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Nonlinearity optimization in nonlinear joint transform correlators
Applied Optics, 1997Three types of nonlinear transformations of the joint spectrum in nonlinear joint transform correlators (NLJTC's) are investigated with the purpose of achieving the highest discrimination capability in target location in a cluttered background: logarithmic transformation and the (1/k)th law transformation in combination with the limitation of the ...
L P, Yaroslavsky, E, Marom
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Proceedings of the 1964 19th ACM national conference on -, 1964
Over the past decade the use of the digital computer in the solution of scientific and engineering problems has expanded quite rapidly. The ultimate objective of many of these applications is optimization. In the chemical industry, for example, a typical problem might be to maximize the yield of a certain process be making adjustments to the ...
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Over the past decade the use of the digital computer in the solution of scientific and engineering problems has expanded quite rapidly. The ultimate objective of many of these applications is optimization. In the chemical industry, for example, a typical problem might be to maximize the yield of a certain process be making adjustments to the ...
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Large-Scale Nonlinear Optimization
2006Fast Linear Algebra for Multiarc Trajectory Optimization (Nicolas Berend, J. Frederic Bonnans, Julien Laurent-Varin, MounirHaddou, Christophe Talbot).- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization (Dimitri P. Bertsekas).- n O(n^2) Algorithm for Isotonic Regression (Oleg Burdakov, Oleg Sysoev, Anders Grimvall ...
DI PILLO, Gianni, ROMA, Massimo
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Nonlinear leastpth optimization and nonlinear programming
Mathematical Programming, 1977Over the past few years a number of researchers in mathematical programming became very interested in the method of the Augmented Lagrangian to solve the nonlinear programming problem. The main reason being that the Augmented Lagrangian approach overcomes the ill-conditioning problem and the slow convergence of the penalty methods.
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2005
Parallel computing research in the area of nonlinear optimization has been extremely intense during the last decade. One of the perspectives for this research is to parallelize the linear algebra operations that arise in numerical optimization, and thus to consider the impact that the most recent advances in parallel linear algebra can have in building
M. D'APUZZO +4 more
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Parallel computing research in the area of nonlinear optimization has been extremely intense during the last decade. One of the perspectives for this research is to parallelize the linear algebra operations that arise in numerical optimization, and thus to consider the impact that the most recent advances in parallel linear algebra can have in building
M. D'APUZZO +4 more
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The Reference Collection of Annual Meeting, 2003
Kohei YUGE, Susumu Ejima, Junichi ABE
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Kohei YUGE, Susumu Ejima, Junichi ABE
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
2001
The distinction between local and global techniques is only necessary in the context of nonlinear optimization, since linear problems always have a unique optimum; see Chap. 3. The nonlinear local optimization techniques discussed in the previous chapter start from an initial point in the parameter space and search in directions obtained by ...
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The distinction between local and global techniques is only necessary in the context of nonlinear optimization, since linear problems always have a unique optimum; see Chap. 3. The nonlinear local optimization techniques discussed in the previous chapter start from an initial point in the parameter space and search in directions obtained by ...
openaire +1 more source