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12 results for “Convex optimization”
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Research ArticleOpen accessPhrase in the titleAnalysis of Robustness for Convex Optimization Applied to Array Antenna Pattern SynthesisRichard Torrealba, David H. Covarrubias, Marco PanduroThis study presents an analysis of the convex optimization applied to the synthesis of the radiation pattern for linear antenna arrays. This study emphasizes the application of the convex optimization for the array pattern synthesis considering the simultaneous elimination of several zones interferences, reduction of the level of power in two space zones densely populated by interferences, as well as … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 6,566 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePeak-to-Average Power Ratio Reduction Using Active Constellation Extension-Projection Onto Convex Sets Combined with Particle Swarm Optimization Added to Space Time Bloc Coding in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing SystemAhmed Ouqour, Abdelhamid Louliej, Younes Jabrane et al.When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain (higher transmission rate) then it is known as Multiple Input Multiple Output (MIMO)-OFDM. The full form of MIMO is multi input and multi output where signals are transmitted via multiple antennas instead of only one antenna … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the keywordsE-Saddle Point Criteria for E-differentiable Vector Optimization Problems with Inequality and Equality ConstraintsTadeusz Antczak, Najeeb Abdulaleemn this study, the class of E-differentiable vector optimization problems with both inequality and equality constraints is considered. For such (not necessarily) differentiable multicriteria optimization problems, two E-Lagrange functions and their E-saddle points are defined. Then the so-called E-saddle point criteria are established for such (not necessarily) differentiable multiobjective programming problems with E-differentiable E-convex functions. …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 11 May 2019 · 7,401 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN EFFICIENT POWER REDUCTION TECHNIQUE IN ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEM USING TONE RESERVATIONV. Nandalal, S. SophiaIn a basic communication system, the data’s are modulated onto a single carrier frequency. The available bandwidth is then totally occupied by each symbol. This kind of system can lead to Inter-Symbol-Interference (ISI) in case of frequency selective fading. The basic idea of Orthogonal Frequency Division Multiplexing (OFDM) is to divide the available spectrum into several orthogonal sub channels so … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractAsymptotic Properties of Local Sampling on ManifoldYury Aleksandrovich YanovichIn many applications, the real high-dimensional data occupy only a very small part in the high dimensional ‘observation space’ whose intrinsic dimension is small. The most popular model of such data is Manifold model which assumes that the data lie on or near an unknown manifold Data Manifold, (DM) of lower dimensionality embedded in an ambient high-dimensional input space (Manifold … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 26 Aug 2016 · 7,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractSynthesis of Robust Dynamic Controller, Model Predictive Control BasedMohamed Adel Sellami, Elyes Maherzi, Mongi BesbesProblem statement: More advanced control techniques have been developed in recent decades following the great progress of calculations means. Without considering the constraints on system variables, the response of controlled system moves away from the desired response. Hence the control strategy must provide the ability to integrate these constraints in the design phase of the controller. Approach: This study presents … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 16 Mar 2012 · 7,267 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo-Versions of Conjugate Gradient-Algorithms Based on Conjugacy Conditions for Unconstrained OptimizationAbbas Y. AL-Bayati, A.J. Salim, Khalel K. AbboProblem statement: (CG) algorithms, which we had investigated in this study, were widely used in optimization, especially for large scale optimization problems, because it did not need the storage of any matrix. The purpose of this construction was to find new CG-algorithms suitable for solving large scale optimization problems. Approach: Based on pure conjugacy condition and quadratic convex function two … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 8,108 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle LinesS. Jalilzadeh, H. Shayeghi, M. Mahdavi, H. HadadianTransmission Network Expansion Planning (TNEP) was studied considering voltage level, network losses and number of bundle lines using decimal codification based genetic algorithm (DCGA). TNEP determines the characteristic and performance of the future electric power network and directly influences the operation of power system. Up till now, various methods have been presented for the solution of the Static Transmission Network … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 7,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractMINLP Optimization of Mechanical StructuresS. Šilih, T. Žula, Z. Kravanja, S. KravanjaWe presented optimization of mechanical structures, performed by the Mixed-Integer Nonlinear Programming (MINLP) optimization approach. The MINLP is a combined continuous/discrete optimization technique, where a structural topology and standard/discrete sizes are optimized simultaneously with the continuous variables. Ddiscrete binary 0-1 variables were used to express the discrete decisions. For solution of this non-linear, continuous/discrete and non-convex MINLP class of the … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,125 accessesView PDFCite