Piecewise-linear approximations of multidimensional functions

From MaRDI portal
Publication:970578

DOI10.1007/s10957-009-9626-0zbMath1186.90080OpenAlexW2091593675WikidataQ62015655 ScholiaQ62015655MaRDI QIDQ970578

Christodoulos A. Floudas, Ruth Misener

Publication date: 19 May 2010

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10044/1/31814



Related Items

Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT, Optimization and validation of pumping system design and operation for water supply in high-rise buildings, Arbitrarily tight \(\alpha \mathrm{BB}\) underestimators of general non-linear functions over sub-optimal domains, Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded, A Decomposition-Based Heuristic for Collaborative Scheduling in a Network of Open-Pit Mines, Continuous piecewise linear delta-approximations for bivariate and multivariate functions, Exact penalty and optimality condition for nonseparable continuous piecewise linear programming, Finding the set of global minimizers of a piecewise affine function, A linear programming approach to difference-of-convex piecewise linear approximation, Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing, Polylithic modeling and solution approaches using algebraic modeling systems, Convergent upper bounds in global minimization with nonlinear equality constraints, Mixed Integer Linear Programming Formulation Techniques, Solving mixed-integer nonlinear programmes using adaptively refined mixed-integer linear programmes, On refinement strategies for solving \(\textsc{MINLP}\)s by piecewise linear relaxations: a generalized red refinement, Deterministic upper bounds for spatial branch-and-bound methods in global minimization with nonconvex constraints, A minimal cardinality solution to fitting sawtooth piecewise-linear functions


Uses Software


Cites Work