IPOPT
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What is IPOPT?
IPOPT (Interior Point OPTimizer) is a software package for large-scale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems that satisfy nonlinear constraints and feature nonlinear objective functions. IPOPT is commonly used in various applications like chemical process optimization, optimal control, and parameter estimation.
What other technologies are related to IPOPT?
IPOPT Competitor Technologies
CPLEX
CPLEX is a commercial optimization solver that competes with IPOPT in solving mathematical optimization problems, including linear programming, mixed-integer programming, and quadratic programming. While IPOPT focuses on nonlinear programming, their domains overlap.
Gurobi
Gurobi is a commercial optimization solver that, similar to CPLEX, competes with IPOPT, particularly in areas where nonlinear capabilities are needed or being considered. Gurobi also covers linear, quadratic, and mixed-integer programming.
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IPOPT Complementary Technologies
C++
IPOPT is written in C++ and often used within C++ projects. C++ can be used to develop applications that call IPOPT as a solver.
Python
IPOPT has a Python interface, allowing users to access its functionality from Python scripts and applications. This makes it easier to integrate IPOPT into various workflows and use it with other Python libraries.
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Which job functions commonly mention IPOPT?
Control Engineer
0.1% of all Control Engineer jobs mention IPOPT
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jobs on Sumble
Research Scientist
7 Research Scientist jobs mention IPOPT
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jobs on Sumble
Machine Learning
10 Machine Learning jobs mention IPOPT
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jobs on Sumble
Researcher
20 Researcher jobs mention IPOPT
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jobs on Sumble
Engineer
76 Engineer jobs mention IPOPT
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jobs on Sumble
Which organizations are mentioning IPOPT?
Lawrence Livermore National Laboratory
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