If you want to learn more about linear and nonlinear programming, you can explore some online courses, books, or tutorials that cover the theory and applications of these methods. You can also ...

Nonlinear programming (NLP) is a technique that deals with problems that have nonlinear constraints and objectives. For example, if you want to minimize the distance between a set of points and a ...

W. Hock and K. Schittkowski, “Test Examples for Nonlinear Programming Codes,” Journal of Optimization Theory and Applications, Vol. 30, No. 1, 1980, pp. 127-129. has been cited by the following ...

Article citations More>> K. Schittkowski, “More Test Examples for Nonlinear Programming Codes (Lecture Notes in Economics and Mathematical Systems),” Springer, Berlin, 1987. has been cited by the ...

Many actual situations can be represented in a realistic manner by the two-stage stochastic nonlinear programming problem MinxEmin y[φ (x)+ψ (y)] subject to g(x)+h(y)≥ b, where b is a random vector ...

This project showcases real-time obstacle avoidance in UAVs by utilizing the ModalAI Voxl 2 Sentinel Drone with the PX4 flight stack and an Intel Realsense D435i camera to precisely detect obstacles ...

A new algorithm based on fuzzy inference is proposed for nonlinear mathematical programming. The characteristics of nonlinear programming are that the exact functional relationship between the ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

O. L. Mangasarian, Linear and Nonlinear Separation of Patterns by Linear Programming, Operations Research, Vol. 13, No. 3 (May - Jun., 1965), pp. 444-452 ...

Together, these developments underscore the potential of non-linear programming techniques to improve both the economic and technical performance of gas networks. Technical Terms ...

In industrial sectors, many optimization problems arise while controlling technological processes. It is often the optimization tasks to maximize profit and production or minimize costs, loss in ...