Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 233,238,905 papers from all fields of science
Search
Sign In
Create Free Account
TOMLAB
The TOMLAB Optimization Environment is a modeling platform for solving applied optimization problems in MATLAB.
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
32 relations
AMPL
Automatic differentiation
Black box
CPLEX
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
On the Use of Outer Approximations as an External Active Set Strategy
Hoam Chung
,
E. Polak
,
S. Sastry
2010
Corpus ID: 55464989
Outer approximations are a well known technique for solving semiinfinite optimization problems. We show that a straightforward…
Expand
2009
2009
The Influence of Experimental Designs on the performance of surrogate model based costly global optimization solvers
K. Holmström
,
Nils-Hassan Quttineh
2009
Corpus ID: 55752524
When dealing with costly objective functions in optimization, one good alternative is to use a surrogate model approach. A common…
Expand
2008
2008
An Accelerator for Packages Solving Discrete-Time Optimal Control Problems ⋆
Hoam Chung
,
E. Polak
,
S. Sastry
2008
Corpus ID: 218209
Abstract We present an accelerator scheme for use with existing packages that solve nonlinear programming problems with a large…
Expand
2007
2007
User Guide for MAD - A Matlab Automatic Differentiation Package, TOMLAB/MAD,Version 1.4 The Forward Mode.
S. Forth
,
Marcus M. Edvall
2007
Corpus ID: 58585398
Mad is a Matlab library of functions and utilities for the automatic differentiation of Matlab functions/statements via operator…
Expand
2003
2003
Tomlab - For Large-Scale Robust Optimization
K. Holmström
,
Marcus M. Edvall
,
A. Göran
2003
Corpus ID: 118595825
The Tomlab Optimization Environment is the most powerful optimization package available in MATLAB. TOMLAB of today has grown to…
Expand
2003
2003
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
I. Russell
,
A. Mertins
,
J. Xi
Signal and Image Processing
2003
Corpus ID: 17024381
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation…
Expand
Review
1999
Review
1999
The TOMLAB OPERA Toolbox for Linear and Discrete Optimization 1
Mattias Bj orkman
,
E. Dotzauer
1999
Corpus ID: 7486342
The Matlab toolbox OPERA TB is a set of Matlab mles, which solves basic linear and discrete optimization problems in operations…
Expand
1999
1999
The TOMLAB Graphical User Interface for Nonlinear Programming
Erik Dotzauer
,
Kenneth Holmstrm
1999
Corpus ID: 265915469
The paper presents a Graphical User Interface (GUI) for nonlinear programming in Matlab. The GUI gives easy access to all…
Expand
1999
1999
The TOMLAB NLPLIB Toolbox for Nonlinear Programming
K. Holmström
,
M. Bjorkman
1999
Corpus ID: 58796292
Vat dyestuffs of the formula N ANGLE A1-N-CC-N-A2 ¦¦ PARALLEL ¦ (1), R1NNR2 ANGLE C ¦ S-R wherein R represents alkyl with 1 to 4…
Expand
1998
1998
Constrained Separable NLLS Algorithms for Chemical Equilibrium Analysis
K. Holmstrom
1998
Corpus ID: 116691118
We present new algorithms for constrained separable nonlinear least squares (NLLS) problems. The algorithms are used to determine…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE