Computing time is directly linked to shortest paths calculations. The user has the choice between two kind of routing algorithms, depending the sparsity of OD matrix. By default, algorithm argument is set to bi
In the example below, multiple threads are spawned to do different calculations and then the program waits for all of them to finish.void foo(bool clause) { /* do something... */ } std::vector<std::thread> threadsVector; threadsVector.emplace_back([]() { // Lambda function that will...
[ilia@fedora sstp-client]$ cppcheck --force --enable=all . Checking src/libsstp-api/sstp-api.c ... 1/24 files...
The std::thread library provides a standard way to control threads, such as spawning and killing them. In the example below, multiple threads are spawned to do different calculations and then the program waits for all of them to finish.void foo(bool clause) { /* do something... */...
In the example below, multiple threads are spawned to do different calculations and then the program waits for all of them to finish.void foo(bool clause) { /* do something... */ } std::vector<std::thread> threadsVector; threadsVector.emplace_back([]() { // Lambda function that will...
In the example below, multiple threads are spawned to do different calculations and then the program waits for all of them to finish.void foo(bool clause) { /* do something... */ } std::vector<std::thread> threadsVector; threadsVector.emplace_back([]() { // Lambda function that will...
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