
EEE244 Numerical Methods in Engineering
... Cholesky Factorization • Symmetric systems occur commonly in both mathematical and engineering/science problem contexts, and there are special solution techniques available for such systems. • The Cholesky factorization is one of the most popular of these techniques, and is based on the fact that ...
... Cholesky Factorization • Symmetric systems occur commonly in both mathematical and engineering/science problem contexts, and there are special solution techniques available for such systems. • The Cholesky factorization is one of the most popular of these techniques, and is based on the fact that ...
The Power of Depth 2 Circuits over Algebras
... T HEOREM 3. Identity testing for depth 3 (ΣΠΣ) circuits is polynomial time equivalent to identity testing for depth 2 (ΠΣ) circuits over U2 (F). The above theorem has an interesting consequence on identity testing for Algebraic Branching Program (ABP) [Nis91]. It is known that identity testing for n ...
... T HEOREM 3. Identity testing for depth 3 (ΣΠΣ) circuits is polynomial time equivalent to identity testing for depth 2 (ΠΣ) circuits over U2 (F). The above theorem has an interesting consequence on identity testing for Algebraic Branching Program (ABP) [Nis91]. It is known that identity testing for n ...
數學名詞翻譯 - uSchoolnet
... list-list the prime factors of numbers contest-have a contest to find which number has the most of each prime factor multiply-multiply the prime factors from the contest multiply all the different factors is the smallest multiple that is shared by two or more numbers 29. exponents(指數) :4=2‧2=22 is r ...
... list-list the prime factors of numbers contest-have a contest to find which number has the most of each prime factor multiply-multiply the prime factors from the contest multiply all the different factors is the smallest multiple that is shared by two or more numbers 29. exponents(指數) :4=2‧2=22 is r ...
SPRINGER’S REGULAR ELEMENTS OVER ARBITRARY FIELDS
... Question 4. Does the same conclusion hold (i.e. the cyclic sieving phenomenon for (X, X(t), C) where X = G/H and X(t) is defined as in (2.4)) without any hypotheses on the subgroup H? An affirmative answer to Question 4 would have useful consequences. Firstly, it would provide many more examples of ...
... Question 4. Does the same conclusion hold (i.e. the cyclic sieving phenomenon for (X, X(t), C) where X = G/H and X(t) is defined as in (2.4)) without any hypotheses on the subgroup H? An affirmative answer to Question 4 would have useful consequences. Firstly, it would provide many more examples of ...
Distributed by: Class Notes: 9/3/09
... set closed under a “binary operation.” A binary operation on a set G is a method by which the members of an ordered pair (a, b) from G combine to yield a new member of G denoted by ab. This condition is called closure. Examples of binary operations include ordinary addition, subtraction, and multipl ...
... set closed under a “binary operation.” A binary operation on a set G is a method by which the members of an ordered pair (a, b) from G combine to yield a new member of G denoted by ab. This condition is called closure. Examples of binary operations include ordinary addition, subtraction, and multipl ...
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.