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Algorithms for Solving Non-Linear Programming Problems

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Part of the book series: Lecture Notes in Computer Science ((LNCIS))

Abstract

We consider the following problems

$$[tex]\min F(x),{X_1} = \left\{ {x \in {E_n};g(x) = 0,h(x) \le 0,0 \le x} \right\}[/tex]$$
((1))
$$[tex]\min F(x),{X_2} = \left\{ {x \in {E_n};g(x) = 0,h(x) \le 0} \right\}[/tex]$$
((2))

where F, g, h are continuously differentiate functions defined on E n , Euclidean n space, x=[x 1, x 2,..., x n] is a point in E n , functions F, g, h define the mapping F: E n E 1, define two open sets

$$[tex]X_1^0 = \left\{ {x:g(x) = 0,h(x) < 0,x > 0} \right\},X_2^0 = \left\{ {x:g(x) = 0,h(x) < 0} \right\}[/tex]$$

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Referenzen

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© 1975 Springer-Verlag Berlin Heidelberg

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Evtushenko, Y.G. (1975). Algorithms for Solving Non-Linear Programming Problems. In: Marchuk, G.I. (eds) Optimization Techniques IFIP Technical Conference. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-38527-2_43

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  • DOI: https://doi.org/10.1007/978-3-662-38527-2_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-37713-0

  • Online ISBN: 978-3-662-38527-2

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