Trending Research

Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

uber/causalml 12 Jun 2017

There is growing interest in estimating and analyzing heterogeneous treatment effects in experimental and observational studies.

Statistics Theory Methodology Statistics Theory

0.03 stars / hour

Analysis of circulant embedding methods for sampling stationary random fields

PieterjanRobbe/GaussianRandomFields.jl 2 Oct 2017

We examine in detail the case of the Mat\'ern covariance, and prove (for fixed correlation length) that, as $h_0\rightarrow 0$, positive definiteness is guaranteed when the random field is sampled on a cube of size order $(1 + \nu^{1/2} \log h_0^{-1})$ times larger than the size of the physical domain.

Numerical Analysis 60G10, 60G60, 65C05, 65C60

0.02 stars / hour

tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format

PGelss/scikit_tt 18 Nov 2021

In this work, we present a data-driven method to efficiently approximate the generator using the tensor train (TT) format.

Dynamical Systems Probability Computational Physics

0.02 stars / hour

Global Optimization via Schr{ö}dinger-F{ö}llmer Diffusion

juliusberner/sde_sampler 31 Oct 2021

We study the problem of finding global minimizers of $V(x):\mathbb{R}^d\rightarrow\mathbb{R}$ approximately via sampling from a probability distribution $\mu_{\sigma}$ with density $p_{\sigma}(x)=\dfrac{\exp(-V(x)/\sigma)}{\int_{\mathbb R^d} \exp(-V(y)/\sigma) dy }$ with respect to the Lebesgue measure for $\sigma \in (0, 1]$ small enough.

Optimization and Control

0.02 stars / hour

Advanced-Step Real-time Iterations with Four Levels -- New Error Bounds and Fast Implementation in acados

iit-dlslab/quadruped-pympc 11 Mar 2024

The Real-Time Iteration (RTI) is an online nonlinear model predictive control algorithm that performs a single Sequential Quadratic Programming (SQP) per sampling time.

Optimization and Control

0.02 stars / hour

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods

sshin23/examodels.jl 31 Jul 2023

This approach enables the specification of model equations while preserving their parallelizable structure and, in turn, facilitates the parallel AD implementation.

Optimization and Control Distributed, Parallel, and Cluster Computing

0.02 stars / hour

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

zhengyu-huang/operator-learning 24 Mar 2022

The term `surrogate modeling' in computational science and engineering refers to the development of computationally efficient approximations for expensive simulations, such as those arising from numerical solution of partial differential equations (PDEs).

Numerical Analysis Numerical Analysis

0.02 stars / hour

cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language

copt-public/cupdlp-c 22 Dec 2023

However, due to limitations in experimental hardware and the disadvantage of implementing the algorithm in Julia compared to C language, neither the commercial solver nor cuPDLP reached their maximum efficiency.

Optimization and Control

0.02 stars / hour

Last-mile Delivery: Optimal Locker Location Under Multinomial Logit Choice Model

ljvmiranda921/pyswarms 24 Feb 2020

Motivated by a real case in Singapore, we consider a POP-Locker Alliance who operates a set of POP-stations and wishes to improve the last-mile delivery by opening new locker facilities.

Optimization and Control

0.02 stars / hour

Optimization-Based Autonomous Racing of 1:43 Scale RC Cars

alexliniger/MPCC 20 Nov 2017

This paper describes autonomous racing of RC race cars based on mathematical optimization.

Optimization and Control Robotics Systems and Control

0.02 stars / hour