https://highs.dev/
HiGHS - High-performance parallel linear optimization software
high performancelinear optimizationhighsparallelsoftware
https://www.mcgill.ca/study/2020-2021/courses/math-417
MATH 417 Linear Optimization (3 credits) | eCalendar - McGill University
linear optimization3 creditsmath417ecalendar
https://www.industryweek.com/supply-chain/planning-forecasting/article/21967196/demystifying-linear-optimization-squeeze-out-higher-profits-without-squeezing-your-company
Demystifying Linear Optimization: Squeeze Out Higher Profits Without Squeezing Your Company |...
With the help of linear optimization, an international supplier maximizes profit margins while seeding future growth opportunities.
linear optimizationsqueeze outdemystifying
https://www.booktopia.com.au/linear-optimization-problems-with-inexact-data-miroslav-fiedler/book/9780387326979.html
Linear Optimization Problems with Inexact Data by Miroslav Fiedler | 9780387326979 | Booktopia
Buy Linear Optimization Problems with Inexact Data by Miroslav Fiedler from Booktopia. Get a discounted Hardcover from Australia's leading online bookstore.
linear optimizationmiroslav fiedlerproblems
https://jmlr.org/papers/v23/21-0368.html
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks
optimization theorycontinuous timeapproximation
https://studylib.net/doc/27735727/session-7-philbrick
Linear Programming Model: Production & Sales Optimization Problem
Linear programming problem for Philbrick Company: optimize production, sales, inventory, and inter-plant shipping across two plants and two months to maximize...
linear programmingsales optimizationmodelproductionproblem
https://studylib.net/doc/25239890/application-of-optimization-principles-in-classroom-alloc...
Classroom Allocation Optimization Using Linear Programming
Optimize classroom allocation with linear programming. A case study at Landmark University to maximize space and minimize congestion.
classroomallocationoptimizationusinglinear
https://www.mapleprimes.com/questions/223548-Solving-A-Integer-Linear-Programming
Solving a integer linear programming problem with Optimization package - MaplePrimes
integer linear programmingsolvingproblemoptimizationpackage
https://openreview.net/forum?id=PmahoyE89G
LASER: Linear Compression in Wireless Distributed Optimization | OpenReview
Data-parallel SGD is the de facto algorithm for distributed optimization, especially for large scale machine learning. Despite its merits, communication...
laserlinearcompressionwirelessdistributed
https://deepai.org/publication/provably-correct-optimization-and-exploration-with-non-linear-policies
Provably Correct Optimization and Exploration with Non-linear Policies | DeepAI
Mar 22, 2021 - 03/22/21 - Policy optimization methods remain a powerful workhorse in empirical Reinforcement Learning (RL), with a focus on neural policies ...
provably correctnon linearoptimizationexplorationpolicies
https://arxiv.org/abs/2408.16416
[2408.16416] Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear...
Abstract page for arXiv paper 2408.16416: Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations
symmetric positive definite
https://openreview.net/forum?id=VJwsDwuiuH
Rate-Optimal Policy Optimization for Linear Markov Decision Processes | OpenReview
We study regret minimization in online episodic linear Markov Decision Processes, and propose a policy optimization algorithm that is computationally...
markov decision processesrateoptimalpolicyoptimization
https://www.ornl.gov/publication/iterative-methods-gpu-resident-linear-solvers-nonlinear-constrained-optimization
Iterative Methods in GPU-Resident Linear Solvers for Nonlinear Constrained Optimization | ORNL
Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computations. The challenges become even more...
iterative methods
https://deepai.org/publication/a-general-linear-method-approach-to-the-design-and-optimization-of-efficient-accurate-and-easily-implemented-time-stepping-methods-in-cfd
A general linear method approach to the design and optimization of efficient, accurate, and easily...
