https://www.mathworks.com/help/optim/ug/problem-based-minimization-linear-constraints.html
Problem-Based Nonlinear Minimization with Linear Constraints - MATLAB & Simulink
Shows how to use optimization variables to create linear constraints, and fcn2optimexpr to convert a function to an optimization expression.
problem basedlinear constraintsnonlinearminimizationmatlab
https://openreview.net/forum?id=F5TbbyTgbC
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness | OpenReview
This paper proposes and studies for the first time the problem of combinatorial multi-armed bandits with linear long-term constraints. Our model generalizes...
linear constraintscombinatorialbanditsbeyondknapsacks
https://slides.com/aspiwack/lix202103/fullscreen
Linear Constraints
In the past few years, I've been involved in extending the type system of the Haskell programming language to support linear types. In one sentence, a linear...
linearconstraints
https://arxiv.org/abs/1901.03134
[1901.03134] Gaussian processes with linear operator inequality constraints
Abstract page for arXiv paper 1901.03134: Gaussian processes with linear operator inequality constraints
gaussian processeslinear operator1901inequalityconstraints
https://arxiv.org/abs/hep-ph/9611362
[hep-ph/9611362] Constraints on doubly charged Higgs interactions at linear collider
Abstract page for arXiv paper hep-ph/9611362: Constraints on doubly charged Higgs interactions at linear collider
hep ph
https://openreview.net/forum?id=2rVK8Ijsq1&referrer=%5Bthe%20profile%20of%20Srinivasa%20M.%20Salapaka%5D(%2Fprofile%3Fid%3D~Srinivasa_M._Salapaka2)
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework | OpenReview
This work presents a new approach to solve the sparse linear regression problem, i.e., to determine a k-sparse vector w in R^d that minimizes the cost ||y -...
linear regressionsparseconstraints
https://www.preprints.org/manuscript/202404.1009/v6
Deriving Fundamental Physics via Entropy Maximization Under Linear Constraints[v6] | Preprints.org
We present a novel derivation of fundamental physical laws by solving a maximization problem on the Shannon entropy of all possible measurements relative to a...
fundamental physicsentropy maximization
https://openreview.net/forum?id=uKZ0R4IQaO&referrer=%5Bthe%20profile%20of%20Yuekai%20Sun%5D(%2Fprofile%3Fid%3D~Yuekai_Sun1)
Dynamic Pricing in the Linear Valuation Model using Shape Constraints | OpenReview
We propose a shape-constrained approach to dynamic pricing for censored data in the linear valuation model eliminating the need for tuning parameters commonly...
dynamic pricingshape constraintslinear
https://www.mathworks.com/help/mpc/ug/constraints-on-linear-combinations-of-inputs-and-outputs.html
Constraints on Linear Combinations of Inputs and Outputs - MATLAB & Simulink
You can design and simulate a model predictive controller with mixed input/output constraints.
inputs and outputslinear combinationsconstraintsmatlabsimulink
https://www.tensorflow.org/lattice/api_docs/python/tfl/linear_lib/assert_constraints?authuser=3
tfl.linear_lib.assert_constraints | TensorFlow Lattice
Asserts that weights satisfy constraints.
tfllinearlibassertconstraints
https://arxiv.org/abs/1706.00488
[1706.00488] Randomized Constraints Consensus for Distributed Robust Linear Programming
Abstract page for arXiv paper 1706.00488: Randomized Constraints Consensus for Distributed Robust Linear Programming
1706randomizedconstraintsconsensusdistributed
https://www.mathworks.com/help/finance/working-with-linear-equality-constraints-using-portfoliomad-object.html
Working with Linear Equality Constraints Using PortfolioMAD Object - MATLAB & Simulink
Linear equality constraints are optional linear constraints that impose systems of equalities on portfolio weights.
working withlinear equalityconstraintsusingportfoliomad
https://openreview.net/forum?id=3qeYTmrEAOP
A Light-speed Linear Program Solver for Personalized Recommendation with Diversity Constraints |...
In this paper, we propose a fast specialized linear program solver for a structured problem with diversity constraints in personalized recommender systems.
a lightlinear program