Search Results for "descent"

The Model Rocketry Spreadsheets is a collection of model rocketry formulas that have been converted for use utilizing the LibreOffice Calc program.

...Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. In general, emphasis is given in improving the efficiency of the algorithms in shared-memory models via java threads, since multi-core machines are so wide-spread today.

...MC filter and TV filter are exactly the same as described in the paper. However, the GC filter is slightly modified. Please cite the following papers if you use a curvature filter in your work. Traditional solvers, such as gradient descent or Euler Lagrange Euqation, start at the total energy and use diffusion scheme to carry out the minimization. When the initial condition is the original image, the data fitting energy always increases while the regularization energy always reduces during the optimization. Thus, regularization energy must be the dominant part since the total energy has to decrease. ...

# ASPI Kit - Adaptive Identification and Control Software This software is under development by the ASPICC group. Its purpose is to allow users to learn and experiment the use of Neural Networks (NN's) and related Computational Intelligence algorithms on their own data. Users can upload their own data and experiment with various algorithms of various setups to see how the algorithms performs on their data. Users can also investigate and familiarize themselves with the Python code of...

Toolkit for processing genetic data. Currently supports (command-line): Half-IBD (Identity by descent) aka HIRs - between 2 or any number of files (in distances and cM); RAW2PED, PED2RAW conversions; regions of homozygousity and other converters.

JPOP is a pure java parallel optimization package based on the Optimization Java Package. It supports analytical gradients and Hessians for non-linear optimization. JPOP is based on uncmin in Fortran but employs java arrays and object oriented code.

diCal-IBD can be used for predicting identical by descent (IBD) tracts in sequence data. It provides means for calculating the accuracy of the prediction, if the true tracts are available, plotting of the predicted tracts, their TMRCA (time to the most recent common ancestor) and corresponding posterior probabilities, and identification of putative recent positive selection through investigation of average IBD sharing

Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains: -- Limited Memory Quasi Newton (L-BFSG) -- BFSG -- Conjugate Gradient -- Gradient Descent -- Wolf condition Line Search -- Backtracking Line Search -- Exact Golden Search -- Golden Search with Wolf condition We also distribute a set of tests with the library.

Moved to https://bitbucket.org/bid/openrecon