Maga0, m,na=m / 2n/ 2∑ ∑i= 0 j=0ai,jx2i+ 2 j1xm−2i2xn−2j3( m − 2i+ 2)( m − 2i+ 1)− a(2i+ 2 j)(2i+ 2 j − 1)a 0 = 1;,0( n − 2 j + 2)( n − 2 j + 1)(2i+ 2 j)(2i+ 2 j − 1)i , j = − i−1,ji,j−1(23).Mag1, m,na 0 = 1;a,0i,ja=m / 2n/ 2∑ ∑i= 0 j=0ai,jx2i+2 j+11xm−2i2xn−2j3( m − 2i+ 2)( m − 2i+ 1)− a(2i+ 2 j)(2i+ 2 j + 1)= − i−1,ji,j−1( n − 2 j + 2)( n − 2 j + 1)(2i+ 2 j)(2i+ 2 j + 1)If it is necessary to solve the more general equation ofthe form:∂ 2 2 2u u u+ b∂ + d∂ = 0,∂x ∂x ∂ x2 2 21 2 3where b,d the arbitrary constants. Then recurrentexpressions will be the follow<strong>in</strong>g:Mag0, m,n=m / 2n/ 2∑ ∑i= 0 j=0ai,jx2i+2 j1xm−2i2xn−2j3a 0 ,0 = 1;( m − 2i+ 2)( m − 2i+ 1)ai,j = −ai−1,jb − ai,j−(2i+ 2 j)(2i+ 2 j − 1)Mag1, m,n=m / 2n/ 2∑ ∑i= 0 j=0ai,jx2i+2 j+11xm−2i2x1n−2j3a 0 ,0 = 1;( m − 2i+ 2)( m − 2i+ 1)ai,j = −ai−1,jb − ai,j−(2i+ 2 j)(2i+ 2 j + 1)1( n − 2 j + 2)( n − 2 j + 1)d(2i+ 2 j)(2i+ 2 j − 1)( n − 2 j + 2)( n − 2 j + 1)d(2i+ 2 j)(2i+ 2 j + 1)It is possible to read on the particular and fundamentalsolutions of equation (20) <strong>in</strong> (Полянин 2001).However, there are <strong>in</strong>dicated only some separatesolutions, which are similar to those given <strong>in</strong> thearticle:u = Ax + Bx + Cx + D,1 2 3u = Ax + Bx − ( A + B)x + Cx x + Dx x + Ex x2 2 21 2 3 1 2 1 3 2 3where A, B, C, D,E the arbitrary constants.Annual <strong>Proceed<strong>in</strong>gs</strong> of Vidzeme University College “ICTE <strong>in</strong> Regional Development”, 2006142
SOLUTION OF THE THREE-DIMENSIONALEQUATION OF HELMHOLTZNow let us solve the three-dimensional equation ofHelmholtz:2 2 2∂ u ∂ u ∂ u+ + + wu = 0(24)∂x ∂x ∂ x2 2 21 2 3The general solution of this differential equation issearched by us<strong>in</strong>g the special functions of Mary fromthree variables (they are obta<strong>in</strong>ed by the method ofdual substitution):∞∞∑ ∑ ( m n m n m n m n ) ,( , , ) = ⋅ ( , , ) + ⋅ ( , , )u x x x a Mag x x x a Mag x x x1 2 3 0, , 0, , 1 2 3 1, , 1, , 1 2 3k = 0 n= 0m= k −nwhere a 0,m , n and a 1,m , n the free coefficients,and the function 0, m, n ( 1, 2,3 )( , , )1, m, n 1 2 3the follow<strong>in</strong>g formulas:Mag x x x andMag x x x are determ<strong>in</strong>ed fromm / 2 n / 2(−1)p!x 21=1x x3Ge(p,wx )Mag 0, m,n m!n!∑ ∑(25)i!j!(2p)!(m − 2i)!(n − 2 j)!i= 0 j=0p2 pm−2<strong>in</strong>−2jm / 2n/ 2 ( −1)p!x 2+ 1=1x x3Ge(p 1, wx )Mag 1, m,n m!n!∑ ∑,i!j!(2p + 1)!( m − 2i)!(n − 2 j)!i= 0 j=0p2 p+1m−2<strong>in</strong>−2jThe recurrent form of record for threewhere p = i + jmeasurements of Helmholtz's equation is:.m / 2n/ 2Mag0 , , = ∑ ∑ a , x x2x Ge(i + j,wx1)a 0 ,0 =am n1;i= 0 j=0ij2i+2 j1m−2<strong>in</strong>−2j3( m − 2i+ 2)( m − 2i+ 1)− a(2i+ 2 j)(2i+ 2 j − 1)2( n − 2 j + 2)( n − 2 j + 1)(2i+ 2 j)(2i+ 2 j − 1)i , j = −ai−1,ji,j−1(26).m / 2n/ 2Mag1 , , = ∑ ∑ a , x x2x Ge(i + j + 1, wx1)a 0 ,0 =m n1;i= 0 j=0ij2i+2 j+11m−2<strong>in</strong>−2j3( m − 2i+ 2)( m − 2i+ 1)− a(2i+ 2 j)(2i+ 2 j + 1)( n − 2 j + 2)( n − 2 j + 1)(2i+ 2 j)(2i+ 2 j + 1)i , j = −ai−1,ji,j−1.a222Annual <strong>Proceed<strong>in</strong>gs</strong> of Vidzeme University College “ICTE <strong>in</strong> Regional Development”, 2006143
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ISBN 9984-633-03-9Annual Proceeding
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“Development of Creative Human -
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TABLE OF CONTENTSINTELLIGENT SYSTEM
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INTELLIGENT SYSTEM FOR LEARNERS’
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LEARNER 1GROUP OF HUMAN AGENTSLEARN
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QuantityQuantityFigure 6. Distribut
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LEARNERStructure of theconcept mapL
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WEB-BASED INTELLIGENT TUTORING SYST
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materials to be presented and which
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INFORMATION TECHNOLOGIES AND E-LEAR
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correspondence with the course aim
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projects and through IT. Hence, it
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APPLICATION OF MODELING METHODS IN
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can support configuration managemen
