Symbolic Architecture Modlings Inspiration

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    Symbolic synchronized architectural Modlings Inspiration inside the

    mathematical modeling within economy and financial approaches

    Said Mchaalia, Susanne Weber, Jana Bechstein, Elizabeth Schneider and

    Myelin Sylvester

    (draft copy 28/08/2013)

    Figure 1: the main real operating dynamics across + tangent(x) for x in [2k.pi,5k.pi/2 - delta] and - tangent(x) for x [5k.pi/2 + delta, (2k+1).pi]

    Hence, figure 1 depicts the main real operating dynamics across +tangent(x) for x in [2k.pi, 5k.pi/2 - delta] and - tangent(x) for x [5k.pi/2 +delta, (2k+1).pi]

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    Figure 2: the main real operating dynamics across sequential digital datamodeling modulation mechanism

    Hence, figure 2 depicts the main real operating dynamics across sequentialdigital data modeling modulation mechanism.

    Symbolic synchronized architectural Moldings Inspiration inside themathematical modeling within economy and financial approaches

    Said Mchaalia, Susanne Weber, Jana Bechstein, Elizabeth Schneider andMyelin Sylvester

    (draft copy 28/08/2013)

    Figure 1: the main real operating dynamics across + tangent(x) for x in [2 k

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    pi, 5 k pi/2 - delta] and - tangent(x) for x [5 k pi/2 + delta, (2 k+1).pi]

    Hence, figure 1 depicts the main real operating dynamics across +tangent(x) for x in [2 k pi, 5 k.pi/2 - delta] and - tangent(x) for x [5 k.pi/2 +

    delta, (2 k+1).pi]

    Figure 2: the main real operating dynamics across sequential digital datamodeling modulation mechanism

    Hence, figure 2 depicts the main real operating dynamics across sequentialdigital data modeling modulation mechanism.

    The problem of economy and financial approach is the calculus across therange [a, b] of any corresponding amount quantity within the economyinvestigation and financial approaches. Therefore, within such an approach(economical financial mathematical processing), the definition of the center x= 0.5*(a+b) ( a inside IR, and b inside IR), whereby a is the inferior limit ofenvisage amount quantity and b is the superior limit of the envisage amountquantity. Furthermore, for a given value x within (inside) this range [a, b], thecomputing across [left sliding side of x, right sliding side of x] is the mosthuge hard hierarchy home of interest involving inside the economicalfinancial mathematical modeling's processing and dynamics mechanism ofthe central metric approaches within the general normal mathematical

    economical proceeding.

    Hence, the defined frequency within the economical financial mathematicalmodeling is the f = n/N, when n is the number of iteration to get a closerange [c, d] for this x such that c

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    Symbolic synchronized architectural Moldings Inspiration inside themathematical modeling within economy and financial approaches

    Said Mchaalia, Susanne Weber, Jana Bechstein, Elizabeth Schneider and

    Myelin Sylvester

    (draft copy 28/08/2013)

    Figure 1: the main real operating dynamics across + tangent(x) for x in [2 kpi, 5 k pi/2 - delta] and - tangent(x) for x [5 k pi/2 + delta, (2 k+1).pi]

    Hence, figure 1 depicts the main real operating dynamics across +tangent(x) for x in [2 k pi, 5 k.pi/2 - delta] and - tangent(x) for x [5 k.pi/2 +delta, (2 k+1).pi]

    Figure 2: the main real operating dynamics across sequential digital datamodeling modulation mechanism

    Hence, figure 2 depicts the main real operating dynamics across sequentialdigital data modeling modulation mechanism.

    The problem of economy and financial approach is the calculus across therange [a, b] of any corresponding amount quantity within the economyinvestigation and financial approaches. Therefore, within such an approach(economical financial mathematical processing), the definition of the center x= 0.5*(a+b) ( a inside IR, and b inside IR), whereby a is the inferior limit ofenvisage amount quantity and b is the superior limit of the envisage amountquantity. Furthermore, for a given value x within (inside) this range [a, b], thecomputing across [left sliding side of x, right sliding side of x] is the mosthuge hard hierarchy home of interest involving inside the economical

    financial mathematical modeling's processing and dynamics mechanism ofthe central metric approaches within the general normal mathematicaleconomical proceeding.

    Hence, the defined frequency within the economical financial mathematicalmodeling is the f = n/N, when n is the number of iteration to get a closerange [c, d] for this x such that c

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    mathematical modeling dynamics for any amount quantity type which is theage, the tallness, the tree, the money, the color, etc ...

    For a given example, when a = 60 and b = 80, the choosing x = 75, thus thenumber of iterations n is then 2 but the job scheduling is huge hard todetermine the exactly true N, when the following economical financial

    mathematical modeling is then processing hardly and complex when it is toassign new a = 0.5*(a+b) and new b = old be or vice verse new a = old a andnew b = 0.5*(a+b) in order to major ate and min orate the given x = 75 tooclose enough.

    Hence, the real operating mathematical modeling dynamics is to flow withinthe magnitude and amplitude variation level processing when this is defined

    just by Amp = b - a and the probable value for a possible given x inside theenvisage range of any corresponding amount quantity. Thus this range isthen range = [a, b], whereby the float values of a and b define the left and

    right variation of considering amount quantity within any economical financialmathematical proceeding and (price effect, quality effect) dynamicsmechanism processing for any field branch inside any around logicallanguage of just economy.

