with the goal of inferring a design configuration that satisfies an engineering requirement, and parameter estimation problems, in which an unknown parameter or set of parameters is inferred from measurement data. Both problem types are mathematically ill-posed...
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A subspace adaptation of the Coleman--Li trust region and interior method is proposed for solving large-scale bound-constrained minimization problems. This method can be implemented with either sparse Cholesky factorization or conjugate gradient computation. Under reasonable conditions the convergence ...
Math. Program. 108(2), 617–634 (2006). doi:10.1007/s10107-006-0725-5 47. M Bocus, J Coon, C Canagarajah, J McGeehan, S Armour, A Doufexi, Resource allocation for OFDMA-based cognitive radio networks with application to h.264 scalable video transmission. EURASIP J. Wirel. Commun...
Clearly such an ability would let us solve NP-complete problems efficiently.17 To me, however, the most interesting aspect of Bacon's paper is that he shows how standard quantum error-correction methods could be applied to a quantum computer with CTC's, in order to make his algorithm for ...
Given a set P of n colored points in a plane, with each color chosen from a set C of m≤ndocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-...
Flaxman S, Chirico M, Pereira P, Loeffler C et al (2019) Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the nij & #x201C;real-time crime forecasting challange. Ann Appl Stat 13(4):2564–2585 MathSciNet MATH Google Scholar ...
water Article Powerful Software to Simulate Soil Consolidation Problems with Prefabricated Vertical Drains Gonzalo García-Ros 1,*, Iván Alhama 1 and Manuel Cánovas 2 ID 1 Civil Engineering Department, Technical University of Cartagena, Paseo Alfonso XIII 52, 30203 Cartagena, Spain; ivan.alhama@up...
This model is formulated as a three-stage non-linear mixed-integer problem, with stochastic parameters representing the demand and non-cruise time. For smaller-scale problems, optimization software can effectively solve the model. However, as the number of flights increases, conventional software ...
Direct methods with maximal lower bound for mixed-integer optimal control problems. Math. Programm. 2009, 118, 109–149. [CrossRef] 28. Khan, M.A.I.; Noakes, C.J.; Toropov, V.V. Multi-objective optimization of the ventilation system design in a two-bed ward with an emphasis on ...