Linear programming, integer programming, quadratic programming, and further general nonlinear programming problems.
This is an announcement from NTT Data Mathematical Systems regarding "Numerical Optimizer."
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basic information
【Features】 ○ Developed with the intention of solving large-scale problems stably and quickly ○ The interior point method algorithm is uniquely developed by our company ○ Supports crossover between the interior point method and the simplex method ○ Comes with the modeling language SIMPLE, allowing for direct transcription of mathematical expressions for solving ○ NUOPT and the accompanying modeling language SIMPLE are all developed in-house ○ Consulting services available for modeling, solution construction, and peripheral software development ○ Can be utilized as a C++ library within C++ code or from VB, VBA ○ Used in many universities for lectures and exercises utilizing mathematical programming ● For more details, please contact us.
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GIS solutions, shift scheduling solutions, energy solutions, financial engineering solutions
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Company information
Since our establishment in 1982, we have been driven by the desire to utilize mathematical sciences and computer science for the benefit of society, constantly pursuing cutting-edge and high-quality technology. Our passion for technology, teamwork that shares this passion, and the trust from our customers who understand our vision and entrust us with problem-solving are the sources of our pride and our activities. Our management philosophy, "Solving real-world problems through mathematical sciences and computer science," represents the foundation from which we will continue to advance without change. By leveraging mathematical science technologies such as machine learning, mathematical optimization, and simulation, we aim to discover new facts that were previously unknown, thereby pursuing business value through cost reduction and improved efficiency. We will promote technology development and dissemination activities that contribute to the advancement of mathematical sciences to generate further business value in the future.