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Page "Linear equation" ¶ 48
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When and θ
When the angle θ does not satisfy the above condition, the horizontal component of force exerted by the road does not provide the correct centripetal force, and an additional frictional force tangential to the road surface is called upon to provide the difference.
When θ is small, and therefore the expression becomes
When E < sub > R </ sub > equals E < sub > L </ sub > ( when there is no difference in the absorbance of right-and left-circular polarized light ), θ is 0 ° and the light is linearly polarized.
When either E < sub > R </ sub > or E < sub > L </ sub > is equal to zero ( when there is complete absorbance of the circular polarized light in one direction ), θ is 45 ° and the light is circularly polarized.
When a Givens rotation matrix, G ( i, k, θ ), multiplies another matrix, A, from the left, GA, only rows i and j of A are affected.
When k is even, the entire graph of the rose will be traced out exactly once when the value of θ changes from 0 to 2π.
When the angle through which the one pair is rotated is θ, what fractions of the light that penetrates when the angle is 0, gets through?
When the two pendulums are identical ( L < sub > a </ sub > = L < sub > b </ sub >), θ is 45 °.
When θ = 0, the probability is 1 that all n genes are the same.
When θ = 1, then the distribution is precisely that of the integer partition induced by a uniformly distributed random permutation.
When 90 ° < θ ≤ 180 °, a < sub > 1 </ sub > has an opposite direction with respect to b.
When the angle θ is much less than one radian, its powers θ < sup > 2 </ sup >, θ < sup > 3 </ sup >, ... decrease rapidly, so only a few are needed.
When θ increases from 0 to π radians φ varies from the initial value 0 to a maximal value to finally return to zero for θ = π.
the value R-r. When then θ increases from 0 to
When used to represent a rotation, a versor q = e < sup ></ sup > will rotate any quaternion vector v through the angle θ around the unit vector r through the sandwiching product qvq < sup >− 1 </ sup >.
When estimating the parameters for Poisson regression, one typically tries to find values for θ that maximize the likelihood of an expression of the form

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