C++ imposes far greater restrictions on pointer typing than assembly language. There is only a single type of pointer in assembly, which is only "typed" in any sense when dereferenced, and even then only by size. C++ pointer typing takes into account not only the size of the type of the referent, but a number of other factors, such as its relationship to other types in the class hierarchy. The only way to disable these safety checks is to explicitly break the type system using reinterpret_cast.
getting stronger and stronger
plexiglass is 100 times stronger
Yes it is stronger.
Neither tensile strength nor compressive strength is inherently "stronger." Some materials are stronger in tension; other materials are stronger in compression. For example, rope is much stronger in tension than in compression, but concrete is much stronger in compression than in tension.
1015 is stronger
You can make a motor stronger by always checking the engine, checking the oil, and brake light functions. Makes sure that you drive safely and do not stall it.
There are far too many variables here to be able to answer this question.
Actually they get stronger and get more energy You can also have strength It is same for us!!
There is no language stronger than English.
Spoken language only moves the people who can hear it, here and now. Written language moves all who can read it, now and forever.
The Welsh take pride in their native language; the Irish do not.
some are- like the gulf stream and rip currents. but others are not strong. it depends on the location and other variables.
it could be that the differnt joints you use the stronger or weaker the product is
it could be that the differnt joints you use the stronger or weaker the product is
Randomizing the unwanted variables is one method of building a stronger causal argument. Controlling or a strong attempt at controlling the unwanted variables would be recommended. One variable, and only one should remain independent; this would ensure the dependent variable could be assessed in the proper light. Eliminating unwanted confounding variables my be necessary for a stronger causal argument; the confounding variables distort the conclusion in the causal argument. Eliminating unwanted variables could mean categorising data; it could mean separating data; it could mean some guess work, such as adding/subtracting figures like a statistician.
Yule's coefficient of association measures the strength and direction of association between two binary variables. It ranges from -1 to +1, with higher values indicating a stronger association. A coefficient of 0 suggests no association between the variables.
Itunes the one that says Clean beside it!!