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Hace 17 horas · #CSIRNET #GATE #MSC #CUETPG #iitjam #bscmath #mscmath #realanalysis Get PDF Notes of this session here ⏬️Download App - https://bit.ly/sbtechappFor Previous ...
Hace 17 horas · Johann Carl Friedrich Gauss (German: Gauß [kaʁl ˈfʁiːdʁɪç ˈɡaʊs] ⓘ; Latin: Carolus Fridericus Gauss; 30 April 1777 – 23 February 1855) was a German mathematician, astronomer, geodesist, and physicist who contributed to many fields in mathematics and science. He ranks among history's most influential mathematicians and has been referred to as the "Prince of Mathematicians".
Hace 17 horas · Zero-point energy (ZPE) is the lowest possible energy that a quantum mechanical system may have. Unlike in classical mechanics, quantum systems constantly fluctuate in their lowest energy state as described by the Heisenberg uncertainty principle. Therefore, even at absolute zero, atoms and molecules retain some vibrational motion.Apart from atoms and molecules, the empty space of the vacuum ...
Hace 17 horas · A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Informally, this may be thought of as, "What happens next depends only on the state of affairs now."A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete ...
Hace 17 horas · t. e. In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes. Given a discrete random variable , which takes values in the set and is distributed according to , the entropy is. where denotes the sum over the variable's possible values.
Hace 17 horas · #TJK5.0 #CSIRNET #GATE #MSC #CUETPG #iitjam Get PDF Notes of this session here ⏬️Download App - https://bit.ly/sbtechappFor Previous Year Questions ⏬️Downloa...
Hace 17 horas · Chebyshev's inequality. In probability theory, Chebyshev's inequality (also called the Bienaymé–Chebyshev inequality) provides an upper bound on the probability of deviation of a random variable (with finite variance) from its mean. More specifically, the probability that a random variable deviates from its mean by more than is at most ...
