Examples of using Memory space in English and their translations into Serbian
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The values are stored in memory space.
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Insertion sort algorithm requires less memory space.
It consumes linear memory space, the data elements are required to store in a sequential manner in the memory. .
This eventually would require exponential memory space.
It represents the total amount of memory space that a"normal" physical computer would need to solve a given computational problem with a given algorithm.
In contrast, the Merge sort algorithm requires more memory space.
On the other hand, It requires minimal 1.7 gigas memory space, and wearing out the computer battery.
Offline search, GPS navigation along with optimized maps to effectively save memory space.
Due to fragmentation,the system fails to allocate memory space adjacent to a process even if it has the required amount of memory but, in a non-contiguous way.
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Memory space with the size of an unsigned pointer is commonly used for this task, meaning that 32 or 64 bits of reference count storage must be allocated for each object.
P is also known to beat least as large as L, the class of problems decidable in a logarithmic amount of memory space.
This is the amount of virtual memory space that the process is using, included shared libraries, graphics memory, files on disk, and so on. This number is almost meaningless.
Spectre is a vulnerability that tricks a program into accessing arbitrary locations in the program's memory space.
A subroutine frequently needs memory space for storing the values of local variables, the variables that are known only within the active subroutine and do not retain values after it returns.
The vulnerability allows an unauthorized process to read data from any address that is mapped to the current process's memory space.
Although use of"packed" structures is most frequently used to conserve memory space, it may also be used to format a data structure for transmission using a standard protocol.
Whenever a process is loaded or removed from the physical memory block,it creates a small hole in memory space which is called fragment.
A call stack may serve additional purposes, including for example:Local data storage A subroutine frequently needs memory space for storing the values of local variables, the variables that are known only within the active subroutine and do not retain values after it returns.
Network users have activated this softfork in August in order to optimize the structure of block transactions so thatthey would occupy less memory space.
In ARM-based machines,peripheral devices are usually attached to the processor by mapping their physical registers into ARM memory space, into the coprocessor space, or by connecting to another device(a bus) that in turn attaches to the processor.
Generally if there are only a few small parameters, processor registers will be used to pass the values, butif there are more parameters than can be handled this way, memory space will be needed.
On& Linux; and& UNIX;-based systems every process runs independently in its own memory space so it ca n't accidentally overwrite any other processes memory, unless of course it has root privileges. If a process in& kde; crashes due to a bug one should not need to worry about it accessing any other active process.
I downloaded EasyBCD MiniTool all good until the creation part,may not change the memory space 7.48MB shows me only space. .
The simple naive"one large sieving array" sieves of any of these sieve types take memory space of about O(N), which means that 1 they are very limited in the sieving ranges they can handle to the amount of RAM memory available and 2 that they are typically quite slow since RAM memory access speed typically becomes the speed bottleneck more than computational speed once the array size grows beyond the size of the CPU caches.
They transmit at a low, limited frequency range andlack additional security features such as two-way communication, memory space and processing power for other applications.
The simple naive"one large sieving array" sieves of any of these sieve types take memory space of about< math> O( N)</ math>, which means that 1 they are very limited in the sieving ranges they can handle to the amount of RAM memory available and 2 that they are typically quite slow since RAM memory access speed typically becomes the speed bottleneck more than computational speed once the array size grows beyond the size of the CPU caches.
In computational complexity theory, L(also known as LSPACE or DLOGSPACE)is the complexity class containing decision problems that can be solved by a deterministic Turing machine using a logarithmic amount of writable memory space.
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