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# Quiz: Algorithms Mock Tests on Dynamic Programming.

## This quiz contains information about Algorithms tests on Dynamic Programming. Are you a computer geek? Do you like everything that is connected to computer science? What do you know about algorithms and dynamic programming? There is a great saying about dynamic programming that says: "Those who cannot remember the past, are condemned to repeat it." Does that mean something to you? Dynamic Programming is a process for resolving a complicated problem by breaking it down into several simpler subproblems, fixing each of those subproblems just once, and saving their explications using a memory-based data composition (array, map, etc.). Every of the subproblem clarifications is listed in some form, typically based on the importance of its data parameters, to help its lookup. So the next time the identical subproblem happens, instead of recomputing its answer, one sooks up the previously computed solution, whereby saving computation time. This method of storing solutions to subproblems rather of recomputing them is called memoization. Any of this sounds familiar to you? Maybe, we are helping you with all this information, but we are here to see what do you know and how much do you know. So, what do we learned from this quick lesson? We have to separate a problem into a progression of covering sub-problems and develop answers for bigger and bigger sub-problems. On the off chance that you are given a problem, which can be separated into littler sub-issues, and these littler sub-issues can at present be broken into little ones - and if you figure out how to discover that there are some over-lapping sub-problems, at that point you've experienced a DP problem.

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## Dynamic programming is both a ...................... method and a computer programming method.

management
logical
mathematical optimization

charts
tables
problems

Alan Leman
Norman Villard
Richard Bellman

in 1960
in 1940
in 1970

Norman equation
Leman equation
Bellman equation

## We use a dynamic programming approach when the solution has -

known structure
optimal substructure
ALU substructure

## Which problems can be solved using dynamic programming?

Long sorting
Longest common subsequence

array
class
object

Listing
Mapping
Memoization

data filing
bioinformatics
sorting array

in 1986
in 1980
in 1970

Tom latham
Charles DeLisi
Alex Norman

in a file
in a list
in a table

overlapping
non-overlapping
definite

## While a top-down approach of dynamic programming is applied to a problem usually it decreases the time complexity and increases the ................. complexity.

file
list
space

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