The STochastic OPTimization library (StOpt) aims at providing tools in C++ for solving some stochastic optimization problems encountered in finance or in the industry. Different methods are available: - dynamic programming methods based on Monte Carlo with regressions (global, local, kernel and sparse regressors), for underlying states following some uncontrolled Stochastic Differential Equations; - dynamic programming with a representation of uncertainties with a tree: transition problems are here solved by some discretizations of the commands, resolution of LP with cut representation of the Bellman values; - Semi-Lagrangian methods for Hamilton Jacobi Bellman general equations for underlying states following some controlled Stochastic Differential Equations; - Stochastic Dual Dynamic Programming methods to deal with stochastic stock management problems in high dimension. Uncertainties can be given by Monte Carlo and can be represented by a state with a finite number of values (tree); - Some branching nesting methods to solve very high dimensional non linear PDEs and some appearing in HJB problems. Besides some methods are provided to solve by Monte Carlo some problems where the underlying stochastic state is controlled. For each method, a framework is provided to optimize the problem and then simulate it out of the sample using the optimal commands previously computed. Parallelization methods based on OpenMP and MPI are provided in this framework permitting to solve high dimensional problems on clusters. The library should be flexible enough to be used at different levels depending on the user's willingness.

This library implements the basic OPRF (ristretto255, SHA-512) variant from the "Oblivious Pseudorandom Functions using Prime-Order Groups" Draft from the IRTF Crypto Forum Research Group (https://github.com/cfrg/draft-irtf-cfrg-voprf/). Additionally it implements a threshold OPRF based on "TOPPSS: Cost-minimal Password-Protected Secret Sharing based on Threshold OPRF" by Krawczyk et al (https://ia.cr/2017/363).

Recognizing the need to write reactor-based GUI applications, the ACE community has created several reactor extensions for use with X Window System. Each of these extends the ACE_Select_Reactor to work with a specific toolkit. By using these reactors, your GUI application can remain single threaded yet still respond to both GUI events, such as button presses, and your own application events.

Rygel is a home media solution that allows you to easily share audio, video and pictures, and control of media player on your home network. In technical terms it is both a UPnP AV MediaServer and MediaRenderer implemented through a plug-in mechanism. Interoperability with other devices in the market is achieved by conformance to very strict requirements of DLNA and on the fly conversion of media to format that client devices are capable of handling.

This package contains a library to perform SPARQL queries and updates in the Tracker store.

Recognizing the need to write reactor-based GUI applications, the ACE community has created several reactor extensions for use with X Window System. Each of these extends the ACE_Select_Reactor to work with a specific toolkit. By using these reactors, your GUI application can remain single threaded yet still respond to both GUI events, such as button presses, and your own application events.