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  • Articles  (31)
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  • Articles  (31)
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  • Springer  (31)
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  • 1980-1984  (31)
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  • 1
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    Mathematical programming 23 (1982), S. 181-192 
    ISSN: 1436-4646
    Keywords: Linear Complementarity Problem ; Stability ; Classes of Matrices
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract It has been shown previously that the Linear Complementarity Problem is stable when the defining matrix is positive semidefinite and when (locally) the set of solutions is nonempty and bounded. We enlarge the class of matrices for which this is true and also demonstrate how the boundedness condition leads to other stability type questions.
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  • 2
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    Applied mathematics & optimization 7 (1981), S. 1-9 
    ISSN: 1432-0606
    Keywords: Nonlinear programming ; nonconvex programming ; concave minimization ; convergence
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A modification of Tuy's cone splitting algorithm for minimizing a concave function subject to linear inequality constraints is shown to be convergent by demonstrating that the limit of a sequence of constructed convex polytopes contains the feasible region. No geometric tolerance parameters are required.
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  • 3
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    Journal of mathematical biology 16 (1982), S. 49-55 
    ISSN: 1432-1416
    Keywords: Stability ; Diffusion ; Parabolic equations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract Models for a single species that inhabits an environment that is spatially varying are presented. Simple necessary and sufficient conditions for stability, which are independent of the exact details of the dispersal process, are developed in the case of large diffusion rates. The results highlight the important stabilizing nature of diffusion in a spatially varying environment.
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  • 4
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    Journal of mathematical biology 9 (1980), S. 65-83 
    ISSN: 1432-1416
    Keywords: Nonnegative equilibria ; Stability ; Decompositions ; Sub-communities ; Structural perturbations ; Connective stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary The major objective of this paper is to propose a new decomposition-aggregation framework for stability analysis of Lotka-Volterra equations employing the concept of vector Liapunov functions. Both the disjoint and the overlapping decompositions are introduced to increase flexibility in constructing Liapunov functions for the overall system. Our second objective is to consider the Lotka-Volterra equations under structural perturbations, and derive conditions under which a positive equilibrium is connectively stable. Both objectives of this paper are directed towards a better understanding of the intricate interplay between stability and complexity in the context of robustness of model ecosystems represented by Lotka-Volterra equations. Only stability of equilibria in models with constant parameters is considered here. Nonequilibrium analysis of models with nonlinear time-varying parameters is the subject of a companion paper.
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  • 5
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    Journal of mathematical biology 11 (1981), S. 65-84 
    ISSN: 1432-1416
    Keywords: Population dynamics ; Age-dependent models ; Equilibrium solutions ; Stability ; Evolution equations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary A mathematical model describing the dynamics of a population consisting of several species is studied. The interactions in the population are assumed to be age-specific. Using an evolution equation approach, sufficient conditions for well-posedness in L 1 of the dynamics and for existence as well as for stability of equilibrium solutions are given.
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  • 6
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    Journal of mathematical biology 11 (1981), S. 95-103 
    ISSN: 1432-1416
    Keywords: Epidemiology ; SIRS ; Deterministic models ; Distributed delays ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract A detailed analysis of a general class of SIRS epidemic models is given. Sufficient conditions are derived which guarantee the global stability of the endemic equilibrium solution. Further conditions are found which ensure instability for the equilibrium. Finally, the dependence of the stability on the contact number and the ratio of the mean length of infection to the mean removed time is considered.
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  • 7
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    Journal of mathematical biology 14 (1982), S. 71-75 
    ISSN: 1432-1416
    Keywords: Epidemiology ; Two host models ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract An epidemic model is derived for a two host infectious disease. It is shown that if a non-trivial equilibrium solution exists, it is globally stable. This result is also proved for a similar one host model.
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  • 8
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    Journal of mathematical biology 16 (1982), S. 33-48 
    ISSN: 1432-1416
    Keywords: Sterile insect release ; Predation ; Stability ; Limit cycles ; Optimal control
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract A model for the sterile insect release method of pest control in which the target species is under predatory or parasitic regulation is analyzed. The equations are nondimensionalized and the rescaled parameters are interpreted. There are four types of equilibria, whose existence and stability depend on which of ten regions of parameter space contain the rescaled parameters, and in turn give minimal release rates to achieve eradication of the pest. In at least one region, Hopf bifurcation theory shows the existence of limit cycles, but they are found to be unstable. In addition, the optimal release rate to minimize a total cost functional for pest control by the sterile release method is studied. Both approaches show that when predation accounts for a large fraction of the natural deaths, the necessary release rate and total cost are higher than for weak predation. If the predators are removed without being replaced by any other source of mortality, the cost rises in all cases but rises much more dramatically for cases with strong predation. A definite danger of the sterile release method when some predatory control exists is that the predators are frequently driven extinct before the prey, so that the target species could explode to much higher levels and be more difficult to eradicate again after the sterile release is terminated.
