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PRIMES is in P
We use log for base 2 logarithm, and ln for natural logarithm. N and Z denote the set of natural numbers and integers respectively. Given r ∈ N, a ∈ Z with (a,r) = 1, the order of a modulo r is the smallest number k such that ak = 1 (mod r). It is denoted as o r(a). For r ∈ N, φ(r) is Euler’s totient function giving the number of ...
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Basics of Probability and Probability Distributions
www.cse.iitk.ac.inFor a continuous r.v. X, we can only talk aboutprobability within an interval X 2(x;x + x) p(x) x is the probability that X 2 (x;x + x) as x ! 0 The probability density p(x) satis es the following p(x) 0 and Z x p(x)dx = 1 (note: for continuous r.v., p(x) can be >1) (IITK) Basics of Probability and Probability Distributions 5
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www.cse.iitk.ac.inStatistics Parameters Statistics Source Population Sample Notation Greek (e.g., μ) Roman (e.g., xbar) Vary No Yes Calculated No Yes . The Bayesian’s universe World Data Params Lklhd Generates Model Prior Inference Inference Magic . The statistician’s universe ... 3.00 5 185 170 0 stat SE x x z P ...
B.Tech. Project Report - IIT Kanpur
www.cse.iitk.ac.inSubsequently, the originator may use this object id to add points to the shape. The other fields in the protocol frames carry information about the attributes of the shape. 3.2 Shifting to Multicast After designing the application level skeleton for ‘WhiteBoard’, we changed the underly-ing delivery scheme from unicast to multicast.
DEEP LEARNING LIBRARY - IIT Kanpur
www.cse.iitk.ac.in1. How To Create A Mind By Ray Kurzweil - Is a inspiring talk 2. Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng 3. Recent Developments in Deep Learning By Geoff Hinton 4. The Unreasonable Effectiveness of Deep Learning by Yann LeCun 5. Deep Learning of Representations by Yoshua bengio 6.
Solving the 8-Puzzle using A* Heuristic Search
www.cse.iitk.ac.intime than that taken by an admissible heuristic. Experimental results show that the Nilsson Sequence Score heuristic finds a solution to the 8-puzzle much faster than all the admissible heuristics. CS365 Presentation by Aman Dhesi
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Logarithm Formulas - Austin Mohr
www.austinmohr.combase of your logarithm, and b is the base you would like to have instead. log a (x) = log b (x) log b (a) Cancellation Properties of Logarithms These rules are used to solve for x when x is an exponent or is trapped inside a logarithm. Notice that these rules work for any base. log a (a x) = x (this allows you to solve for x whenever it is in ...