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Quiz

Other Algorithms

j.bothwell 24 Fragen

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Fragen in diesem Quiz (24)

  1. 1What is the space complexity of the iterative Bigsum algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  2. 2What is the time complexity of the iterative Bigsum algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  3. 3What is the space complexity of the recursive Bigsum algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  4. 4What is the time complexity of the recursive Bigsum algorithm?
    1. AO(1)
    2. BO(n)
    3. CO(logn)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  5. 5What is the space complexity of the iterative Euclidean algorithm?
    1. AO(1)
    2. BO(n)
    3. CO(logn)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(n!)
    8. HO(2^n)
  6. 6What is the time complexity of the iterative Euclidean algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  7. 7What is the space complexity of the recursive Euclidean algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)
  8. 8What is the time complexity of the recursive Euclidean algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(n!)
    8. HO(2^n)
  9. 9What is the space complexity of the iterative Factorial algorithm?
    1. AO(1)
    2. BO(logn)
    3. CO(n)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(n!)
    8. HO(2^n)
  10. 10What is the time complexity of the iterative Factorial algorithm?
    1. AO(1)
    2. BO(n)
    3. CO(logn)
    4. DO(nlogn)
    5. EO(n^2)
    6. FO(n^3)
    7. GO(2^n)
    8. HO(n!)

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Quiz am Other Algorithms, erstellt von j.bothwell am 22/04/2015.
Sprache
English
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