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  • 9
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    Journal of mathematical biology 11 (1981), S. 1-14 
    ISSN: 1432-1416
    Keywords: Ecological modelling ; Predator-prey systems ; Ordinary non-linear differential equations ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract We examine the qualitative effects of constant-rate stocking of either or both species in a predator-prey system. The hypotheses are made as mild as possible so that several types of systems with different qualitative alternatives may be studied.
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  • 10
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    Journal of mathematical biology 12 (1982), S. 101-114 
    ISSN: 1432-1416
    Keywords: Predator-prey systems ; Harvesting ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract The global behaviour of a class of predator-prey systems, modelled by a pair of non-linear ordinary differential equations, under constant rate harvesting and/or stocking of both species, is presented. Theoretically possible structures and transitions are developed and validated by computer simulations. The results are presented as transition loci in the F-G (prey harvest rate-predator harvest rate) plane.
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  • 11
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    Journal of mathematical biology 14 (1982), S. 231-250 
    ISSN: 1432-1416
    Keywords: Predator-prey ; Age structure ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract A general predator-prey model is considered in which the predator population is assumed to have an age structure which significantly affects its fecundity. The model equations are derived from the general McKendrick equations for age structured populations. The existence, stability and destabilization of equilibria are studied as they depend on the prey's natural carrying capacity and the maturation periodm of the predator. The main result of the paper is that for a broad class of maturation functions positive equilibria are either unstable for smallm or are destabilized asm decreases to zero. This is in contrast to the usual rule of thumb that increasing (not decreasing) delays in growth rate responses cause instabilities.
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  • 12
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    Journal of mathematical biology 15 (1982), S. 37-50 
    ISSN: 1432-1416
    Keywords: Reaction-diffusion system ; Stationary solution ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract We consider a spatial population growth process which is described by a reaction-diffusion equation c(x)u t = (a 2(x)u x ) x +f(u), c(x) 〉0, a(x) 〉 0, defined on an interval [0, 1] of the spatial variable x. First we study the stability of nonconstant stationary solutions of this equation under Neumann boundary conditions. It is shown that any nonconstant stationary solution (if it exists) is unstable if a xx⩽0 for all xε[0, 1], and conversely ifa xx〉0 for some xε[0, 1], there exists a stable nonconstant stationary solution. Next we study the stability of stationary solutions under Dirichlet boundary conditions. We consider two types of stationary solutions, i.e., a solution u 0(x) which satisfies u 0 x≠0 for all xε[0, 1] (type I) and a solution u 0(x) which satisfies u 0x = 0 at two or more points in [0, 1] (type II). It is shown that any stationary solution of type I [type II] is stable [unstable] if a xx ⩾0 [a xx ⩽0] for all xε[0, 1]. Conversely, there exists an unstable [a stable] stationary solution of type I [type II] if a xx 〈0 [a xx 〉0] for some xε[0, 1].
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  • 13
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    Journal of mathematical biology 15 (1982), S. 239-247 
    ISSN: 1432-1416
    Keywords: Predator-prey model ; Behavioral adaptation ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract The Volterra-Lotka predator-prey equations are modified so that the predator's ability to utilize the prey varies in proportion to the average number of encounters between the two species in the past. The behavior of this adaptive system is then described in terms of three parameters — the carrying capacity of the prey, the relative death rate of the predator, and the predator's memoryspan. The most stable situation is shown to occur when the carrying capacity of the prey is large, the predator's death rate is close to zero, and the predator is able to adapt quickly to changing levels of prey density.
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  • 14
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    Journal of mathematical biology 10 (1980), S. 33-51 
    ISSN: 1432-1416
    Keywords: Plankton ; Stability ; Perturbations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract Linear perturbation theory is used to examine the stability of steady-state distributions of marine phytoplankton in the presence of a mean current with shear. Solutions are obtained for the general initial-value problem and it is found that all distributions are asymptotically stable so long as the rate of shear is greater than the local production. On the other hand, the early time behavior indicates that the system can be altered, if accomplished soon enough, depending upon a relative combination of diffusion, advection and production. Quantitative assessments are made where data are available.
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  • 15
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    Journal of mathematical biology 10 (1980), S. 65-77 
    ISSN: 1432-1416
    Keywords: Predator-prey ; Persistence ; Stability ; Differential inequalities
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary The time derivatives of prey and predator populations are assumed to satisfy a set of inequalities, instead of a precise differential equation, reflecting an uncertain environmental and/or lack of knowledge by the modeler. A system of differential equations is found whose solution gives the boundary of a persistent set, which is positive flow invariant for any system satisfying the inequalities. Conditions are given for the persistent set to be bounded away from both axes, which show that resonance effects cannot drive either predator or prey to extinction if that does not happen for an autonomous system satisfying the inequalities. In general predator-prey systems are more persistent when there is strong asymptotic stability, when there is correlation between prey and predator dynamics, when the effect of perturbations is density dependent, and are more persistent under perturbations of the prey than of the predator.
