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In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that are solvable by a deterministic Turing machine in exponential time, i.e., in O(2 p(n)) time, where p(n) is a polynomial function of n.
The problem can be reduced to finding an effective procedure for determining whether any given exponential polynomial in variables and with coefficients in has a solution in . Macintyre & Wilkie (1996) showed that Schanuel's conjecture implies such a procedure exists, and hence gave a conditional solution to Tarski's problem. [ 2 ]
A decision problem is EXPSPACE-complete if it is in EXPSPACE, and every problem in EXPSPACE has a polynomial-time many-one reduction to it. In other words, there is a polynomial-time algorithm that transforms instances of one to instances of the other with the same answer. EXPSPACE-complete problems might be thought of as the hardest problems ...
The -SAT problem is a version of the Boolean satisfiability problem in which the input to the problem is a Boolean expression in conjunctive normal form (that is, an and of ors of variables and their negations) with at most variables per clause. The goal is to determine whether this expression can be made to be true by some assignment of ...
In the general case, however, the expression above is no longer the solution of the problem. The approach introduced by Magnus to solve the matrix initial-value problem is to express the solution by means of the exponential of a certain n × n matrix function Ω( t , t 0 ) :
Roughly $30 billion could be slashed from real estate agents’ commissions: Fed economists pose solution to the ‘anomaly’ in the American housing market Will Daniel March 6, 2024 at 5:36 PM
Myth 5: Real Estate Agents Aren’t Necessary in the Digital Age. ... The problem is, newer condos are getting harder to come by; according to our analysis, there are only about 2,500 available ...
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