You are currently browsing the monthly archive for August 2009.
10 dimensional hyperspace
THE THEORY OF EVERYTHING
by Henryk Szubinski
definitions of progressive theoretical length:
horizontal stability:
.jpg)

———————————————————1to input a 10D
———————————————————2 into a increasing order
x1———————10 D————————–x 10 the 10D approach to x
10 results in the differencial of x dx where the lim x = 10 D hyperspace as the x value approcahes 1 unified distribution , here defined as deccelleration.
10x / m =10 D/p
mpc/h =31.25
10D.p (m)=10 x c
D p.m=x.c
running two sequences where the data on the 1 =
formatted extensions of the rapid data on a 1/10 = D response of 10 Dimensions
where the progressive function: as data on rapid multi usage in the process to deccellerate the function by comparatives with large and larger x values:
Statistical coupling energy
measures how a perturbation of substance distribution at one site in an MSA effects the substance distribution at another site. For example, consider a multiple sequence alignment with sites (or columns) a through z, where each site has some distribution of amino acids. At position i, 60% of the sequences have a valine and the remaining 40% of sequences have a leucine, at position j the distribution is 40% isoleucine, 40% histidine and 20% methionine, k has an average distribution (the 20 substances are present at roughly the same frequencies seen in all substance bits), and l has 80% histidine, 20% valine. Since positions i, j and l have an substance deccelleration of substance distribution different from the mean distribution observed in all bits, they are said to have some degree of conservation.

A HOLOMORPHIC 10 DIMENSIONAL HYPESPACE representation
In statistical coupling analysis, the conservation (ΔGstat) at each site (i) is defined as:
.[2]
Here, Pix describes the probability of finding amino acid x at position i, and is defined by a function in binomial form as follows:
,
where N is 100, nx is the percentage of sequences with residue x (e.g. methionine) at position i, and px corresponds to the approximate distribution of amino acid x in all positions among all sequenced proteins. The summation runs over all 20 amino acids. After ΔGistat is computed, the conservation for position i in a subalignment produced after a perturbation of amino acid distribution at j (ΔGi | δjstat) is taken. Statistical coupling energy, denoted ΔΔGi, jstat, is simply the difference between these two values. That is:
, or, more commonly, 
Statistical coupling energy is often systematically calculated between a fixed, perturbated position, and all other positions in an MSA. Continuing with the example MSA from the beginning of the section, consider a perturbation at position j where the amino distribution changes from 40% I, 40% H, 20% M to 100% I. If, in a subsequent subalignment, this changes the distribution at i from 60% V, 40% L to 90% V , 10% L, but does not change the distribution at position l, then there would be some amount of statistical coupling energy between i and j but none between l and j.

2 PERIOD BINOMIALITY
formatted extensions of the rapid data on a 1/10 = D response of 10 Dimensions
where the progressive function: as data on rapid multi usage in the process to deccellerate the function by comparatives with large and larger x values:
x1———————10 D———————-x 10
In mathematics, a function f ∈ L2(R) is called progressive if and only if its Fourier transform is supported by positive frequencies only:
.
It is called regressive if and only if the time reversed function f(−t) is progressive, or equivalently, if
.
The complex conjugate of a progressive function is regressive, and vice versa.
The space of progressive functions is sometimes denoted
, which is known as the Hardy space of the upper half-plane. This is because a progressive function has the Fourier inversion formula
and hence extends to a holomorphic function on the upper half-plane
by the formula

COMPLEX CONJUGATER
Conversely, every holomorphic function on the upper half-plane which is uniformly square-integrable on every horizontal line will arise in this manner.
Regressive functions are similarly associated with the Hardy space on the lower half-plane 

RERUNNING THE SEQUENCE UNDER THE 3 VALUE DIEMENSIONALITY OF THE HOLOMORPHIC UNIVERSE:

the process of projectioon to the :
10 D in 10 values would deccellerate the processing of sequencial comparatives
is the basis for 3 x alternations TO BE CERTAIN THAT A 10 d VALUE SEQUENCE IS DECREASING ACCELLERATION OR INCREASING ACCELLERATION

and the value for a post parameter as x
100 D.x =-a/3
a law for coupling sequences:
A BASIC PREEMPTIVE FUNCTION THAT CAN BE VISUALISED BY GREATER COMPRESSIVE DIVISIONS OR LESSER SUCH FORMATS
IN 10 D SPACETIME

C O L L E C T I N G S U P E R F R E E Z E
AS ANTI MATTER
by Henryk Szubinski
as close as guessing can only indicate
AT LEAST WORK THE ABSOLUTE ZERO SUPERFREEZE ABSOLUTE SOULD BE SIMILAR AND MOOVING IN OPPOSITE VECTOR DIRECTIONS OF TEMPERATURE:
sub freeze processess:h quant enthropy beyond enthropy zero as the absolute zone
where initial p = photon pertubance or the state of plazma super colling where the sections can be crushed from the super freeze position .
The state of matter defined as p. S .q cubics is defined as the super freeze distance of the photon shoot branches prior to being broken or shattering the UNIVERSE basically implying that the quantal value is super freeze.

