Answer:
User Mode
Explanation:
Programs Can be Executed in two modes namely:
- <em>User Mode</em>
- <em>Kernel Mode</em>
User Mode
In User mode, the executing program has no ability to directly access hardware or reference memory. Program running in user mode must delegate to system APIs to access hardware or memory. Due to the protection afforded by this sort of isolation, crashes in user mode are always recoverable. Most of the program running on your computer will execute in user mode.
Kernel Mode
In Kernel mode, the executing program has complete and unrestricted access to the underlying hardware. It can execute any CPU instruction and reference any memory address. Kernel mode is generally reserved for the lowest-level, most trusted functions of the operating system. Crashes in kernel mode are catastrophic; they will halt the entire PC.
UTF-8- is a variable width character encoding capable of encoding all 1,112,064 valid code points in Unicode using one to four 8-bit bytes. The encoding is defined by the Unicode standard. The sac character encoding method was addressed to simplify the symbolism of letter and symbols.As the computers grew in capacity UTF-8 method was implemented to optimize such protocol allowing more characters to be included with an expanded string of possibilities
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Answer: True
Explanation:
Subset sum problem and Knapsack problem can be solved using dynamic programming.
In case of Knapsack problem there is a set of weights associative with objects and a set of profits associated with each object and a total capacity of knapsack let say C. With the help of dynamic programming we try to include object's weight such that total profit is maximized without fragmenting any weight of objects and without exceeding the capacity of knapsack, it is also called as 0/1 knapsack problem.
Similar to knapsack problem, in subset sum problem there is set of items and a set of weights associated with the items and a capacity let say C, task is to choose the subset of items such that total sum of weights associated with items of subset is maximized without exceeding the total capacity.
On the basis of above statements we can say that subset sum problem is generalization of knapsack problem.