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The EKD is one of the Enterprise mo
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CHANGES TO TRAINING AND PERSPECTIVE
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or an end, yet none of these attitu
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make decisions. It cannot be volunt
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logs), data and video conferencing
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Ability to follow user’s multi-ta
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CONCLUSIONSEDUSA method gives us a
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in successful SD. Given this situat
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SPATIAL INFORMATIONFor the visualis
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MOBILE TECHNOLOGIES USE IN SERVICES
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learning environment (Learning Mana
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ago only some curricula on Logistic
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The Web-based version can be access
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Web-portal, which incorporates diff
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DO INTELLIGENT OBJECTS AUTOMATICALL
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Table 1. Examples for introducing R
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workable influencing of the process
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are handed over to the objects and
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• Basic processes, such as wareho
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THE ECR E-COACH: A VIRTUAL COACHING
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participating in the workshops and
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• Assessment modules enable indiv
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with pictures and illustrated graph
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ECR Question Banknumber category su
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educational programme that follows
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DEVELOPMENT OF WEB BASED GRAVITY MO
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These results of a model require a
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CONCLUSIONSThe main goal of work ha
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dimension and included within any o
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• Resources sharing by providing
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Pursuant to the guidelines of elect
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tariffs of regulated services have
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INFORMATION TECHNOLOGY FOR MOTIVATI
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difficult to predict when and for w
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- Page 107 and 108: • The data obtained by the resear
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- Page 111 and 112: departures for 1995 are taken from
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- Page 115 and 116: 140120maximumworldminimum1008060402
- Page 117 and 118: would be a promising extension. Cur
- Page 119 and 120: AN OVERVIEW OF THE AGENT − BASED
- Page 121 and 122: Suitability for social system simul
- Page 123 and 124: 6. MASONDescription:MASON is a fast
- Page 125 and 126: Suitability for social system simul
- Page 127 and 128: could be bad particularly when over
- Page 129 and 130: (for 10 repeat &| CCar[]->runfor);P
- Page 131 and 132: • Streaming audio• Collaboratio
- Page 133 and 134: NECESSITY OF NEW LAYERED APPROACH T
- Page 135 and 136: Up to now, there has only been limi
- Page 137 and 138: aaaaa6= −aa2,1 = − a0,3226= −
- Page 139 and 140: ∂ u∂x∂ u∂y2 2+ b = 02 2wher
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- Page 143 and 144: 0,10,20,30,4( )Mag x y y Ge wx2, =
- Page 145 and 146: Example 1. To understand better the
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- Page 151 and 152: Mag1, m , m , m1 2 3= mm1 m2m32 2 2
- Page 153 and 154: MagMag0, m , m , m1 2 31, m , m , m
- Page 155: CONCLUSIONSThe basic content of thi