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A diffuser sheet is placed on both sides of the prism sheet to distribute the light of the backlight uniformly, while a mirror is placed behind the light guide plate to direct all light forwards. The prism sheet with its diffuser sheets are placed on top of the light guide plate.
In the United States, the Electoral College is the group of presidential electors that is formed every four years during the presidential election for the sole purpose of voting for the president and vice president. The process is described in Article II of the U.S. Constitution. [1] The number of electoral votes a state has equals its number ...
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
New data from Freddie Mac shows average mortgage rates for 30-year terms sliding closer to 6.00% as of Friday, September 20, 2024, rounding out a week in which the Federal Reserve announced a long ...
A new study finds that weight loss drugs Like Ozempic could trigger bone loss. Doctors explain why, and how to protect yourself if you take one of these drugs.
The geometric series is an infinite series derived from a special type of sequence called a geometric progression, which is defined by just two parameters: the initial term and the common ratio . Finite geometric series have a third parameter, the final term's power.
Nonstandard analysis. v. t. e. In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor series are equal near this point.
Eigenvalues and eigenvectors. In linear algebra, an eigenvector (/ ˈaɪɡən -/ EYE-gən-) or characteristic vector is a vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector, , of a linear transformation, , is scaled by a constant factor, , when the linear transformation is applied to it: .