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Aside from his work in theoretical computer science, Savitch wrote a number of textbooks for learning to program in C/C++, Java, Ada, Pascal and others. Savitch received his PhD in mathematics from University of California, Berkeley in 1969 under the supervision of Stephen Cook .
Some questions involve projects that the candidate has worked on in the past. A coding interview is intended to seek out creative thinkers and those who can adapt their solutions to rapidly changing and dynamic scenarios. [citation needed] Typical questions that a candidate might be asked to answer during the second-round interview include: [7]
In other words, if a nondeterministic Turing machine can solve a problem using () space, a deterministic Turing machine can solve the same problem in the square of that space bound. [1] Although it seems that nondeterminism may produce exponential gains in time (as formalized in the unproven exponential time hypothesis ), Savitch's theorem ...
The problem to determine all positive integers such that the concatenation of and in base uses at most distinct characters for and fixed [citation needed] and many other problems in the coding theory are also the unsolved problems in mathematics.
It is open if directed st-connectivity is in SC, although it is known to be in P ∩ PolyL (because of a DFS algorithm and Savitch's theorem). This question is equivalent to NL ⊆ SC. RL and BPL are classes of problems acceptable by probabilistic Turing machines in logarithmic space and polynomial time.
The "diamond problem" (sometimes referred to as the "Deadly Diamond of Death" [6]) is an ambiguity that arises when two classes B and C inherit from A, and class D inherits from both B and C. If there is a method in A that B and C have overridden , and D does not override it, then which version of the method does D inherit: that of B, or that of C?
Whether these problems are not decidable in polynomial time is one of the greatest open questions in computer science (see P versus NP ("P = NP") problem for an in-depth discussion). An important notion in this context is the set of NP-complete decision problems, which is a subset of NP and might be informally described as the "hardest ...
A decision problem is a computational problem where the answer for every instance is either yes or no. An example of a decision problem is primality testing: "Given a positive integer n, determine if n is prime." A decision problem is typically represented as the set of all instances for which the answer is yes. For example, primality testing ...