Results 51 to 60 of about 181,280 (177)
This research deals with the economic-environmental dispatch problem (EEDP) in multi-terminal high-voltage direct-current (MT-HVDC) systems by proposing a convex approximation based on semi-definite programming (SDP).
Wilmar Contreras-Sepúlveda +2 more
doaj +1 more source
For the self-energy recycling (SER) untrusted relay network, a two-phase destination-based jamming (DBJ) protocol is proposed, in which the destination transmits the jamming signal to reduce the received SNR of the untrusted relay node in the first phase
Siyang Xu +4 more
doaj +1 more source
Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming [PDF]
In this paper we study a broad class of structured nonlinear programming (SNLP) problems. In particular, we first establish the first-order optimality conditions for them.
Lu, Zhaosong
core
Parallel synchronous algorithm for nonlinear fixed point problems
We give in this paper a convergence result concerning parallel synchronous algorithm for nonlinear fixed point problems with respect to the Euclidian norm in ℝn.
Ahmed Addou, Abdenasser Benahmed
doaj +1 more source
This paper proposes a convex approximation approach for solving the optimal power flow (OPF) problem in direct current (DC) networks with constant power loads by using a sequential quadratic programming approach.
Oscar Danilo Montoya
doaj +1 more source
Matrix convex functions with applications to weighted centers for semidefinite programming [PDF]
In this paper, we develop various calculus rules for general smooth matrix-valued functions and for the class of matrix convex (or concave) functions first introduced by Loewner and Kraus in 1930s.
Brinkhuis, J., Luo, Z-Q., Zhang, S.
core +1 more source
Disciplined Convex Programming [PDF]
A new methodology for constructing convex optimization models called disciplined convex programming is introduced. The methodology enforces a set of conventions upon the models constructed, in turn allowing much of the work required to analyze and solve the models to be automated.
Michael Grant, Stephen Boyd, Yinyu Ye
openaire +1 more source
Conditional Risk Mappings [PDF]
We introduce an axiomatic definition of a conditional convex risk mapping. By employing the techniques of conjugate duality we derive properties of conditional risk mappings.
Alexander Shapiro, Andrzej Ruszczynski
core
Optimality conditions for multiobjective symmetric convex programming
Not available.
Ştefan Ţigan
doaj +2 more sources
Midcourse Guidance via Variable-Discrete-Scale Sequential Convex Programming
To address the challenges of strong nonlinearity, stringent terminal constraints, and the trade-off between computational efficiency and accuracy in the midcourse guidance trajectory optimization problem of aerodynamically controlled interceptors, this ...
Jinlin Zhang +4 more
doaj +1 more source