TO MAKE THE BALL BOUNCE IN THE FASE BY CONTROL OF
ALTERATIONS TO THE TEMPERATURE INDICATED AS TO THE
LEFT /RIGHT IN A HORIZONTAL FLAT STATE
by wire systems in the frontal perspective of the multi faseings in wave formats:
The responsive Area of temperature manipulations go from a state at
-3x = -1000 000 degrees centigrade
and the quant value is a aprroximation of 3 stages of super freeze to super cool as the vectors gained on enthropy = to super freeze status.
developments of anti matter= universe as one base value 1

Direct Doppler measures of water masers surrounding the nucleus of nearby galaxies have revealed a very fast keplerian motion, only possible with a high concentration of matter in the center. Currently, the only known objects that can pack enough matter in such a small space are black holes, or things that will evolve into black holes within astrophysically short timescales. For active galaxies farther away, the width of broad spectral lines can be used to probe the gas orbiting near the event horizon. The technique of reverberation mapping uses variability of these lines to measure the mass and perhaps the spin of the black hole that powers the active galaxy’s “engine”.
Such supermassive black holes in the center of many galaxies are thought to be the “engine” of active objects such as Seyfert galaxies and quasars.
doppler EFFECTS AS IN THE STATE OF MATTER DEFINED AS BOUNCING BALL
in cold states= the definitions of work in a system
THE FREEZING OF A BOUNCY BALL stage in the supermassive deveopment period by the liquid formats of beyond the plasma soup stage in which the particles are preceeded by super cooling and subsequent super FREEZE:
work equations as the theory of super cooling and super freeze in a system doing no work on time reversal:
In physics, mechanical work is the amount of energy transferred by a force acting through a distance. Like energy, it is a scalar quantity, with SI units of joules. The term work was first coined in the 1830s by the French mathematician Gaspard-Gustave Coriolis.[1]
According to the work-energy theorem if an external force acts upon an object, causing its kinetic energy to change from Ek1 to Ek2, then the mechanical work (W) is given by:[2]
where m is the mass of the object and v is the object’s speed.
The mechanical work applied to an object can be calculated from the dot product of the applied force (F) and the displacement (d) of the object. This is given by:
inclusive time definitions of a reversal of work by 3 matter fases = 3 t
and the reversals of temperature to absoulte super freeze as the work = F.S .T as the comparative.
The F.S.T = 3x
would make comparative sense out of the superfreeze state : as FAST.
In a “heat death”, the temperature of the entire universe would be very close to absolute zero. Heat death is, however, not quite the same as “cold death”, or the “Big Freeze”, in which the universe simply becomes too cold to sustain life due to continued expansion, though the result is quite similar.[6]
as tensility of resilliance in flexative spheres= the work equation as non involvance by continuiims of descriptive theories
the theory of everything used as the value of some theory as being in comparative to the fast state of super freeze =1 .M
the theory then =
1M( F.S.T) x=3
spherical force section will deal with the divisiobns of the general Work theorem as it is a F.S.T equation with the comparatives made.
For a given (externally generated) gravitational field, the tidal acceleration at a point with respect to a body is obtained by vectorially subtracting the gravitational acceleration at the center of the body from the actual gravitational acceleration at the point. Correspondingly, the term tidal force is used to describe the forces due to tidal acceleration. Note that for these purposes the only gravitational field considered is the external one; the gravitational field of the body (as shown in the graphic) is not relevant.




Figure 4: Graphic of tidal forces; the gravity field is generated by a body to the right. The top picture shows the gravitational forces; the bottom shows their residual once the field of the sphere is subtracted; this is the tidal force. See Figure 2 for a more exact version
Tidal acceleration does not require rotation or orbiting bodies; e.g. the body may be freefalling in a straight line under the influence of a gravitational field while still being influenced by (changing) tidal acceleration.
Newton’s law of universal gravitation states that a particle of mass m a distance r from the center of a sphere of mass M feels a force of:
,
where
is a unit vector pointing from the body M to the particle m.
Extending the description of m to a small body with spatial extent, suppose that R is the inter-object distance – the distance from the center of M to the center of m, and let ∆r be the radius of m in the direction pointing towards M. Hence the points on the surface of m are located at distance r = R ± ∆r from the centre of M. Using the above equation, and ignoring the small contribution due to m’s own mass, we have the gravitational force at these points as:
Pulling out the R2 term from the denominator gives:
The Maclaurin series of 1/(1 + x)2 is 1 – 2x + 3x2 – …, which gives a series expansion of:
The first term is the traditional gravitational force; all other terms are tidal force terms. Generally, the first is much more significant than the other terms, giving:
The tidal forces can also be calculated away from the axis connecting the bodies, requiring a vector calculation of forces. In the plane perpendicular to the axis, the tidal force is directed inwards, and its magnitude is Ft/2 in linear approximation as in Figure 2.
t h e s t e m m i c r e s p o n s e
By Henryk Szubinski
Concept concerns the mess of previous connection that are never checked by the user can be used to get connected on the web by the phone system that would be phone service for point systems of phone usage on a disrecional basis of cleaning up ones act: bussiness allocations reward systems , making friends getting directed….getting the motivation for the phone usage.
the STEMMIC A.I COMPUTER DECLARATIVE WEB PHONE SYSTEMS BASED ON STEMMIC RELATIONS ZONES USUALLY OVER THE LEVEL OF THE SITTING PERSON IN LINE WITH THE TABLE ON WHICH THE COMPUTER IS RESTING SO THAT BY MAKING GENERAL CALCULATIONS ARE EASIER TO DEFINE:
the freedoom of knowledge base in the E.U frameworks as high rate quant compactions rates of occilations in a positionality based on a non tubularity in cognitions.

