Examples of using Problems that can be solved in English and their translations into Portuguese
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Reviewing the types of problems that can be solved.
Having deduced such proper set inclusions, we can proceed to make quantitative statements about how muchmore additional time or space is needed in order to increase the number of problems that can be solved.
For example, there are problems that can be solved with"n"2 time but not"n" time.
We show how trigonometry was used in antiquity andpresent some situations problems that can be solved using trigonometry.
The problems that can be solved through the machine learning approach also have influence on particularities of the implemented algorithms, they are divided in three large groups: regression, classification and clustering.
It is suspected that L≠ P;that is, that some problems that can be solved in polynomial time also require more than logarithmic space.
Having deduced such proper set inclusions, we can proceed to make quantitative statements about how much more additional time orspace is needed in order to increase the number of problems that can be solved.
EXPTIME can also be reformulated as the space class AEXPSPACE, the problems that can be solved by an alternating Turing machine in exponential space.
If we denote by SPACE(t(n)),the set of all problems that can be solved by Turing machines using O(t(n)) space for some function t of the input size n, then we can define PSPACE formally as P S P A C E⋃ k∈ N S P A C E( n k).{\displaystyle{\mathsf{ PSPACE}}=\ bigcup_{ k\ in\ mathbb{ N}}{\mathsf{ SPACE}}( n^{ k}).} PSPACE is a strict superset of the set of context-sensitive languages.
The main object of the present work aims to equip students andteachers for the understanding and the solution of problems that can be solved by using the diophantine equations with two or more unknowns.
Thus, the main objective of this work is a proposal of problems that can be solved with a polygon decomposition, as suggestions of activities so that the elementary school teacher can apply his pedagogical practice.
Just as it is widely suspected that P does not equal NP, so it is widely suspected that NC does not equal P. Similarly,the class L contains all problems that can be solved by a sequential computer in logarithmic space.
An alternative characterization of PP is the set of problems that can be solved by a nondeterministic Turing machine in polynomial time where the acceptance condition is that a majority(more than half) of computation paths accept.
More precisely, EXPTIME≠ NEXPTIME if andonly if there exist sparse languages in NP that are not in P. EXPTIME can also be reformulated as the space class APSPACE, the problems that can be solved by an alternating Turing machine in polynomial space.
In fact, the Cobham-Edmonds thesis states that only those problems that can be solved in polynomial time can be feasibly computed on some computational device.
Similarly, it is not known if L(the set of all problems that can be solved in logarithmic space)is strictly contained in P or equal to P. Again, there are many complexity classes between the two, such as NL and NC, and it is not known if they are distinct or equal classes.
We are used to living in the conditions that we're all too familiar with, such as crime, hate, wars, pollution, overpopulation, famines, economic crises, poverty, abuse of power, corruption and so on,but these are all problems that can be solved if we all take responsibility for our own life and the entirety of us and if we halt anyone who behaves in destructive and disruptive manners early on.
Formal definition==If we denote by SPACE(" t"(" n")),the set of all problems that can be solved by Turing machines using" O"(" t"(" n")) space for some function"t" of the input size"n", then we can define PSPACE formally as: formula_1PSPACE is a strict superset of the set of context-sensitive languages.
A typical complexity class has a definition of the form:the set of problems that can be solved by an abstract machine M using O(f(n)) of resource R, where n is the size of the input.
Look, only for cataracts, a problem that can be solved, as well as all others, but this is far more simple.
He says that if we have got a problem that can be solved, there's no point in getting angry, upset or worried.
Whenever someone in my family has a problem that can be solved by taking otherwise expensive prescription medications, I come right here.
Norms and notions about morality address emerging attitudes andbehaviors in the decisions about problems that could be solved in a regular traditional or legally established way.
A problem that can be solved in theory(e.g. given large but finite resources, especially time), but for which in practice any solution takes too many resources to be useful, is known as an intractable problem. .
Anyway, unfortunately, this is not a problem that can be solved in a short amount of time, but through proactive initiatives and a variety of resources, it's something that we can certainly improve.
The other essential word is solidarity because, as has been said,this is not an issue or a problem that can be solved by only one Member State, or even by two or three.
Look outside the company: research which existing technology could be applied to the company's processes;identify a problem that could be solved with technology, do a test,“rotate the PDCA cycle” and see the results- you will be surprised.
In words, given a parallel computer C witha polynomial number O(nk) of processors for some constant k, any problem that can be solved on C in O(log n) time is in L, and any problem in L can be solved in O(log2 n) time on C. Important open problems include whether L P, and whether L NL.
This reality reflects a reversal of the flow of service and diagnosis of pulmonary TB, since it advocates the PHC as the front door to SUS, as well as suggests the inability of the basic network to identify community needs and caring for them,which causes overcrowding of the emergency room with problems that could be solved in other levels of care.
Consider a problem that can be solved using a recursive algorithm such as the following: procedure p( input x of size n): if n< some constant k: Solve x directly without recursion else: Create a subproblems of x, each having size n/b Call procedure p recursively on each subproblem Combine the results from the subproblems The above algorithm divides the problem into a number of subproblems recursively, each subproblem being of size n/b.