YoVDO

Distributed Parametric Optimization with the Geneva Library

Offered By: CppNow via YouTube

Tags

C++Now Courses Gradient Descent Courses Simulated Annealing Courses Evolutionary Algorithms Courses Boost Libraries Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the Geneva library, an open-source collection of distributed optimization algorithms, in this conference talk from BoostCon 2011. Learn how Geneva leverages various Boost libraries to solve large-scale parametric optimization problems across multi-core systems, clusters, and cloud environments. Discover the library's support for gradient descents, evolutionary algorithms, and swarm algorithms, with plans to include simulated annealing. Understand how Geneva's unified data structures allow candidate solutions to move freely between optimization algorithms. Gain insights into the library's scalability, having been tested with hundreds of clients working simultaneously on optimization problems. Hear about the presenter's experiences using Boost libraries such as Serialization, Threads, Conversion, Date/Time, Function, and Bind from a user's perspective.

Syllabus

Distributed parametric optimization with the Geneva library - Ruediger Berlich [ BoostCon 2011 ]


Taught by

CppNow

Related Courses

SOLID C++
Udemy
Surveying the C++ Community
CppNow via YouTube
Taking the Plunge Towards CMake in Boost
CppNow via YouTube
The View from a Standard Library Implementor
CppNow via YouTube
Rise of the State Machines
CppNow via YouTube