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The engineering trade-off was therefore to use the fastest algorithm that could fit in the available memory. Modern computers are significantly faster than early computers and have a much larger amount of memory available (gigabytes instead of kilobytes). Nevertheless, Donald Knuth emphasized that efficiency is still an important consideration:
Time management is the process of planning and exercising conscious control of time spent on specific activities—especially to increase effectiveness, efficiency and productivity. [ 1 ] Time management involves demands relating to work , social life , family , hobbies , personal interests and commitments.
Although usually applied to time efficiency, an algorithm can be said to use asymptotically optimal space, random bits, number of processors, or any other resource commonly measured using big-O notation. Sometimes vague or implicit assumptions can make it unclear whether an algorithm is asymptotically optimal.
Special relativity says, the faster you go, the slower time goes. If you travelled a year at 95% the speed of light; you'd age one year, and people on Earth would age 3.2 years!
Graphs of functions commonly used in the analysis of algorithms, showing the number of operations N as the result of input size n for each function. In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm.
The amount of time an application takes to start up, or a file to download, is not made faster by showing a startup screen (see Splash screen) or a file progress dialog box. However, it satisfies some human needs: it appears faster to the user as well as provides a visual cue to let them know the system is handling their request.