![]()
type gadget for fighting the nasties
THE STEMMIC ASSIST MODULE ON THE LEVEL OF THE TABLE WITH THE COMPUTER AS THE GENERAL INDICATOR OF SOME BASIC INLINE WEB CONNECTIONS INTO A MULTI USAGE PROJECTIONS TYPE DEVICE..
A cognitive architecture is a blueprint for intelligent agents. It proposes (artificial) computational processes that act like certain cognitive systems, most often, like a person, or acts intelligent under some definition. Cognitive architectures form a subset of general agent architectures. The term ‘architecture’ implies an approach that attempts to model not only behavior, but also structural properties of the modelled system. These need not be physical properties: they can be properties of virtual machines implemented in physical machines (e.g. brains or computers).
Cognitive science may be concisely defined as the study of the nature of intelligence. It draws on multiple empirical disciplines, including psychology, philosophy, neuroscience, linguistics, anthropology, computer science, sociology and biology. The term cognitive science was coined by Christopher Longuet-Higgins in his 1973 commentary on the Lighthill report, which concerned the then-current state of Artificial Intelligence research.[1] In the same decade, the journal Cognitive Science and the Cognitive Science Society were founded.[2][dead link] Cognitive science differs from cognitive psychology in that algorithms that are intended to simulate human behavior are implemented or implementable on a computer.[

computative responses
[edit] Analytic geometry
In analytic geometry, curves are often given as the image of some function. The argument of the function is invariably called “the parameter”. A circle of radius 1 centered at the origin can be specified in more than one form:
- implicit form
- x2 + y2 = 1
- parametric form
- where t is the parameter.
A somewhat more detailed description can be found at parametric equation.

disinfecting the stemm interval from generation 1 to generation 2 of the

processing:
cognitive architecture, (a)
computational (b)
agent architectures, (c)
virtual mashines,(d)
psychology,(e)
fisiology,(f)
neuro science ,(g)
lingustics,(h)
computer science,(i)
analitic geometry(j)
,parameteric equations.(k)
a—–b–c—d—e—-f——–g——-h——–i————j———-k——–
as the stageings of the universe on a zoom in stage value multiple:
a)
1———————————-generations gap—————————2
values implied to be functional on the basis of a multiple sequence disinfections by the process of the data being a engegement into
force = m.a
of its own positional fuel (x Kjoule) and making its vector parameter to which the bad germ is hiding away.
b)
2—————-3———-100———10 to the 10—-10 to the 100000000
The data on type relations of the active value motivators of a sequence and its secondary sequence drive of the motivations to increase generations
c)
1———->>>>>>>>>>>>>>>>>>>>>>>>>B>>>>>>>B to the B
without the formats of responsive hazzards by the data as a Majectic clean up of the
d)
1———————————–1 zillion ( HIDE AWAY)———>
interval germs that can cause hazzard to stemmic cell relations with the T lymhocites in the Knavel of the generation gap as a STRONG INDICATOR substance to which a 2 year cleaning UP OF WEB CONNECTIONS AS AUTOMATIC WEB CONNECTIONS WITH PHONE DISCUSSIONS has similar bad effcts , usage of IMPLEMENTS and the once a year clean UP OF THE SITE BY CONNECTIONS is still in a STRONG EFFECT
as such a hideing cellularity of the combinance of the vector types of the
e)
——————[x]———————–[xxxxx]———–[3]——-
parameter without it as the data on the compressional homosaphiens stage of human evolutions as a multi functionality of the knavel as a
compressive functional organ to which the difference of volumetrical musclular alterations by volumes
= 1/2 to 1/3
f)
-1/3 ———————-))))x((((———————————————1/2
Of the specific data on the warping of the process to a non relations of broken data muscular
nerve synaptics of a cognitive motivationality.
g)
————————-====synaptics———————(motivator)
The processess of the data on a planar reality of a similar to
EARTH type environemnts as the
human walk range
h)
——————-walk————————walk—————–walk
to which the specific muscular controll vectors of the human fysiology of the :VOLUME
planarity of a indicated non specific associative locationality
i)
——————————[F]——————–>>>( localisations)
but can associate to specific similarities in other humans as a similar function to which a memory functioning of relations between humans could be used on a menory response of the data in processess governed by height.
j)
——————————relations height———————————–
Data on the lymphocites connected to the externality of the break zone of a connective strong sense particle doing its combinant work on the match connectives of a limited human recognitive of SENSE identifications, as such the learning process of a evolutional specific inherent in humans as the alterations of similar combinative productions of artificial SENSE STIMULATIONS .

LYMHOCITES
T cells
The general S-parameter matrix
[edit] Definition
For a generic multi-port network, each of the ports is allocated an integer ‘n’ ranging from 1 to N, where N is the total number of ports. For port n, the associated S-parameter definition is in terms of incident and reflected ‘power waves’,
and
respectively.
Kurokawa[7] defines the incident power wave for each port as
and the reflected wave for each port is defined as
where
is the diagonal matrix of the complex reference impedance for each port,
is the elementwise complex conjugate of
,
and
are respectively the column vectors of the voltages and currents at each port and
Sometimes it is useful to assume that the reference impedance is the same for all ports in which case the definitions of the incident and reflected waves may be simplified to
and
For all ports the reflected power waves may be defined in terms of the S-parameter matrix and the incident power waves by the following matrix equation:
where S is an N x N matrix the elements of which can be indexed using conventional matrix (mathematics) notation.
UNIFIED 4 FORCE STRING
By Henryk Szubinski
Informally, a restriction of a function ƒ is the result of trimming its domain.
More precisely, if ƒ is a function from a X to Y, and S is any subset of X, the restriction of ƒ to S is the function ƒ|S from S to Y such that ƒ|S(s) = ƒ(s) for all s in S.
If g is any restriction of ƒ, we say that ƒ is an extension of g.
in many plasma states a large velocity of interactions results in magnetic tubules similar to the tokkamakk generator to contain it but on a simepler level of a break up of such tubules in no general circumferencial unification.


