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User Guide for MAD, TOMLAB /MAD, v1.4
Abstract
Contents
Introduction
Installation of Mad
Using TOMLAB /MAD
Basic Use of Forward Mode for First Derivatives
Advanced Use of Forward Mode for First Derivatives
High-Level Interfaces to Matlab's ODE and Optimization Solvers
Black Box Interfaces
Conclusions & Future Work
References
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Contents
1 Introduction
2 Installation of
Mad
2.1 Requirements
2.2 Obtaining
Mad
2.3 Installation Instructions (UNIX)
2.4 Installation Instructions (Windows)
2.5 Online Help Facilities
3 Using TOMLAB /MAD
3.1 Example
4 Basic Use of Forward Mode for First Derivatives
4.1 Differentiating
Matlab
Expressions
4.2 Vector-Valued Functions
4.3 Storage of Derivatives in
Mad
4.3.1 Single Directional Derivatives
4.3.2 Multiple Directional Derivatives
4.4 Use of Intrinsics (Operators and Functions)
4.5 Additional Functions
4.6 Differentiating User Defined Functions
4.7 Possible Problems Using the Forward Mode
5 Advanced Use of Forward Mode for First Derivatives
5.1 Accessing The Internal Representation of Derivatives
5.2 Preallocation of Matrices/Arrays
5.3 Dynamic Propagation of Sparse Derivatives
5.3.1 Use of Sparse Derivatives
5.3.2 User Control of Sparse Derivative Propagation
5.4 Sparse Jacobians via Compression
5.5 Differentiating Iteratively Defined Functions
5.6 User Control of Activities/Dependencies
6 High-Level Interfaces to
Matlab
's ODE and Optimization Solvers
6.1 Stiff ODE Solution
6.2 Unconstrained Optimization
6.3 Constrained Optimization
7 Black Box Interfaces
8 Conclusions & Future Work
9 References
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