Trending Research

Differentiating through Log-Log Convex Programs

27 Apr 2020cvxgrp/cvxpy

This makes it possible to conduct sensitivity analyses of solutions, given perturbations to the parameters, and to compute the gradient of a function of the solution with respect to the parameters.

OPTIMIZATION AND CONTROL

3,032
0.03 stars / hour

PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

17 Apr 2020dynamicslab/pysindy

PySINDy is a Python package for the discovery of governing dynamical systems models from data.

DYNAMICAL SYSTEMS COMPUTATIONAL PHYSICS

243
0.03 stars / hour

Curvature effects on the empirical mean in Riemannian and affine Manifolds: a non-asymptotic high concentration expansion in the small-sample regime

18 Jun 2019geomstats/applications

For distributions that are highly concentrated around their mean, and for any finite number of samples, we establish explicit Taylor expansions on the first and second moment of the empirical mean thanks to a new Taylor expansion of the Riemannian log-map in affine connection spaces.

DIFFERENTIAL GEOMETRY STATISTICS THEORY STATISTICS THEORY

21
0.03 stars / hour

Computing in Operations Research using Julia

5 Dec 2013JuliaOpt/JuMP.jl

The state of numerical computing is currently characterized by a divide between highly efficient yet typically cumbersome low-level languages such as C, C++, and Fortran and highly expressive yet typically slow high-level languages such as Python and MATLAB.

OPTIMIZATION AND CONTROL NUMERICAL ANALYSIS PROGRAMMING LANGUAGES

1,339
0.03 stars / hour

Fast computation of Gauss quadrature nodes and weights on the whole real line

20 Oct 2014JuliaApproximation/FastGaussQuadrature.jl

The algorithm is based on Newton's method with carefully selected initial guesses for the nodes and a fast evaluation scheme for the associated orthogonal polynomial.

NUMERICAL ANALYSIS

151
0.02 stars / hour

HPIPM: a high-performance quadratic programming framework for model predictive control

5 Mar 2020giaf/hpipm

This paper introduces HPIPM, a high-performance framework for quadratic programming (QP), designed to provide building blocks to efficiently and reliably solve model predictive control problems.

OPTIMIZATION AND CONTROL SYSTEMS AND CONTROL SYSTEMS AND CONTROL

149
0.02 stars / hour

Experience Implementing a Performant Category-Theory Library in Coq

29 Jan 2014agda/agda-categories

We describe our experience implementing a broad category-theory library in Coq.

CATEGORY THEORY LOGIC IN COMPUTER SCIENCE

175
0.02 stars / hour

acados: a modular open-source framework for fast embedded optimal control

30 Oct 2019acados/acados

The acados software package is a collection of solvers for fast embedded optimization, intended for fast embedded applications.

OPTIMIZATION AND CONTROL

175
0.02 stars / hour

A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems

15 May 2019mathLab/PyGeM

Mandatory ingredient for the ROM methods is the relation between the high-fidelity solutions and the parameters.

NUMERICAL ANALYSIS

159
0.02 stars / hour

Simple Iterative Incompressible Smoothed Particle Hydrodynamics

6 Aug 2019pypr/pysph

A novel approach is used to ensure homogeneous particle distributions and improved boundary conditions.

NUMERICAL ANALYSIS NUMERICAL ANALYSIS COMPUTATIONAL PHYSICS

215
0.02 stars / hour