The basisc of theese tubes can be show to be a general format for the plasma transportation systems present in the universe at abell 2218
and many parameters where there is tubular squashing: Using 2 tubules and calculating their volume

2 pi r squared (h). 2
it is known that for unification to exist between 4 forces in the universe and for them to be combined by a type string theory, the forces will be assigned their values:
Force = m.a
K.E=m.g.h taking out the 1/2 and reinserting it with a growth of the 4
formulations = 2
E=m.c. squered
W=F.S
Formal description of a function typically involves the function’s name, its domain, its codomain, and a rule of correspondence. Thus we frequently see a two-part notation, an example being as a predictive android function = 2
AS ALTERATION OF THE KINETIC ENERGY EQUATION
where the first part is read:1/2
- K.E is a function from N to R” (one often writes informally “Let ƒ: X → Y” to mean “Let ƒ be a function from X to Y“), or
- “ƒ is a function on m.g.h into 1/2 “, or
- “ƒ = 4 is an R-valued =2 function of an N-1/2 valued variable”,
and the second part is read:as the continuiim between 2 and 1/2
maps to
sum of 4+2+1/2=6.5
Here the function named Kinetic Energy has the natural numbers as domain, the real numbers of the other 3 FORCES IN THE UNIVERSE as codomain, and maps n to itself divided by π. Less formally, this long form might be abbreviated INTO A POST CONNECTIVE “going around the equatives”
or as = 4 values of forces in the universe as the differencial part of the equation where lim x = 2 as x approaches 1/2 x Dx.

the paths taken by jumping dolphins can be seen in ABELL as ejection paths of lavae or plasma at high velocity
basic. So how does one combine theese forces into one value ,well trying to combine them on the 2 cylinders defined as plasma transportations , the resultant equation :distributing the values of 2 cylinders evenly in the equation gives
K.E /2 ( E) 2= (2pi r squ . h ) / W.F (2)
regulation of flow: PRIOR TO FLATTENING
K.E squ = 2pi r squ . h / W.F
Superhopping ; AFTER FLATTENING
K.E squ (W.F) = 2pi r squ.h
as a INTERVAL
= vector connections by canncellations of the squared value the former calculations are all a format for natural numebrs and their sequenced interactive continuiims
W squ .F squ = 2 pi r squ .h
resulting in the: continuiim plasma calculation
W.F = ( 2 pi r ) to the -2.h
or what AREA is defined as the SQUASH plane : in high rate gamma rays interacting with plasma. As surround modes and their inetrnal modality, the theory would be:

a type representation of abell 2218 as a format for tubular flares outof what might be a plasma sea that has to have plasma solid points to keep it stable………this is where the 4 forces in the universe are active and the string theory can calculate the flare connectives at the turning points
root W.F=Cir inv to -2 at the state of plasma as a sequence (4,2,1/2)
this would be the multi state outside the abell formats and inside the string formats:

HOW DOES ONE OBSERVE FLUID PLANES OF PLASMA;well just reduce the optical lens density and use the transparency of particles on a plane used to register the photons.
root Work 4 F=Cir 2.inv 1/2 to the -2
2W.F=Cir to -2
observing the 4 forces in the universe by a comparative with data on the levels of squash planarity as a minimal value <1 as the measures used so far into the cause reason that the values adjoin a quantality which is the format for Force as a example of N to-10 as it increases into quantality of the squash plane as N to the -100 m-2-sec-1

how to localise observations of type spill squash planes and squash holes
string theory for everything functions by using
two of the forces twice
2F1.2F1=Cir
while denoting the circumference of the string to a dimensional measure used as
Vol to the -3 or to mm to the -2….examples such as m-2sec-1
and any construct such as N-10sec-6 for the remaining 2 forces in the combined string as = 4 . 1/2
or the m-4 sec-1/2
data functions :
A function point is a unit of measurement to express the amount of business functionality an information system provides to a user. Function points are the units of measure used by the IFPUG Functional Size Measurement Method. The IFPUG FSM Method is an ISO recognised software metric to size an information system based on the functionality that is perceived by the user of the information system, independent of the technology used to implement the information system. The IFPUG FSM Method (ISO/IEC 20926 SOFTWARE ENGINEERING – FUNCTION POINT COUNTING PRACTICES MANUAL) is one of five currently recognised ISO standards for Functionally sizing software.
giving this type of environment where solar flares can connect over large distances is what is happening as Abell…2218

The general format for photons as a planar soup of a compressed spacetime parameter where SQUASH holes connect to the edges of the spacetime and link the planarities together through the tubule plasma transportations at large distances from each other:

a general size multiple of the plasma transportations tubes
LOOP HOLE FORCE
By Henryk Szubinski
data singular vector
POSSIBILITIES IN LOOP HOLES:
Suppose M is an m-by-n matrix whose entries come from the field K, which is either the field of real numbers or the field of complex numbers. Then there exists a factorization of the form
where U is an m-by-m unitary matrix over K, the matrix Σ is m-by-n diagonal matrix with nonnegative real numbers on the diagonal, and V* denotes the conjugate transpose of V, an n-by-n unitary matrix over K. Such a factorization is called a singular-value decomposition of M.
A common convention is to order the diagonal entries Σi,i in non-increasing fashion. In this case, the diagonal matrix Σ is uniquely determined by M (though the matrices U and V are not). The diagonal entries of Σ are known as the singular values of M.

