Examples of using Displaystyle in English and their translations into Hebrew
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Programming
Of two events A, B{\displaystyle A, B}.
S+ E→ P+ E{\displaystyle S+E\rightarrow P+E} Where S is substrate, P is product and E is enzyme.
We will take two particles a, b{\displaystyle a, b}.
Displaystyle\bigstar\bigstar\bigstar\bigstar}4* First Class In addition to the comfort star(***) hotels.
Abductive reasoning allows inferring a{\displaystyle a} as an explanation of b{\displaystyle b}.
Displaystyle\bigstar\bigstar\bigstar\bigstar\bigstar}5* Luxury In addition to the first class hotels.
Is the smallest natural number suchthat a k≠ b k{\displaystyle a_{k}\neq b_{k}}.
Displaystyle\bigstar\bigstar\bigstar\bigstar}4* First Class In addition to the comfort star(***) hotels.
Consider a plane sinusoidal pressure wave that has amplitude A 0{\displaystyleA_{0}} at some point.
A{\displaystyle a} might give us very good reason to accept b{\displaystyle b},but it does not ensure b{\displaystyle b}.
In the absence of any external magnetic field,the input current I{\displaystyle I} splits into the two branches equally.
The"undiscounted" game Γ∞{\displaystyle\Gamma_{\infty}} is the game wherethe payoff to player i{\displaystyle i} is the"limit" of the averages of the stage payoffs.
The Gauss- Seidel method is an iterative technique for solving a square system of n linear equations with unknown x:A x= b{\displaystyle A\mathbf{x}=\mathbf{b}}.
Mathematically, this translates as T 2∝ a 3{\displaystyle T^{2}\propto a^{3}}where T{\displaystyle T} is the orbital period of the planet and a{\displaystyle a} is the semi-major axis of the orbit.
In other words, for a given input size n greater than some n0 and a constant c, the running time of that algorithm will never be larger than c× f(n){\displaystyle c\times f(n)}.
In particular, for any A, s∈ C{\displaystyle A, s\in\mathbb{C}}, the system output is the product of the input A e s t{\displaystyle Ae^{st}} and the constant H( s){\displaystyle H(s)}.
In the absence of rounding errors, direct methods would deliver an exact solution(like solving alinear system of equations A x= b{\displaystyle A\mathbf{x}=\mathbf{b}} by Gaussian elimination).
This is because when a particle on a streamlinereaches a point, a 0{\displaystyle a_{0}}, further on that streamline the equations governing the flow will send it in a certain direction x→{\displaystyle{\vec{x}}}.
It is worth noting that this mean field directly depends on the number of nearest neighbors and thus on the dimension of the system(for instance, for a hypercubic lattice of dimension d{\displaystyle d}, z= 2 d{\displaystyle z=2d}).
Where T{\displaystyle T} is the time to expose the object(can be divided into exposure time/step size), I{\displaystyle I} is the beam current, D{\displaystyle D}is the dose and A{\displaystyle A} is the area exposed.
Formally, the angle variable is defined as the integral of the angular speed θ 1≡∫ ω 1( t)d t.{\displaystyle\theta_{1}\equiv\int\omega_{1}(t)\, dt.} A similar definition holds for θ2, the angle of the second particle.
Fix a finite field G F( q){\displaystyle GF(q)}, whose elements we call symbols. For the purposes of constructing polynomial codes, we identify a string of n{\displaystyle n} symbols a n-1… a 0{\displaystyle a_{n-1}\ldots a_{0}} with the polynomial.
With the static temperature after the shock,T*, known the speed of sound after the shock is defined as, A∗= γ R T∗{\displaystyle{A\sqrt{\gamma R{T with R as the gas constant and γ as the specific heat ratio.
Thus, in general, knowing that lim x→ c f( x)= 0{\displaystyle\textstyle\lim_{x\to c} f( x)\;=\; 0\!} and lim x→ c g( x)= 0{\displaystyle\textstyle\lim_{x\to c} g( x)\;=\; 0} is not sufficient to calculate the limit.
There are various approaches to obtaining the empirical distribution function from data: one method is to obtain the vertical coordinate for each point using F^= i- 0.3 n+ 0.4{\displaystyle{\widehat{F}}={\frac{i-0.3}{n+0.4}}}where i{\displaystyle i} is the rank of the data point and n{\displaystyle n} is the number of data points.
The confidence value of a rule, X⇒ Y{\displaystyle X\Rightarrow Y}, with respect to a set of transactions T{\displaystyle T}, is the proportion of the transactions that contains X{\displaystyle X} which also contains Y{\displaystyle Y}.
Thus confidence can be interpreted as an estimate of the conditional probability P( E Y|E X){\displaystyle P( E_{ Y}| E_{ X})}, the probability of finding the RHS of the rule in transactions under the condition that these transactions also contain the LHS.
The left hand side of the formula for p{\displaystyle p} expresses this point as a convex combination of the points in I{\displaystyle I}, and the right hand side expresses it as a convex combination of the points in J{\displaystyle J}. Therefore, p{\displaystyle p} belongs to both convex hulls, completing the proof.
Similarly, the torque about the CM will change the angular velocity ω{\displaystyle\omega} according to: F b= I d ω d t,{\displaystyle Fb=I{\frac{d\omega}{dt}},}where I{\displaystyle I} is the moment of inertia around the CM.
Then, according to the first law of thermodynamics,(1)d U+ δ W= δ Q= 0,{\displaystyle{\ text{( 1)}}\ qquad dU+\delta W=\delta Q=0,} where dU is the change in the internal energy of the system and δW is work done by the system.