sum of products การใช้

• Use the distributive law to turn that expression into a sum of products.
• The logarithm of such a function is a sum of products, again easier to differentiate than the original function.
• An ML datatype can be thought of as a disjoint union of tuples ( or a " sum of products " ).
• Given the truth table of a logical function, it is possible to write the function as a " sum of products ".
• The nodes at the lowest level represent sums of products of even-length cycles of the singleton \ mathcal { Z }.
• This series converges when | " z " | < 1 and can also be expressed as a sum of products:
• In higher dimensions you come across slightly more complex rotors, e . g . ones which are sums of products of vectors.
• The checksum is calculated as sum of products-taking an alternating weight value ( 3 or 1 ) times the value of each data digit.
• The permanent is defined similarly to the determinant, as a sum of products of sets of matrix entries that lie in distinct rows and columns.
• If a datatype is recursive, the entire sum of products is wrapped in a recursive type, and each constructor also rolls the datatype into the recursive type.
• The standard separation of variables theorem states that every multivariate polynomial over a field can be decomposed as a finite sum of products of a radical polynomial and a harmonic polynomial.
• In mathematics, an "'expansion "'of a product of sums expresses it as a sum of products by using the fact that multiplication distributes over addition.
• One can easily form the canonical sum of products expression from this table, simply by summing the minterms ( leaving out don't-care terms ) where the function evaluates to one:
• But it's the same thing, the sum of products and what WA says is it's NOR form are different functions talk ) 09 : 19, 7 September 2014 ( UTC)
• It is well-known how to do this mechanically : you expand all products of sums to sums of products, then group terms with the same variables together and see if the coefficient of all terms is zero.
• The difference between FPGAs and CPLDs is that FPGAs are internally based on Look-up tables ( LUTs ) whereas CPLDs form the logic functions with sea-of-gates ( e . g . sum of products ).
• The main distinction between FPGA and CPLD device architectures is that FPGAs are internally based on look-up tables ( LUTs ) while CPLDs form the logic functions with sea-of-gates ( for example, sum of products ).
• In theory, the coefficients of the characteristic polynomial can be computed exactly, since they are sums of products of matrix elements; and there are algorithms that can find all the roots of a polynomial of arbitrary degree to any required accuracy.
• On your first point, the state space IS H _ A \ otimes H _ B, but you can't write arbitrary elements of that space as a sum of products of elements of the subspaces weighted by a i b j.
• Expansion of a polynomial expression can be obtained by repeatedly replacing subexpressions that multiply two other subexpressions, at least one of which is an addition, by the equivalent sum of products, continuing until the expression becomes a sum of ( repeated ) products.