[edit] Intuitive explanation
In
- the columns of V form a set of orthonormal “input” or “analysing” basis vector directions for M
- the columns of U form a set of orthonormal “output” basis vector directions for M
- the matrix Σ contains the singular values, which can be thought of as scalar “gain controls” by which each corresponding input is multiplied to give a corresponding output.
data inputs of a formative vector value 1 = to the values of a height in fluid

volumetrics as the values of a left / right uncertainty of the process left = to aquire a format for a flying car by the data on the solid interactions of a value that is used on the data of non multiple UNCERTAINTY as the active value to aquire 2 formats of a sequence certainty of left / right by a process = forwarded vector data on the usage of the simultaneous usage by a quant value volume where the process to define the horizon level of a locatable drive to warp drive ahead of the process in a horizontal level of data as a continuiim of the based values of a forwarded function in anti matter and artificial gravity by the usage of force fields in any measure of artificial intelligence.




One may be tempted to ’simplify’ the last two equations by dividing out the cosa leaving one expression in tanA only. But the tangent cannot distinguish between (for example) an azimuth of 45° and 225°. These two values are very different: they are opposite directions, NE and SW respectively. One can do this only when the quadrant in which the azimuth lies is already known.
If the calculation is done with an electronic pocket calculator, it is best not to use the functions arcsin and arccos when possible, because of their limited 180° only range, and also because of the low accuracy the former gets around ±90° and the latter around 0° and 180°. Most scientific calculators have a rectangular to polar (R→P) and polar to rectangular (P→R) function, which avoids that problem and gives us an extra sanity check as well.
data on hemispherical opposition
It has been shown that for many applications involving terrestrial albedo, the albedo at a particular solar zenith angle θi can reasonably be approximated by the proportionate sum of two terms: the directional-hemispherical reflectance at that solar zenith angle,
, and the bi-hemispherical reflectance,
the proportion concerned being defined as the proportion of diffuse illumination D.
Albedo α can then be given as:

Directional-hemispherical reflectance is sometimes referred to as black-sky albedo and bi-hemispherical reflectance as white sky albedo. These terms are important because they allow the albedo to be calculated for any given illumination conditions from a knowledge of the intrinsic properties of the surface.
W O R K I N T H E U N I V E R S E A S F O R C E
By Henryk Szubinski
PARAMETER MULTIFASEINGS;
In fluid mechanics, multiphase flow is a generalisation of the modelling used in two-phase flow to cases where the two phases are not chemically related (e.g. dusty gases) or where more than two phases are present (e.g. in modelling of propagating steam explosions).
Each of the phases is considered to have a separately defined volume fraction (the sum of which is unity), and velocity field. Conservation equations for the flow of each species (perhaps with terms for interchange between the phases), can then be written down straightforwardly.
The momentum equation for each phase is less straightforward. It can be shown that a common pressure field can be defined, and that each phase is subject to the gradient of this field, weighted by its volume fraction. Transfer of momentum between the phases is sometimes less straightforward to determine, and in addition, a very light phase in bubble form has a virtual mass associated with its acceleration. (The virtual mass of a single bubble is about half its displaced mass).
These terms, often called constitutive relations, are often strongly dependent on flow regime
double slit experiment: as a linear sequence that is broken and turned on itself.

Multiprocessing System is the use of two or more central processing units (CPUs) within a single computer system. The term also refers to the ability of a system to support more than one processor and/or the ability to allocate tasks between them.[1] There are many variations on this basic theme, and the definition of multiprocessing can vary with context, mostly as a function of how CPUs are defined (multiple cores on one die, multiple chips in one package, multiple packages in one system unit, etc.).

PROCESSESS EVERYWHERE THAT ARE COMPATABLE:

THE DOUBLE SLIT EXPERIMENT AS A SURFACE THAT IS CONNECTED AT EACH END TO A FORM = TUBE . cylinder
AT A VERY HIGH RATE OF ROTATION : the process barrier mooves back in time by dialations of the process to a input through the slit sections at such velocity of a quantal spacetime continuiim that the data on interactions = to the processings of parameters that are point localised as expensions by multi disruptions of the filtering out of the doppler effects.
The metric expansion of space is the averaged increase of metric (i.e. measured) distance between distant objects in the universe with time. It is an intrinsic expansion—that is, it is defined by the relative separation of parts of the universe and not by motion “outward” into preexisting space. (The universe is not expanding “into” anything outside of itself.) Metric expansion is a key feature of Big Bang cosmology and is modeled mathematically with the FLRW metric
A COMPUTER CONSTRUCT FOR THE DATA ON A PROCESS QUANT VALUE USAGE FOR THE PROCESSINGS OF THE SPACETIME MULTI POSITIONALITY OF VECHICULARITY AS WARPING TO OCCUPIED PARAMETERS IN ANY POSITION:

In thermodynamics and fluid mechanics, compressibility is a measure of the relative volume change of a fluid or solid as a response to a pressure (or mean stress) change.
where V is volume and p is pressure. The above statement is incomplete, because for any object or system the magnitude of the compressibility depends strongly on whether the process is adiabatic or isothermal. Accordingly we define the isothermal compressibility as:
where the subscript T indicates that the partial differential is to be taken at constant temperature. The adiabatic compressibility as:
RANDOM access memory

data on the basis of the projector as a type folded basis of a level in 3 values:
Computing is usually defined as the activity of using and developing computer technology, computer hardware and software. It is the computer-specific part of information technology. Computer science (or computing science) is the study and the science of the theoretical foundations of information and computation and their implementation and application in computer systems.
freedoom of knowledge
as a case interaction by the data on compressional totals and expansive vector totals = to a left/ right compressional / expansional voluemtricality of 2 volumes = 1 and 1/2
as the definitions of compaction to a resultant value warping of a isolated format of the interactive status volumetrical fase out of the interactive level 3= surface of the data on fased out parameter to locate the process interactions value quantal as the value depthings of a 1/ value interactions value in the compactionality outof the parameters of locationalisation.
using compression status II with expansions format I—–I——I
by some stageings:
1) the expansions to exteriorise
2) the expansions to use a fule format
3) the contractions to exclude a format of a value 2=projective value
compressions into a non status parameter:
a)
III
As the data on the formatted context of a interaction between formats:
opening the values
b)
I1——————I2——————I3.
systematics of a process value sequence where the compression of 1 and 3
=level 3 as non present parameter by stageing of
( a +b)=I3
the data on the processings of a value
( x I 1 )=reusage of format 1/2
as the data on the processings of a sequence :
I1/I3=projective type 1/2 x
formats for compression or expansions are already a format for the input of a bit unit into:
I3—-exp————bit—————cont—–I3
equal data of the
I3 . 2 = exp / cont ( x / bit)

Regardless of whether it is an electron, a proton, or something else existing on what is considered a “quantum” scale, where it will arrive at the screen is highly determinate (in that quantum mechanics predicts accurately the probability that it will arrive at any point on the screen). However, in what sequence members of a series of singly emitted things (e.g., electrons) will arrive is completely unpredictable. The experimental facts are so highly reproducible that there is virtually no argument about them, but the appearance of there being an uncaused event (because of the unpredictability of the sequencing) has aroused a great deal of cognitive dissonance and attempts to account for the sequencing by reference to supposed “additional variables.”
For example, when electrons are fired at the target screen in bursts, it is easy to account for the interference pattern that results by assuming that electrons that travel in pairs are interfering with each other because they arrive at the screen at the same time, but when a laboratory apparatus was developed that could reliably fire single electrons at the screen[24], the emergence of an interference pattern suggested that each electron was interfering with itself; and, therefore, in some sense the electron had to be going through both slits.[25] For something that most people continue
t h e M I D I o f p r e s s u r e a p p l i c a t i o n s
By Henryk Szubinski
formats that have mooved from E.U 1 to E.U 20 where the general freedoom of knowledge status has gone from a burning tree to kid stories and towards the full astrophysics of STARWARS.
the 8 mm discrepancy of supershells in super bubbles:using 8 mm glass chambers for warp drives in space ships and in flying cars by compatable
fierings of the 21 cm to 8 mm relativity of force field generations
0——1—————————————————————–21 cm
0—8mm
using super bubbles in type 2 civilisations : in wafered structual solids such as H2o as a similar comparative to superbubbles of solid materials inside a supernovae fluid plasma state:
Superbubble is the astronomical term used to describe a cavity hundreds of light years across filled with 106 K gas blown into the interstellar medium by multiple supernovae and stellar winds. The solar system lies near the center of an old superbubble, known as the Local Bubble, whose boundaries can be traced by a sudden rise in dust extinction of stars at distances greater than a few hundred light years.
STATES OF 8 mm chambers in their interactions:
human ties that are only other side open when the data behind the glass is connected by memory to respond from the other side of the great republic as the data on the similarity of scillicate values in strength of implied imprint reference as indicative of a density function on one side and the oxygen misty function of implied associations to the data on a connective comparative of the data as used and then positioned as a communicative gap that is open by the faseings of alternating values of flying cars that is unlimited by x value = similarity of progress by the data on similar alterations of angle to the side that is primarily used to locate the process as the side that corresponds to the process of a force field generator that has any value implied as its resultant multi usage by reflection gradient 4 out of 10 levels as a transparency as the levels of a interactive summation:
polarisations of incidence rays of light: using a type windscreen wiper inside the formats of dotted point accellerators as gauged to the comparatives of superbubble values:as dust extinctions on the distributions of internal R2D2 polarisational responsives

