODI5Q0E1NDAyMUNCODlCNDcyMkZEMDQwMUJDMTRFNUUwQTcyOTQ0MDIyMjBEMzlDQzk4OTRCNDAxQzkyNDkyNDkyNDhGNDQwMjIyNzdFNkE4MEE1MzU0MDFENjM0M0VCMUExRjU0NDAyMUY3OEI3RjdCRjcwMzQwMUUzNDNFQjFBMUY1NDQ0MDIxQkIzMUZDMTIxQzBBNDAxRjA1Mzk3ODI5Q0JBMzQwMjFDNkJBRjdGQzIzOUU0MDFGRDYzNDNFQjFBMTkzNDAyMjdCODgwMjg5Njk5MTQwMjA1Mzk3ODI5Q0JCRjk0MDIzREQyQzY2MDZDMEY3NDAyMEJDMTRFNUUwQTcyOTQwMjU2NTlCNTJDOEU3M0U0MDIxMjQ5MjQ5MjQ5MjIxNDAyNjdFMUYyQzdCODZCNzQwMjE4RDBGQUM2ODdENTE0MDI2RjA3MTUwMzMyMzJENDAyMUY1OEQwRkFDNjg0OTQwMjZEMERCM0Y2RUY1OEI0MDIyNUUwQTcyRjA1Mzc4NDAyNjQ1MDEzMEUxMEMzMzQwMjJDNjg3RDYzNDNFQTg0MDI1NzEwNDQ4RkUyQzVCNDAyMzJGMDUzOTc4MjlBMDQwMjQ3QzUwNTk5NkUzOUY0MDIzOTc4MjlDQkMxNEQwNDAyMzkxNjM5QUYzODUxRTQwMjQwMDAwMDAwMDAwMDA0MDIyRDJBQjU0MTBERTYzLSUrQVhFU0xBQkVMU0c2JFEidEYrUSNFTkYrLSUmQ09MT1JHNiYlJFJHQkckIiIhISIiRjdGNy0lJUZPTlRHNiQlKkhFTFZFVElDQUciIzU=

Print out time-dependent variance of the number in network and at each node

mplots[2];

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

# Set the time for computing cdf and moments for W_t arrivalT := 5.;

NiM+SSlhcnJpdmFsVEc2IiQiIiYiIiE=

sojourn := MapPhInfNetSojourn(A, v_A, lambda, B, mu2, k, Pr, arrivalT):

mean

sojourn[1];

NiMkIjNIVjxtKio0M0p1ISM8

variance

sojourn[2];

NiMkIitrVWJvSiEiKQ==

cdf

sojourn[3];

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

Finally, display the moment differential equations for this model (uncomment the next two lines to see them)

Enter the number of different arrival-source populations

#R := 2;

#MapPhInfMCNSymbolic(A, v_A, lambda, R, B, mu2, k, Pr):

# Now try an example with two sources of arrivals.

R := 2;

NiM+SSJSRzYiIiIj

k := 2;

NiM+SSJrRzYiIiIj

v_A := [2,2];

NiM+SSR2X0FHNiI3JCIiI0Yn

m_A := vector(2): m_A := [8,8];

NiM+SSRtX0FHNiI3JCIiKUYn

A := vector(2):

A[1] := matrix(m_A[1] + v_A[1], m_A[1] + v_A[1], [0, .3, .4, .3, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1/2+1/5*cos(evalf(Pi)*t/4), 1/2-1/5*cos(evalf(Pi)*t/4), 0, 0, 0, 0, .2, 0, .8, 0, 0, 0, 0, 0, 0, 0, 0, 1/4-1/4*cos(evalf(Pi)*t/3), 0, 3/4+1/4*cos(evalf(Pi)*t/3), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .6, .4, 0, 0, 0, 0, .5, 0, 0, .5, 0, 0, 0, 0, 0, 0, 0., 1., 0, 0, 0, 0, .25, .25, .25, .25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .25, .25, .25, .25, 0, 0 ]);

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

A[2] := matrix(m_A[2] + v_A[2], m_A[2] + v_A[2], [0, .3, .4, .3, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1/2+1/5*cos(evalf(Pi)*t/4), 1/2-1/5*cos(evalf(Pi)*t/4), 0, 0, 0, 0, .2, 0, .8, 0, 0, 0, 0, 0, 0, 0, 0, 1/4-1/4*cos(evalf(Pi)*t/3), 0, 3/4+1/4*cos(evalf(Pi)*t/3), 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .6, .4, 0, 0, 0, 0, .5, 0, 0, .5, 0, 0, 0, 0, 0, 0, 0., 1., 0, 0, 0, 0, .25, .25, .25, .25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .25, .25, .25, .25, 0, 0 ]);

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

lambda := vector(R, [[ 7,9,7,9,7,9+5*cos(evalf(Pi)*t/2),7,9], [ 7,9,7,9,7,9+5*cos(evalf(Pi)*t/2),7,9]]);

NiM+SSdsYW1iZGFHNiItSSd2ZWN0b3JHNiRJKnByb3RlY3RlZEdGKUkoX3N5c2xpYkdGJTYjNyQ3KiIiKCIiKkYuRi9GLiwmRi8iIiItSSRjb3NHRig2IywkSSJ0R0YlJCIrRmp6cTohIioiIiZGLkYvRi0=

