Suchergebnisse - Image processing Mathematical optimization. Nonlinear programming.

A Lagrange–Newton algorithm for sparse nonlinear programming von Zhao, Chen, Xiu, Naihua, Qi, Houduo, Luo, Ziyan

“… The sparse nonlinear programming (SNP) problem has wide applications in signal and image processing, machine learning and finance, etc …”
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Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically von Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Ramos, Higinio, Bilal, Muhammad, Shoaib, Muhammad

“… In this study, bio-inspired computational techniques have been exploited to get the numerical solution of a nonlinear two-point boundary value problem arising in the modelling of the corneal shape …”
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Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics von Raja, Muhammad Asif Zahoor, Shah, Fiaz Hussain, Tariq, Muhammad, Ahmad, Iftikhar, Ahmad, Siraj ul Islam

“… ) is presented to solve the nonlinear Troesch’s boundary value problem arising in plasma physics …”
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Power Allocation for Uplink Multiband Satellite Communications With Nonlinear Impairments von Louchart, Arthur, Ciblat, Philippe, Poulliat, Charly

“… In this letter, we develop some generic power allocation strategies in an uplink multiband satellite communications system when nonlinear impairments on the High-Power Amplifier onboard satellite occur …”
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Enhanced honey badger algorithm based on nonlinear adaptive weight and golden sine operator von Majumdar, Parijata, Mitra, Sanjoy

“… Therefore, we developed the nonlinear adaptive weight and the golden sine operator-based enhanced HBA (NGS-eHBA …”
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Variational model with nonstandard growth conditions for restoration of satellite optical images using synthetic aperture radar von D’APICE, C., KOGUT, P.I., MANZO, R., UVAROV, M.V.

“… In this paper, the problem of restoration of cloud contaminated optical images is studied in the case when we have no information about brightness of such images in the damage region …”
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Minimum spanning tree with conflicting edge pairs: a branch-and-cut approach von Carrabs, Francesco, Cerulli, Raffaele, Pentangelo, Rosa, Raiconi, Andrea

“… In this paper, we show a branch-and-cut approach to solve the minimum spanning tree problem with conflicting edge pairs. This is a NP-hard variant of the …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model von Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Bilal, Muhammad, Ashraf, Farooq

“… Strength of efficient local optimization procedures based on active-set (AS), interior-point (IP) and sequential quadratic programming …”
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Characterizations of set order relations and constrained set optimization problems via oriented distance function von Chen, Jiawei, Ansari, Qamrul Hasan, Yao, Jen-Chih

“… Set-valued optimization problems are important and fascinating field of optimization theory and widely applied to image processing, viability theory, optimal control and mathematical economics …”
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A Parallel Splitting Augmented Lagrangian Method for Two-Block Separable Convex Programming with Application in Image Processing von Liu, Jing, Wang, Tonghui, Duan, Yongrui

“… The augmented Lagrangian method (ALM) is one of the most successful first-order methods for convex programming with linear equality constraints …”
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Fuzzy adaptive teaching–learning-based optimization for global numerical optimization von Cheng, Min-Yuan, Prayogo, Doddy

“… Teaching–learning-based optimization (TLBO) is one of the latest metaheuristic algorithms being used to solve global optimization problems over continuous search space …”
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Image Superresolution Using Support Vector Regression von Ni, K.S., Nguyen, T.Q.

“… Prior to the study, the SVR problem is enhanced by finding the optimal kernel. This is done by formulating the kernel learning problem in SVR form as a convex optimization problem, specifically a semi-definite programming (SDP) problem …”
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A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration von Chan, Tony F., Golub, Gene H., Mulet, Pep

“… We present a new method for solving total variation (TV) minimization problems in image restoration …”
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Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches von Ong, Pauline, Chin, Desmond Daniel Vui Sheng, Ho, Choon Sin, Ng, Chuan Huat

“… Obtaining the optimal extrusion process parameters by integration of optimization techniques was crucial and continuous engineering task in which it attempted to minimize the tool load …”
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Computation efficiency optimization in UAV-enabled mobile edge computing system with multi-carrier non-orthogonal multiple access von Xu, Fangcheng, Yu, Xiangbin, Cai, Jiali, Wang, Guangying

“… The formulated problem belongs to the non-convex mixed integer nonlinear programming (MINLP), that is NP-hard to find the global optimal solution …”
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Ensemble clustering using semidefinite programming with applications von Singh, Vikas, Mukherjee, Lopamudra, Peng, Jiming, Xu, Jinhui

“… Our optimization proceeds by first constructing a non-linear objective function which is then transformed into a 0-1 Semidefinite program (SDP …”
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Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing von Raja, Muhammad Asif Zahoor, Mehmood, Jabran, Sabir, Zulqurnain, Nasab, A. Kazemi, Manzar, Muhammad Anwaar

“… In this paper, a bio-inspired computational intelligence technique is presented for solving nonlinear doubly singular system using artificial neural networks (ANNs …”
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A chance-constrained portfolio selection model with random-rough variables von Tavana, Madjid, Khanjani Shiraz, Rashed, Di Caprio, Debora

“… More precisely, we formulate a Ra-Ro mathematical programming model where the returns are represented by Ra-Ro variables and the expected future total return maximized against a given fractile probability level …”
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A new global optimization method for a symmetric Lipschitz continuous function and the application to searching for a globally optimal partition of a one-dimensional set von Scitovski, Rudolf

“… In this paper, we consider a global optimization problem for a symmetric Lipschitz continuous function g : [ a , b ] k → R , whose domain [ a , b ] k ⊂ R k consists of k …”
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MIMO Radar 3D Imaging Based on Combined Amplitude and Total Variation Cost Function With Sequential Order One Negative Exponential Form von Ma, Changzheng, Yeo, Tat Soon, Zhao, Yongbo, Feng, Junjie

“… In inverse synthetic aperture radar (ISAR) imaging, a target is usually regarded as consist of a few strong (specular) scatterers and the distribution of these …”
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