    Keywords:

    just economy, economical financial mathematical modeling, andmathematical modulation modeling across the logics around the sequential

    digital data transmission transportation

    Introduction:

    Hence, Claude Shannon did define the amount quantity central metricmeasurement dynamics to be within the human chaotic stochastic processingand then to measure and treat within the envisage processing the (probable,possible) dynamics within any possible logical language within either the justlanguage of economy of the mathematical use within either fuzzy-neuralapproaches or genetic-mimetic approaches such that "resolve the insertinginspiration of what if" when "at tangent(given) this is exactly true".

    Therefore, within the general mathematical modeling dynamics design insidethe economy and financial approaches, the main real operating thread task isto engender and envelop a safe secret approval sure customs.

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    I/ surround symbolic {(dark, clear), (digit, energy fashion flow), (safe approvalsecret custom, under consumer's seal)} synchronized dynamics modelinginvolving square[sin(2.pi.f.t + phi)] to modeling mathematically the generalnormal economical financial dynamics mechanism:

    Within the co-design of Claude Shannon p.Log(1/p) and Said Mchaaliasquare[sin(2.pi.f.t + phi = nil = 0)], the dynamics of frequency processingwithin the economical financial approach is now more enough within Hertzprinciples design, when the just language of logical frequency is thendepicting the whole entire design of illustration architectural economicalfinancial processing.

    p.Log(1/p) ~= r.square[sin(2.pi.f.t)], where r in IR+ to present the reduction oraugmentation within the amplitude and p the searching parameter thatshould be equal to p = ( b-x)/(b-a), where the envisage range [a, b] is thecorresponding [left limit, right limit] or [inferior limit, superior limit] of anycorresponding amount quantity's range such range of teenagers, land'smoney reserves, land's water sources, Earth's Sky's stars, etc ...

    Furthermore, the unknown x is inside [a, b]. Thus, the amplitude is thendefined to be amp = b-a and p = (b-x)/amp the probability of excitingunknown x inside the range [a, b] of envisage amount quantity to beprocessed and ran for discrete time t=old t + n.T, when the period T is theconstant value possible 25 nano seconds, the Said Mchaalia'ssquare[sin(2.pi.f.(old t + n.T)] should then almost equal to following

    assignment :

    square[sin(2.pi.f.(initial t + n.T)]= [(b-x)/amp].Log( [(b-x)/amp])

    where amp = b - a within any corresponding envisage range of consideringamount quantity.

    Thus, initial t could then be nil , the defined assignment should then be asfollows:

    square[sin(2.pi.f. n.T] = [(b-x)/(b-a)].Log( [(b-x)/(b-a)])

    which get up the probable frequency f as follows:

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    frequency f = -+arc sin[(1/A).sq rt ([(b-x)/(b-a)].Log( [(b-x)/(b-a)])]

    Thus, the - is used when the found value is negative and + when it is positive.The constant A is function of period T, the n integer for a given iterationnumber and 2.pi defined.

    A = 2.pi. n.T, by this way the computing around the general economicalfinancial processing is easy simple just follow in two (stairs scaling = n.T, andslice steps: for given n, the frequency and all other computing processingcould then be just logical language of job scheduling within this followingfunction forms:

    1. square[sin(2.pi.f. n.T] = [(b-x)/(b-a)].Log( [(b-x)/(b-a)])

    2. f = -+arc sin[(1/(2.pi.n.T)).sq rt ([(b-x)/(b-a)].Log( [(b-x)/(b-a)])]

    3. x in [a, b], T = constant and n a given integer to search within stoppingloop processing inside any job scheduling statements.

    4. the square[sin(2.pi.f. n.T] = binomial normal distribution:

    square[sin(2.pi.f. n.T] = R.exp(-B.X.Y) , where R, B, X, Y is to define by

    computing around the logical language of statistical dynamics mechanism

    Thanks to Professor Susanne Weber for Her intentional envisage encourageto give me the opportunity for square[sin(2.pi.f. n.T] = [(b-x)/(b-a)].Log( [(b-x)/(b-a)]) around logical language application across economy during thinkingup all about across logics of Claude Shannon. Not only the square[sin(2.pi.f.n.T] = [(b-x)/(b-a)].Log( [(b-x)/(b-a)]) could help improve the economy withinthe introduction of Hertz's principles as defined above, but also could searchto resolve many huge hard hierarchy homes within the mathematicalmodeling dynamics inside the economy and financial approaches.

    Thus, the huge hard potential intentional work of square[sin(2.pi.f. n.T] =[(b-x)/(b-a)].Log( [(b-x)/(b-a)]) or just square[sin(2.pi.f. n.T] to flow within thedream cream couple (digit, energy's fashion's flow) inside either the robustcontrol by Jana Bechstein ahead or within digital sequential data transmissiontransportation by Edwin Narorska, Heinrich Loele, Said Mchaalia, UweSchwiegelsohn, Elizabeth Schneider or others

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    Have many kisses to Professor Susanne Weber and and Jana Beschstein donot forget Anglia