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Course Outline - PMath 766 -Introduction to Knot Theory
Course Outline - PMath 766 -Introduction to Knot Theory

... 1. Quantum entanglement and topological entanglement: Here we will introduce basic notions of quantum physics and quantum computation, and study the entangling properties of braiding operators from the point of view of topology and from the point of view of quantum physics. 2. Topology of DNA. We wi ...
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... problem is in NP and presented a polynomial time algorithm addition, the hamantach may have at m in any point — if only 3 are allowed to intersect in a point, we for the special case where we allow at most 4 faces to intersect touching all three corners. In [5] ther get the usual planar graphs. ...
Math 50 - North Carolina Central University
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... the different number of swappings to form the partitions. In case a) there will be practically no swappings, since the elements are in correct order with respect to the pivot. In case b) the first step will require swapping all elements, and after that they will be in correct order, so the next step ...
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... A. A prime number is a whole number greater than 1 that has only two factors (itself and 1). Examples: 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, … B. A composite number is a whole number greater than 1 that is not prime. That is, a composite number will have at least one factor other than 1 and the number ...
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Word file - UC Davis

... Devise an algorithm that replace each term of a finite sequence of integers with the sum of the square of the terms preceding it in the sequence, leaving the first term identical. Example: replace S={1,3,5,6,7} with {1,1, 10, 35, 71} (i.e. the first 1 stays identical; 3 is replaced with 12; 5 is rep ...
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Two proofs of the infinitude of primes Ben Chastek

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... amount in cents, and you want to make change using a system of denominations, using the smallest number of coins possible. Sometimes the greedy algorithm gives the optimal solution. But sometimes (as we have seen) it does not -- an example was the system (12, 5, 1), where the greedy algorithm gives ...
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hw2.pdf

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Factorization of polynomials over finite fields

In mathematics and computer algebra the factorization of a polynomial consists of decomposing it into a product of irreducible factors. This decomposition is theoretically possible and is unique for polynomials with coefficients in any field, but rather strong restrictions on the field of the coefficients are needed to allow the computation of the factorization by means of an algorithm. In practice, algorithms have been designed only for polynomials with coefficients in a finite field, in the field of rationals or in a finitely generated field extension of one of them.The case of the factorization of univariate polynomials over a finite field, which is the subject of this article, is especially important, because all the algorithms (including the case of multivariate polynomials over the rational numbers), which are sufficiently efficient to be implemented, reduce the problem to this case (see Polynomial factorization). It is also interesting for various applications of finite fields, such as coding theory (cyclic redundancy codes and BCH codes), cryptography (public key cryptography by the means of elliptic curves), and computational number theory.As the reduction of the factorization of multivariate polynomials to that of univariate polynomials does not have any specificity in the case of coefficients in a finite field, only polynomials with one variable are considered in this article.
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