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Peak efficiency of the gas turbine was 15-16%; note that these numbers do not include losses from the electrical power transmission. Efficiency was low compared to contemporary diesel engines which typically had fuel efficiencies around 26-28%. [1] Poor efficiency was a major reason why gas turbine locomotives were not widely adopted. [2]
Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.
Optimizing a whole system is usually undertaken by programmers because it is too complex for automated optimizers. In this situation, programmers or system administrators explicitly change code so that the overall system performs better. Although it can produce better efficiency, it is far more expensive than automated optimizations.
Low or no minimums. The best savings accounts require no minimum deposit or balance to earn interest, though you might be required to open with a minimum deposit or maintain a specific monthly ...
In a fractious America, there’s still one thing that people can agree on: Shaboozey’s “A Bar Song (Tipsy).” The Virginian’s country flip of an old J-Kwon hit rang out from bars ...
Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process. For maximum efficiency it is desirable to minimize resource usage. However, different resources such as time and space complexity cannot be compared directly, so which of two algorithms is considered to be more efficient ...
5. Panzanella salad. Here’s a trivia tidbit you probably won’t need to save your life, ... Just soak the bread in a good amount of water—but not too much, or you’ll end up with sogginess. ...
In computing, load balancing is the process of distributing a set of tasks over a set of resources (computing units), with the aim of making their overall processing more efficient. Load balancing can optimize response time and avoid unevenly overloading some compute nodes while other compute nodes are left idle.