
BKZ
 Referenced in 62 articles
[sw10242]
 reduction algorithm known in practice for high dimension is SchnorrEuchner’s BKZ: all security ... model the behaviour of BKZ in high dimension with high blocksize $geq 50$, which...

SMAC
 Referenced in 61 articles
[sw27215]
 machine learning algorithms, scaling better to high dimensions and discrete input dimensions than other algorithms...

ANN
 Referenced in 45 articles
[sw09854]
 approximate nearest neighbor searching in arbitrarily high dimensions. In the nearest neighbor problem ... hundreds of thousands, and in dimensions as high as 20. (For applications in significantly higher...

BIOCHAM
 Referenced in 43 articles
[sw09927]
 inference of kinetic parameters in high dimension from temporal logic constraints. Biocham is a free...

Miniball
 Referenced in 43 articles
[sw05179]
 being fast in practice even for high dimensions. As a byproduct, we show that...

MultiNest
 Referenced in 39 articles
[sw10481]
 modes and pronounced (curving) degeneracies in high dimensions. The developments presented here lead to further...

SDPB
 Referenced in 103 articles
[sw23927]
 compute a new rigorous highprecision bound on operator dimensions in the 3d Ising...

LOBPCG
 Referenced in 32 articles
[sw09638]
 concerned with the case of high dimensions, where standard approaches to the solution of matrix...

CGS
 Referenced in 305 articles
[sw08225]
 that are not too large, and when high accuracy is required. Numerical experiments show that ... solving convectiondiffusion equations in two dimensions is roughly...

DGM
 Referenced in 63 articles
[sw39282]
 longstanding computational challenge. We propose to solve highdimensional PDEs by approximating the solution with ... since meshes become infeasible in higher dimensions. Instead of forming a mesh, the neural network ... algorithm is tested on a class of highdimensional free boundary PDEs, which ... dimensions. The algorithm is also tested on a highdimensional HamiltonJacobiBellman...

FEATFLOW
 Referenced in 197 articles
[sw04254]
 Stokes equations in two and three space dimensions. FEATFLOW is part of the TUFES project ... mathematical and algorithmical ideas in combination with high performance computational techniques. FEATFLOW is designed...

P3DFFT
 Referenced in 26 articles
[sw06503]
 parallel computations of Fourier transforms in three dimensions. Fourier and related transforms are a family ... computational science, notoriously difficult to scale on highperformance parallel computers with a large number ... Fourier transforms (FFTs) in three dimensions in a highly efficient and scalable way. It overcomes...

Maxima
 Referenced in 159 articles
[sw00560]
 lists, vectors, matrices, and tensors. Maxima yields high precision numeric results by using exact fractions ... functions and data in two and three dimensions. Computer algebra system...

ABCSubSim
 Referenced in 13 articles
[sw10099]
 Estimation of small failure probabilities in high dimensions by subset simulation”, Probabilistic Engrg. Mech...

Dirac++
 Referenced in 17 articles
[sw37208]
 various problems in (2+1) dimensions at high spatial and temporal resolutions that are otherwise...

StOpt
 Referenced in 9 articles
[sw32903]
 with stochastic stocks management problems in high dimension. A SDDP module in python is provided ... provided in this framework permitting to solve high dimensional problems on clusters. The library should...

KNITRO
 Referenced in 186 articles
[sw00490]
 KNITRO is designed for large problems with dimensions running into the hundred thousands ... mixed integer, nonlinear problems (MINLP). KNITRO is highly regarded for its robustness and efficiency. KNITRO...

EnsembleQN
 Referenced in 7 articles
[sw23336]
 difficult anisotropic sampling problems in high dimensions. Numerical experiments with model problems demonstrate that dramatic...

KYPD
 Referenced in 7 articles
[sw05126]
 applications. The programs are often of high dimension making them hard or impossible to solve...

curvclust
 Referenced in 6 articles
[sw07435]
 mixedeffects functional models in high dimension. We propose a method for highdimensional curve ... splines are not appropriate when dealing with highdimensional data and can not be used ... random effects. We propose an efficient dimension reduction step based on wavelet thresholding adapted ... curve clustering with random effects in the high dimensional framework (available on the CRAN...