R2D2
4x=gap (L.F)root F.
as the sum of the sequences = 55 . 3 =165 Newtons force
as the length( L) =30 units
the gap = 165-30
=135 N-3units-2
as the data on the force in multiple exchange barriers by
3 process systems of
1,2,3,4,5,6,7,8,9,10=a
1,2,3,4,5,6,7,8,9,10=b
1,2,3,4,5,6,7,8,9,10=c
![]()
as 3 system measures
as the data on the systematics of implied resultants as = to the gradient of density / reflections values:
The processing of angles of incidence
Consequently, if the direction of the refracted light is perpendicular to the direction in which the light is predicted to be specularly reflected, the dipoles will not create any reflected light. Since, by definition, the s-polarization is parallel to the interface, the corresponding oscillating dipoles will always be able to radiate in the specular-reflection direction. This is why there is no Brewster’s angle for s-polarized light.
With simple trigonometry this condition can be expressed as:
where θ1 is the angle of incidence and θ2 is the angle of refraction.
Using Snell’s law,
we can calculate the incident angle θ1=θB at which no light is reflected:
Rearranging, we get:
where n1 and n2 are the refractive indices of the two media. This equation is known as Brewster’s law.
incidence used between 3 measure systems as the angle of polarisations that escapes the refractive indexing of data in the sandwitching effect of a composite pressurisation that can imply escape velocity calculations by the certainty of refractive pockes in density formats of substancial comparatives that are referenced by a pocket of data value =2/3 between the 3 levels = to the process of a 1 value as projective differencials of level comparatives in space time with EARTH
3————————————-1/3
3————————————-1
the 2 processess define the data the measuring systems that would be respondant to alterance as:
pockets of bubbles encased in a materials substance as prior to formations or in post effcted release of bubbles:

a=1,2,4,5,6,7,8,9,10
b=,2,4,5,6,7,8,9
c= as the compilde data in a sequence =1/3 + 1=1.1/3
of the excluded values of 10 and 1. 1.333333333=approximately 0.8
this value is everywhere the basic value that is most difficult to locate as the value to have the root function and comparae it to the quantal:

c quantal =0.8 root
data as such on alterations of mooving quants and roots results in root volumes divided to quantal multiples of a decreasing value to its root again to a quantal value surface whereby the quantal continuiim is multipled by itself into a force value height of interacting qauntal roots and root quantals. In a general exchange of values around one specific force value.

The most massive stars, with masses ranging from eight to roughly one hundred solar masses and spectral types of O and early B are usually found in groups called OB associations. Massive O stars have strong stellar winds, and all of these stars explode as supernovae at the ends of their lives.
The strongest stellar winds release kinetic energy of 1051 ergs (1044 J), equivalent to a supernova explosion. These winds can blow stellar wind bubbles dozens of light years across.[1] Supernova explosions, similarly, drive blast waves that can reach even larger sizes, with expansion velocities of as much as several hundred km s-1.
Stars in OB associations are not gravitationally bound, but only drift apart at speeds of around 20 km s-1. As a result, most of their supernova explosions occur within the cavity carved by the strongest stellar wind bubbles.[2][3] They never form a visible supernova remnant, but instead efficiently deposit their energy into the hot interior as sound waves. Large enough superbubbles can blow entirely through the galactic disk, releasing their energy into the surrounding galactic halo or even into the intergalactic medium.[4][5]
The interstellar gas swept up by superbubbles generally cools, forming a dense shell around the cavity. These shells were first observed in line emission at twenty-one centimeters from hydrogen,[6] leading to the formulation of the theory of superbubble formation. They are also observed in X-ray emission from their hot interiors, in optical line emission from their ionized shells, and in infrared continuum emission from dust swept up in their shells. X-ray and human optical emission are typically observed from younger superbubbles, while older, larger objects seen in twenty-one centimeters may even result from multiple superbubbles combining, and so are sometimes distinguished by calling them supershells.

the spectral unit of H 2 in superbubble spectral emmissions of the bubble shell as = to a 8 milimmeter vector displacement from the <H and down to the values of a
21 0/8 mm =2.8 certainty of a parameter that uses the formats of a general bolw throgh in the galaxy force field becuase the divisive is greater than the products.

T H E F O R C E I S A L L I T I S
BY Henryk Szubinski
force equation 
1/2 = root angle / x
the theory of everything sector 100; a theory that lets you work it out:
of the high angle positionality
THE ANGLE UP AS THE PROBLEMS OF REFLECTING THE HIGH ANGLE PERSPECTIVE OF THE PROCESSING PROBLEMS WHERE VALUE 1 = UNIVERSE COBE AND THE SIZE OF THE UNIVERSE AS PRIORITISED BY EARTH BASED OBSERVATIONS OF A DEEP SKY SURVEY.
Liquid crystal states have properties intermediate between mobile liquids and ordered solids. For example, the nematic phase consists of long rod-like molecules such as para-azoxyanisole, which is nematic in the temperature range 118-136 °C.[2] In this state the molecules flow as in a liquid, but they all point in the same direction (within each domain) and cannot rotate freely.
Other types of liquid crystals are described in the main article on these states. Several types have technological importance, for example, in liquid crystal displays.

