Pages that link to "Item:Q1666822"
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The following pages link to Models and algorithms for optimal piecewise-linear function approximation (Q1666822):
Displaying 19 items.
- Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs) (Q621614) (← links)
- Piecewise linear approximations of multivariate functions: A multiresolution-based compression algorithm suitable for circuit implementation (Q987602) (← links)
- Piece-wise linear approximation of functions of two variables (Q1365113) (← links)
- Efficient piecewise-linear function approximation using the uniform metric (Q1906048) (← links)
- Proposal of simple and accurate two-parametric approximation for the \(Q\)-function (Q1993179) (← links)
- Piecewise linear approximation of functions of two variables in MILP models (Q2270322) (← links)
- Data approximation using Lotka-Volterra models and a software minimization function (Q2288094) (← links)
- Examples of the best piecewise linear approximation with free nodes (Q2289416) (← links)
- Optimal piecewise-linear approximation algorithms for complex dependencies (Q2487546) (← links)
- A continuous-time formulation for optimal task scheduling and quality-of-service assurance in nanosatellites (Q2676349) (← links)
- Computing Area-Tight Piecewise Linear Overestimators, Underestimators and Tubes for Univariate Functions (Q2949919) (← links)
- Piecewise Linear Function Fitting via Mixed-Integer Linear Programming (Q3386779) (← links)
- (Q3768247) (← links)
- Canonical piecewise-linear approximations (Q4033937) (← links)
- (Q4250281) (← links)
- (Q4328456) (← links)
- Piecewise linear secant approximation via algorithmic piecewise differentiation (Q4685600) (← links)
- Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications (Q5094178) (← links)
- A unified framework for bivariate clustering and regression problems via mixed-integer linear programming (Q6103471) (← links)