In order to be more efficient, algorithms may be designed with the organization of computer memory in mind. Especially important is being away of, not main memory, but the cache and register sizes of the CPU.
Andrew Binstock has written: 'Programming with Intel Extended Memory 64 Technology' 'Practical algorithms for programmers' -- subject(s): C (Computer program language), Computer algorithms
Motherboard
A. Shen has written: 'Algorithms and programming' -- subject(s): Computer algorithms, Computer programming
The only memory cards you wouldn't need a reader for are ones you would never need to connect to a computer. By definition, memory cards need a reader to be connected to a computer.
The Front Side Bus (FSB) connects the processor (CPU) in your computer to the system memory.
A secure computer network is one that not connected to any other network.That may sound simplistic and trite, but it is the truth. In this day and age of super sophisticated decryption algorithms, it is the only way.
algorism
you view them by a. through the actual camera b. through the computer in order to veiw them through the computer you must have a. the adapter chord that connects to the computer to the camera or b. have a memory stick reader that is connected to the computer. you would then place the memory card in the reader. these things usually run for about 10-20 dollars
Elisabeth C. Salander has written: 'Computer search algorithms' -- subject(s): Computer algorithms, Querying (Computer science), Database searching
No. Indeed, algorithms are actually meant for humans, not computers. Computer programmers translate algorithms into working code such that a computer can process the algorithm. The code is actually the implementation of the algorithm, not the algorithm itself.
Daniel H. Greene has written: 'Mathematics for the analysis of algorithms' -- subject(s): Computer algorithms, Computer programming
Auxiliary space refers to the extra space or memory that an algorithm uses to perform its operations. It impacts the efficiency of algorithms because algorithms with higher auxiliary space requirements may consume more memory and potentially slow down the overall performance of the algorithm. In contrast, algorithms with lower auxiliary space requirements are generally more efficient as they use less memory and can run faster.