Pr2 := vector(R):

Pr2[1] := matrix(k+1,k+1, [.3+.3*cos(3*evalf(Pi)*t/2), .2, .5-.3*cos(3*evalf(Pi)*t/2), .3, .4, .3, .5 -.5*sin(5*evalf(Pi*t)/11), .5 +.5*sin(5*evalf(Pi*t)/11), 0]);

NiM+JkkkUHIyRzYiNiMiIiItSSdtYXRyaXhHNiRJKnByb3RlY3RlZEdGLEkoX3N5c2xpYkdGJjYjNyU3JSwmJCIiJCEiIkYoLUkkY29zR0YrNiMsJEkidEdGJiQiKyIpKilRN1ohIipGMiQiIiNGNCwmJCIiJkY0RihGNSQhIiRGNDclRjIkIiIlRjRGMjclLCZGQEYoLUkkc2luR0YrNiMsJEY5JCIraG0qelUiRjwkISImRjQsJkZARihGSUZAIiIh

# Pr2[1] := matrix(k+1,k+1, # [.3 +.3*cos(3*evalf(Pi)*t/2), .2, .5-.3*cos(3*evalf(Pi)*t/2), # .3, .4, .3, # .5, .5, 0]);

# Create the B matrix for node 1

# First enter the number of non-absorbing states in the first node's service process

m_B_1 := 3;

NiM+SSZtX0JfMUc2IiIiJA==

# Now create the B_1 matrix itself

# Create the B matrix for node 2

# First enter the number of non-absorbing states in the first node's service process

m_B_2 := 2;

NiM+SSZtX0JfMkc2IiIiIw==

B[2] := matrix(m_B_2 + 1 , m_B_2 + 1, [ 0, 1, 0, 1/3+1/3*sin(2*evalf(Pi)*t/5), 1/3, 1/3-1/3*sin(2*evalf(Pi)*t/5), 2/3, 1/3, 0 ]);

NiM+JkkiQkc2IjYjIiIjLUknbWF0cml4RzYkSSpwcm90ZWN0ZWRHRixJKF9zeXNsaWJHRiY2IzclNyUiIiEiIiJGMTclLCYjRjIiIiRGMi1JJHNpbkdGKzYjLCRJInRHRiYkIitpcWpjNyEiKkY1RjUsJkY1RjJGNyMhIiJGNjclI0YoRjZGNUYx

# Enter the set of service-rate vectors. There is a service-rate vector for each of the k nodes and the dimension of the node-i service-rate vector is m_B_i

mu2 := vector(k, [ [ 2, 3.5+3*cos(5*evalf(Pi)*t/7), 1.5 ], [1,1] ] );

NiM+SSRtdTJHNiItSSd2ZWN0b3JHNiRJKnByb3RlY3RlZEdGKUkoX3N5c2xpYkdGJTYjNyQ3JSIiIywmJCIjTiEiIiIiIi1JJGNvc0dGKDYjLCRJInRHRiUkIitgWipSQyMhIioiIiQkIiM6RjI3JEYzRjM=

Pr2[2] := matrix(k+1,k+1, [ .3 - .3*sin(7*evalf(Pi)*t/11), .4, .3 + .3*sin(7*evalf(Pi)*t/11), .5 - .5*sin(2*evalf(Pi)*t/3) , .5 + .5*sin(2*evalf(Pi)*t/3), 0, .7, .2, .1]);

NiM+JkkkUHIyRzYiNiMiIiMtSSdtYXRyaXhHNiRJKnByb3RlY3RlZEdGLEkoX3N5c2xpYkdGJjYjNyU3JSwmJCIiJCEiIiIiIi1JJHNpbkdGKzYjLCRJInRHRiYkIitEYD4qKj4hIiokISIkRjQkIiIlRjQsJkYyRjVGNkYyNyUsJiQiIiZGNEY1LUY3NiMsJEY6JCIrLl5SJTQjRj0kISImRjQsJkZFRjVGR0ZFIiIhNyUkIiIoRjQkRihGNCRGNUY0

mplots := MapPhInfMCNMoments(A, v_A, lambda, R, B, mu2, k, Pr2, [1,2], 0, 100); with(plots): mplots[1][1];

NiM+SSdtcGxvdHNHNiJGJA==

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

mplots[1][2];

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

mplots[2][1];

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

mplots[2][2];

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

arrivalT := 4;

mplots := MapPhInfMCNSojourn(A, v_A, lambda, R, B, mu2, k, Pr2, arrivalT);

NiM+SSlhcnJpdmFsVEc2IiIiJQ==

NiM+SSdtcGxvdHNHNiJJKXNvam91cm5zR0Yl

mplots[1][1];

NiMkIjNReCt5OnYjPjAnISM8

mplots[1][2];

NiMkIitGWWgnbyYhIik=

mplots[1][3];

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

mplots[2][1];

NiMkIjNuMGJSSil6WiQ9ISM7

mplots[2][2];

NiMkIithdjRTXiEiKA==

mplots[2][3];

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

# MapPhInfMCNSymbolic(A, v_A, lambda, R, B, mu2, k, Pr2)[2]: