pseudorandom sample
1Random sample — A sample is a subject chosen from a population for investigation. A random sample is one chosen by a method involving an unpredictable component. Random sampling can also refer to taking a number of independent observations from the same… …
2Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …
3German tank problem — During World War II, production of German tanks such as the Panther was accurately estimated by Allied intelligence using statistical methods. In the statistical theory of estimation, estimating the maximum of a uniform distribution is a common… …
4Noise shaping — is a technique typically used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit depth reduction of a digital signal. Its purpose is to increase the apparent signal… …
5Cycle detection — This article is about iterated functions. For another use, see Cycle detection (graph theory). In computer science, cycle detection is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any function ƒ that… …
6Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… …
7Hardware random number generator — This SSL Accelerator computer card uses a hardware random number generator to generate cryptographic keys to encrypt data sent over computer networks. In computing, a hardware random number generator is an apparatus that generates random numbers… …
8Statistical randomness — A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal die roll, or the digits of π exhibit statistical randomness.Statistical randomness does not …
9Multiply-with-carry — In computer science, multiply with carry (MWC) is a method invented by George Marsaglia for generating sequences of random integers based on an initial set of from two to many thousands of randomly chosen seed values. The main advantages of the… …
10C++11 — C++11, also formerly known as C++0x,[1] is the name of the most recent iteration of the C++ programming language, replacing C++TR1, approved by the ISO as of 12 August 2011.[2] The name is derived from the tradition of naming language versions by …
