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Open Source Tools for Optimization in Python
Computing in Operations Research Using Julia
The TOMLAB NLPLIB Toolbox for Nonlinear Programming 1
Optimal Control for Constrained Hybrid System Computational Libraries and Applications
PSO-Based Soft Lunar Landing with Hazard Avoidance: Analysis and Experimentation
CME 338 Large-Scale Numerical Optimization Notes 2
Computational Integer Programming Lecture 3
Abstract Glue for Optimization in Julia
Julia Language Documentation Release Development
The TOMLAB Optimization Environment in Matlab1
The AIMMS Language Reference
Combined Optimization of Trajectory and Design for Dual Propulsion Spacecraft AE5810 Thesis Space Domas M
A Toolkit for AMPL Control Optimization
A Unifying Modeling Abstraction for Infinite-Dimensional Optimization
Optimal Trajectory Generation in a Dynamic Multi-Body Environment Using a Pseudospectral Method Jacob A
Modeling Mathematical Programs with Equilibrium Constraints in Pyomo
User's Guide for Tomlab 7
User's Guide for Tomlab 4.0.6
Top View
User's Guide for TOMLAB /CGO
First- and Second-Order Methods for Semidefinite Programming
Semidefinite Programming Relaxations and Algebraic
AMPL Reference Manual
The TOMLAB V2.0 Optimization Environment 1
Folmer Van Rijn
Overview of and Update on ASL, the AMPL/Solver Interface Library
Evtol Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility
Pyomo — Optimization Modeling in Python Second Edition Springer Optimization and Its Applications
Comparison of Direct and Indirect Methods for Minimum Lap Time Optimal Control Problems
The TOMLAB Optimization Environment in Matlab1
Pyomo Online Documentation 3.5 I
Efficient Solutions to Nonlinear Optimal Control Problems Using Adaptive Mesh Orthogonal Collocation Methods
Ipopt Documentation
Hooking Your Solver to AMPL
The TOMLAB Graphical User Interface for Nonlinear Programming
Pyomo Documentation Release 6.1.2
SEMIDEFINITE PROGRAMMING* LIEVEN Vandenberghet and STEPHEN BOYD* Abstract