EARTHS PLASMA FOUNTAIN:
AS A HIGH ANGLE LIFT ASSIST IN DATA DEPTHING OF LCD SCREENS
problems concerning which 3 rd state of matter is inclusive to a effect of altered vector certainty as the states of matter defined as the processor construct. Defined in short as the basics of the data that is there previous to alternations in a occilator function based on
DATA ON A IMAGE OF ONE OF
: COBE ,LARGESCALE STRUCTURES, MILLENIUM RUN, DIGITAL SKY SURVEY
the sum value =1+2+3+4 =10 universes
1) data fase ot as the equivalence theory = 10
plasma technology as the root 10 =x( 3 values with a 4 th alterator )
the problem is the alterator
- The plasma approximation: Charged particles must be close enough together that each particle influences many nearby charged particles, rather than just interacting with the closest particle (these collective effects are a distinguishing feature of a plasma). The plasma approximation is valid when the number of charge carriers within the sphere of influence (called the Debye sphere whose radius is the Debye screening length) of a particular particle are higher than unity to provide collective behaviour of the charged particles. The average number of particles in the Debye sphere is given by the plasma parameter, “Λ” (the Greek letter Lambda).
- Bulk interactions: The Debye screening length (defined above) is short compared to the physical size of the plasma. This criterion means that interactions in the bulk of the plasma are more important than those at its edges, where boundary effects may take place. When this criterion is satisfied, the plasma is quasineutral.
- Plasma frequency: The electron plasma frequency (measuring plasma oscillations of the electrons) is large compared to the electron-neutral collision frequency (measuring frequency of collisions between electrons and neutral particles). When this condition is valid, electrostatic interactions dominate over the processes of ordinary gas kinetics.
basically the alterator is the frequency or the interactions
meaning a 4 root + 1= root x
Carbon dioxide equivalent (CDE) and Equivalent carbon dioxide (or CO2e) are two related but distinct measures for describing how much global warming a given type and amount of greenhouse gas may cause, using the functionally equivalent amount or concentration of carbon dioxide (CO2) as the reference
the oxygenic interactions of a basis to retrace problems from a ordered sequence of data: where the cobe or the digital sky survey takes first place
in zone x
special relationships with force fields and their responsive high value alterations by motion = to definitions of vector certainties in what is defined as the basis for circuitry resistance in a process to define the basis of similar resistance processess and their referenced data on the formattings of motion laws as the basics in flying cars:
to turn the x value as a 1/10 degree + root 5/10 of the values used

data on the positionality of multiple states of a parameter to which the data on the certainty of a altered vector inclusive of a state of reaplications =to the data on the values to which the process recognitive artificial intelligence has some similar process variance with the data on the specific resultants.

Alterations of the data on the high values implied to be responsive on 3.5 levels of reusage are the same as the data on a singular reference positionality.
of the solar proximity as the deviciveness of LCD doing its own ORDER CACULATIONS
the 5/10 or 1/2 would = a root divisive / x
as the hyperspace calculation in a calculation of order in dissorder
Data as such has the fiunctionality of the implied interactions of the vector process to observe the data on 1/2 processess.
any value sequence can be registerd as wherefrom it is altered by perspectives of a
HIGH ANGLE: for example in exo planetary zones

values of data:PROCESS TO DISPLAY THE FUNCTIONAL COMPONENTS OF THE PROCESS TO NEUTRALISE THE DATA ON:
the filtrations of the data on order as being the differences between high angles
specific values of volumes with a even set of surface rea comparative values as are = to basic definitions of the sectionality in high velocity aquirive reasons to use the angle from the side of such a component to make faster usage of it a must.
a high ANGLE FROM THE SIDE PERSPECTIVE

Why? well because to differenciate between the data on the surface areas that are pronounced in relationships with the specific point usage of
law 1= the opposite of law 2
which states that the artificial gravity of any force field event must be equal to the formats of a general similarity in faseing the proximities to the values of a reapplied function
![]()
where A= lim x as x approaches the value 1 root +the data on a parameter
of P Dp
the data then on the usage of parameters with depth and of the
law 3: which states that the process =to a alterable value relationality of
points along a wave seen from above..
Data are pieces of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data (plural of “datum“, which is seldom used) are typically the results of measurements and can be the basis of graphs, images, or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived.
states between set values :
The largest and the smallest element of a set are called extreme values, absolute extrema, extreme records, or optima.
For a differentiable function f, if f(x0) is an extreme value for the set of all values f(x), and if x0 is in the interior of the domain of f, then x0 is a critical point, by Fermat’s theorem.
The point or points at which a function assumes its maximum (respectively, minimum) value are called the arg max (respectively, arg min): the arguments (inputs) at which the maximum (respectively, minimum) occurs.
high angles
In film, a high angle shot is usually when the camera is located high.
With this type of angle, the camera looks down on the subject and the point of focus often get “swallowed up” by the setting.
High angle shots also make the figure or object seem vulnerable or powerless.

as a comparative model to alter the angle of approach where the hubble telscope is positioned to a corrected angle of view is the same wigh problems of the large scale structures in multi vectorial spacetime and the comparisons with the cobe image areas of a spetral analisis:
as the height difference between objective observers:

Hopcroft and Ullman (1979, p. 148) formally define a (one-tape) Turing machine as a 7-tuple
where
- Q is a finite set of states
- Γ is a finite set of the tape alphabet/symbols
is the blank symbol (the only symbol allowed to occur on the tape infinitely often at any step during the computation)
is the set of input symbols
is a partial function called the transition function, where L is left shift, R is right shift. (A relatively uncommon variant allows “no shift”, say N, as a third element of the latter set.)
is the initial state
is the set of final or accepting states.
Anything that operates according to these specifications is a Turing machine.
The 7-tuple for the 3-state busy beaver looks like this (see more about this busy beaver at Turing machine examples ) :
- Q = { A, B, C, HALT }
- Γ = { 0, 1 }
- b = 0 = “blank”
- Σ = { 1 }
- δ = see state-table below
- q0 = A = initial state
- F = the one element set of final states {HALT}
Initially all tape cells are marked with 0.







talk back