
(pdf)
... Definition 1.4. The greatest common divisor of a and b, denoted d = g.c.d(a, b), is an integer which satisfies the following two properties (1) d|a and d|b, and also (2) if d0 |a and d0 |b, then d0 |d. By definition, if there are two greatest common divisors of a and b then, they divide each other a ...
... Definition 1.4. The greatest common divisor of a and b, denoted d = g.c.d(a, b), is an integer which satisfies the following two properties (1) d|a and d|b, and also (2) if d0 |a and d0 |b, then d0 |d. By definition, if there are two greatest common divisors of a and b then, they divide each other a ...
34(3)
... approximately twice the size they are to appear in print. Since the Fibonacci Association has adopted Fi = F2 = 1, Fn+i = F* + Fn-i, n > 2 and Li = 1, L2 = 3, Ln+i = L* + L«-i, n ^ 2 as the standard definitions for The Fibonacci and Lucas sequences, these definitions should not be a part of future p ...
... approximately twice the size they are to appear in print. Since the Fibonacci Association has adopted Fi = F2 = 1, Fn+i = F* + Fn-i, n > 2 and Li = 1, L2 = 3, Ln+i = L* + L«-i, n ^ 2 as the standard definitions for The Fibonacci and Lucas sequences, these definitions should not be a part of future p ...
39(2)
... has an integral solution (u, v, w) e N3. One can derive more equations in the system (1) but this is not necessary for our proof. The system (1) yields u3 + v3 = 2w3 with (u, v, w) GN3. ...
... has an integral solution (u, v, w) e N3. One can derive more equations in the system (1) but this is not necessary for our proof. The system (1) yields u3 + v3 = 2w3 with (u, v, w) GN3. ...
Full text
... Lemma: F o r every ntR and n £ Tn + Tn + 1 t h e r e e x i s t two T r i b o n a c c i numbers !FS and Tt such t h a t Ts + Tt + n i s e v e n , and Ts + Tt - n > 0 Ts + n - T t > 0 Tt + n - Ts > 0 VKOOJ: There are several cases. Let Tt < n < Tt + 1 where Tt and Tt + 1 are both even; then, if n is e ...
... Lemma: F o r every ntR and n £ Tn + Tn + 1 t h e r e e x i s t two T r i b o n a c c i numbers !FS and Tt such t h a t Ts + Tt + n i s e v e n , and Ts + Tt - n > 0 Ts + n - T t > 0 Tt + n - Ts > 0 VKOOJ: There are several cases. Let Tt < n < Tt + 1 where Tt and Tt + 1 are both even; then, if n is e ...
Public-Key Crypto Basics Paul Garrett
... curves can be similarly exploited. number field sieve: Descended from several sources, including Adleman, Pomerance, and Rumely (1983), which made novel use of exponential sums (hence, of irrational algebraic numbers) ...
... curves can be similarly exploited. number field sieve: Descended from several sources, including Adleman, Pomerance, and Rumely (1983), which made novel use of exponential sums (hence, of irrational algebraic numbers) ...
41(2)
... The first assertion we shall disprove states that there are infinitely many pairs of positive coprime integers x, y such that 2\y, x2 + y2 E D, and ...
... The first assertion we shall disprove states that there are infinitely many pairs of positive coprime integers x, y such that 2\y, x2 + y2 E D, and ...
Factorization
In mathematics, factorization (also factorisation in some forms of British English) or factoring is the decomposition of an object (for example, a number, a polynomial, or a matrix) into a product of other objects, or factors, which when multiplied together give the original. For example, the number 15 factors into primes as 3 × 5, and the polynomial x2 − 4 factors as (x − 2)(x + 2). In all cases, a product of simpler objects is obtained.The aim of factoring is usually to reduce something to “basic building blocks”, such as numbers to prime numbers, or polynomials to irreducible polynomials. Factoring integers is covered by the fundamental theorem of arithmetic and factoring polynomials by the fundamental theorem of algebra. Viète's formulas relate the coefficients of a polynomial to its roots.The opposite of polynomial factorization is expansion, the multiplying together of polynomial factors to an “expanded” polynomial, written as just a sum of terms.Integer factorization for large integers appears to be a difficult problem. There is no known method to carry it out quickly. Its complexity is the basis of the assumed security of some public key cryptography algorithms, such as RSA.A matrix can also be factorized into a product of matrices of special types, for an application in which that form is convenient. One major example of this uses an orthogonal or unitary matrix, and a triangular matrix. There are different types: QR decomposition, LQ, QL, RQ, RZ.Another example is the factorization of a function as the composition of other functions having certain properties; for example, every function can be viewed as the composition of a surjective function with an injective function. This situation is generalized by factorization systems.