Search Results for "algorithm"

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

In Computer Science, SHOBHIT-Improved String Search Algorithm is a string searching algorithm created by SHOBHIT UPADHYAYA in August, 2013. He is working as a Software Developer in Bangalore India. “This algorithm uses the first, last, mid1 and mid2 index of the substring for a pattern search.” TIME and SPACE Complexity: For a text of length n and substring of length m. Its best case, time complexity is O(m/4) and in worst case, time complexity is O(n – (m/4) ). ...

In Computer Science, SHOBHIT-Advance String Search Algorithm is a string searching algorithm created by SHOBHIT UPADHYAYA in 2013. He is working as a Software Developer in Bangalore India. “This algorithm uses the first and last index of the substring for a pattern search.” TIME and SPACE Complexity: For a text of length n and substring of length m. Its best case, time complexity is O(m/2) and in worst case, time complexity is O(n – (m/2) ).

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface.

Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and.

A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.

In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.