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1 User’s guide

Dafydd Gibbon, +2 more
- pp 1-28
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The article was published on 1998-01-31. It has received 1649 citations till now.

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Numerical Optimization

Jorge Nocedal, +1 more
TL;DR: Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization, responding to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
Journal ArticleDOI

A tutorial on support vector regression

Alexander J. Smola, +1 more
- 01 Aug 2004 - 
TL;DR: This tutorial gives an overview of the basic ideas underlying Support Vector (SV) machines for function estimation, and includes a summary of currently used algorithms for training SV machines, covering both the quadratic programming part and advanced methods for dealing with large datasets.
Journal ArticleDOI

Efficient Control of Population Structure in Model Organism Association Mapping

Hyun Min Kang, +9 more
- 01 Mar 2008 - 
TL;DR: A new method, efficient mixed-model association (EMMA), which corrects for population structure and genetic relatedness in model organism association mapping and takes advantage of the specific nature of the optimization problem in applying mixed models for association mapping, which allows for substantially increase the computational speed and reliability of the results.
Journal ArticleDOI

Optimal Operation of Multireservoir Systems: State-of-the-Art Review

John W. Labadie
- 19 Feb 2004 - 
TL;DR: Application of heuristic programming methods using evolutionary and genetic algorithms are described, along with application of neural networks and fuzzy rule-based systems for inferring reservoir system operating rules, to assess the state of the art in optimization of reservoir system management and operations.
Journal ArticleDOI

How Well Do Coupled Models Simulate Today's Climate?

Thomas Reichler, +1 more
- 01 Mar 2008 - 
TL;DR: In this paper, the authors argue that certain simplifying assumptions are unavoidable when building these models, which introduces biases into their simulations, which sometimes are surprisingly difficult to correct and can lead to model-based projections of climate.