Oct 13, 2020 - 10/13/20 - In simulations of fluid motion time accuracy has proven to be elusive. We seek highly accurate methods with strong enough stabilit...
https://openreview.net/forum?id=X4WAq7JQHbA
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity |...
convex optimizationdecomposablenonsmooth
https://studylib.net/doc/27040007/lp-simplex-case-study-summer-camp
Summer Camp Sheet Optimization: A Linear Programming Case Study
Optimize summer camp sheet costs with linear programming. Case study on purchasing, cleaning, and managing sheet inventory efficiently.
summer camplinear programmingsheetoptimizationcase
https://openreview.net/forum?id=zaeQGiPVYY
Linear attention is (maybe) all you need (to understand transformer optimization) | OpenReview
Transformer training is notoriously difficult, requiring a careful design of optimizers and use of various heuristics. We make progress towards understanding...
all you need
https://stanford.edu/~boyd/papers/portfolio.html
Portfolio Optimization with Linear and Fixed Transaction Costs
portfolio optimizationlinearfixedtransactioncosts
https://openreview.net/forum?id=Zh21fp1B0vv
Rate-Optimal Online Convex Optimization in Adaptive Linear Control | OpenReview
The first rate optimal algorithm for control of an unknown linear dynamical system under general convex adversarial costs.
online convex optimizationlinear controlrateoptimaladaptive
https://www.mdpi.com/1424-8220/22/19/7568
Fast Design Optimization and Comparative Analysis for Linear Permanent Magnet Motor with Magnet...
This paper presents a fast design optimization using an effective characteristic analysis for linear permanent magnet motors (LPMMs) with techniques for...
permanent magnet motordesign optimizationcomparative analysis
https://www.sandia.gov/research/publications/details/reduced-and-full-space-methods-in-topology-optimization-applications-in-lin-2016-03-01/
Reduced and Full Space Methods in Topology Optimization: Applications in Linear Elasticity and...
topology optimizationreducedfullspacemethods
https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2019.00030/full
Frontiers | Stochastic AUC Optimization Algorithms With Linear Convergence
Area under the ROC curve (AUC) is a standard metric that is used to measure classification performance for imbalanced class data. Developing stochastic lear...
optimization algorithmsfrontiersstochasticauclinear
https://www.mail-archive.com/r-help@r-project.org/msg270151.html
Re: [R] Non linear optimization with nloptr package fail to produce true optimal result
https://openreview.net/forum?id=vVTgnjpaLp
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower...
https://openreview.net/forum?id=sgHza4bz3n
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise...
Causal discovery aims to identify causal relationships from observational data. Recently, optimization-based causal discovery methods have attracted extensive...
https://deepai.org/publication/the-hammer-and-the-nut-is-bilevel-optimization-really-needed-to-poison-linear-classifiers
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? | DeepAI
Mar 23, 2021 - 03/23/21 - One of the most concerning threats for modern AI systems is data poisoning, where the attacker injects maliciously crafted trainin...
https://stanford.edu/~boyd/papers/saturation_cvx_opt.html
Analysis of Linear Systems with Saturation Using Convex Optimization
linear systemsanalysissaturationusingconvex
https://openreview.net/forum?id=84gjULz1t5
Linear Convergent Decentralized Optimization with Compression | OpenReview
Communication compression has become a key strategy to speed up distributed optimization. However, existing decentralized algorithms with compression mainly...
linearconvergentdecentralizedoptimizationcompression
https://arxiv.org/abs/2304.01797
[2304.01797] Safe Zeroth-Order Optimization Using Linear Programs
Abstract page for arXiv paper 2304.01797: Safe Zeroth-Order Optimization Using Linear Programs
zeroth order230401797safeoptimization
https://openreview.net/forum?id=DWvcqoRAQP8
Safe Policy Optimization with Local Generalized Linear Function Approximations | OpenReview
Formulate a safe reinforcement learning problem where features are locally available upon observation, and propose an algorithm with theoretical guarantee on...
linear functionsafepolicyoptimizationlocal
https://openreview.net/forum?id=dx11_7vm5_r
Linear Last-iterate Convergence in Constrained Saddle-point Optimization | OpenReview
Optimistic Gradient Descent Ascent (OGDA) and Optimistic Multiplicative Weights Update (OMWU) for saddle-point optimization have received growing attention due...
saddle pointlinearlastiterateconvergence