Dynamic Optimization user’s guide

User’s Guide for YALL1: Your ALgorithms for L1 Optimization

This User’s Guide describes the functionality and basic usage of the Matlab package YALL1 for L1 minimization. The one-for-six algorithm used in the YALL1 solver is briefly introduced in the appendix.

User’s Guide for LMaFit: Low-rank Matrix Fitting

This User’s Guide describes the functionality and basic usage of the Matlab package LMaFit for low-rank matrix optimization. It also briefly explains the formulations and algorithms used. Version beta-2 change log: Only the matrix completion code is changed: (1) the field Prob.Unknwn has been eliminated; (2) a new option opts.Zfull is added (see page 6) to help complete large matrices with very...

New Dynamic Public Finance: A User’s Guide

Using the DSPCAD Integrative Command-Line Environment: User’s Guide for DICE

This document provides a user’s guide for DICE Version 1.0. The emphasis in this user’s guide is on providing detailed specifications for setting up and using the various features in DICE. For a general overview of DICE and descriptions of some of its core features, see Reference [1]. This user’s guide is supplemented by various materials that are available electronically from the DICE User’s G...

Task Scheduling Using Particle Swarm Optimization Algorithm with a Selection Guide and a Measure of Uniformity for Computational Grids

In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...