Is C STL slow?

Are STL containers slow?

Folks often will say STL containers are slow in debug, other folks say they aren’t. Frankly, both are true. “Slow” as a negative statement depends both on what you are doing with them, as well as your need for debug performance. … This is in MSVC 2017, debug x64, using default project settings.

Is STL slow?

STL is usually faster at runtime than either C-style solutions with callback pointers or polymorphism-based solutions with virtual methods (see also this Bjarne Stroustrup’s keynote).

Is boost fast C++?

C++ is faster if you chuck the “safety” features of programming languages and avoid things like STL, and Boost. In raw bytes to bytes C++ is faster, but then again so is C. The moment you add the baggage of STL, and Boost you are slower than well written C# code.

Is C++ STL good?

What is so great about the STL ? The STL is great in that it was conceived very early and yet succeeded in using C++ generic programming paradigm quite efficiently. It separated efficiently the data structures: vector , map , … and the algorithms to operate on them copy , transform , …

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Is there an STL for C?

4 Answers. C can’t have an “exact equivalent” of STL because C doesn’t have templates or classes.

What is Flat_map?

A flat_map is a kind of associative container that supports unique keys (contains at most one of each key value) and provides for fast retrieval of values of another type T based on the keys. The flat_map class supports random-access iterators. … A flat_map also provides most operations described for unique keys.

Are arrays faster than vector C++?

A std::vector can never be faster than an array, as it has (a pointer to the first element of) an array as one of its data members. But the difference in run-time speed is slim and absent in any non-trivial program. One reason for this myth to persist, are examples that compare raw arrays with mis-used std::vectors.

Should I use STL?

You should use STL, because it is well tested and optimized. That doesn’t mean you shouldn’t know how to write these data structures yourself. With that ability under your belt, you will be able to choose the best STL data structure for your application. STL implementations are generally not optimized.

Which is better array or vector?

Vector is better for frequent insertion and deletion, whereas Arrays are much better suited for frequent access of elements scenario. Vector occupies much more memory in exchange for managing storage and growing dynamically, whereas Arrays are a memory-efficient data structure.

Is Boost C++ still useful?

After 20 years of active Boost development, it’s now recognized as a very powerful C++ library, for each major version many C++ libraries from the community were added. The Boost reviewers have an advanced C++ skills and their contributions guarantee a high quality for many years.

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Is C++ Boost bad?

Boost is not yet part of the C++ standard and may not be available on the specific platform the questioner is using. Installing it is a bit painful (I just did it using Jam) and is way overkill if all you want are a few smart pointers.

What is Boost C++ used for?

Boost is a set of libraries for the C++ programming language that provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing.

Why is STL so unreadable?

As soon as you read certain amount of the code, suddenly, STL implementations stop being unreadable and become clear and obvious. When the documentation fails to provide you details, it is because the details are subject to change.

Should I use C++ Standard Library?

You should use standard libraries in all languages, not only C++. That’s pretty much a basic rule in programming these days. Your impression is wrong; any good project will benefit from building upon known, tested, libraries.

Why STL is very powerful in advanced functionality in C++ language?

The STL exemplifies generic programming rather than object-oriented programming, and derives its power and flexibility from the use of templates, rather than inheritance and polymorphism. It also avoids new and delete for memory management in favor of allocators for storage allocation and deallocation.