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  • 16
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    Journal of mathematical biology 10 (1980), S. 97-100 
    ISSN: 1432-1416
    Keywords: Reaction diffusion equations ; Wave-trains ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary Stability of a class of solutions to reaction-diffusion equations is studied numerically. It is found that the solutions do not persist under a variety of boundary conditions.
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  • 17
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    Journal of mathematical biology 13 (1981), S. 185-198 
    ISSN: 1432-1416
    Keywords: Epidemiology ; Deterministic models ; Distributed delays ; Thresholds ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary A cyclic, constant parameter epidemiological model is described for a closed population divided into susceptible, exposed and infectious classes. Distributed delays are introduced and the model is formulated as two coupled Volterra integral equations. The delays do not change the general nature of thresholds or asymptotic stability; in all cases considered the disease either dies out, or approaches an endemic steady state.
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  • 18
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    Journal of mathematical biology 16 (1982), S. 25-31 
    ISSN: 1432-1416
    Keywords: Stability ; Community matrix ; Lotka-Volterra models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract The explicit function of the community matrix of a three dimensional Lotka-Volterra model is delineated by a set of necessary and sufficient conditions for a positive equilibrium to be asymptotically stable. In the special case that the community matrix is quasi weakly diagonally dominant, it is shown that a positive determinant for the community matrix is not only necessary but is also sufficient for stability. The results are specific to three dimensional models and do not extend to communities of dimension greater than three.
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  • 19
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    Journal of mathematical biology 9 (1980), S. 37-47 
    ISSN: 1432-1416
    Keywords: Epidemiology ; Endemic infectious diseases ; Deterministic models ; Thresholds ; Distributed delays ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Summary Endemic infectious diseases for which infection confers permanent immunity are described by a system of nonlinear Volterra integral equations of convolution type. These constant-parameter models include vital dynamics (births and deaths), immunization and distributed infectious period. The models are shown to be well posed, the threshold criteria are determined and the asymptotic behavior is analysed. It is concluded that distributed delays do not change the thresholds and the asymptotic behaviors of the models.
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  • 20
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    Journal of mathematical biology 10 (1980), S. 401-415 
    ISSN: 1432-1416
    Keywords: Stability ; Volterra ecosystems ; Linear complementarity theory
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract In this paper, global asymptotic stability of ecosystems of the generalized Volterra type $$dx_i /dt = x_i \left( {b_{i - } \mathop \sum \limits_{j = 1}^n a_{ij} x_j } \right),{\text{ }}i = 1,...,n,$$ is investigated. We obtain the conditions for the existence of a nonnegative and stable equilibrium point of the system by applying a result of linear complementarity theory. The results of this paper show that there exists a class of systems that do not have multiple domains of attractions. This class is defined in terms of the species interactions alone, and does not involve carrying capacities or species net birth rates.
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  • 21
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    Journal of mathematical biology 11 (1981), S. 207-233 
    ISSN: 1432-1416
    Keywords: Clines ; Population genetics ; Nonlinear diffusion problems ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract If a population, which consists of individuals having genetic variation at one locus, with two alleles A and a, evolves under the influence of migration and selection, gradients in the distribution of alleles may arise. We consider the effect of asymmetry in the migration and spatial dependence of the selection process, upon the emergence and stability of such gradients.
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  • 22
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    Journal of mathematical biology 16 (1982), S. 103-112 
    ISSN: 1432-1416
    Keywords: Bifurcation ; Competition ; Diffusive Lotka-Volterra system ; Predator-prey interaction ; Stability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Mathematics
    Notes: Abstract Three examples of the diffusive 3-species Lotka-Volterra system with constant interaction parameters are given, and by bifurcation techniques shown to have stable spatially non-constant equilibrium solutions. One example is competitive; the second one predator-two-competing prey and the third involves two predators and a single prey.
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  • 23
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    Journal of optimization theory and applications 30 (1980), S. 211-227 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; decomposition algorithm ; convexity ; convergence ; SUMT algorithm
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Kronsjö's nonlinear generalization (Ref. 1) of Benders' algorithm (Ref. 2) is reviewed. At each iteration, this algorithm produces upper and lower bounds to the true optimum, and the sequence of lower bounds is increasing. The algorithm is modified, so that the sequence of upper bounds is ε-decreasing as well. The two versions are tested numerically using an ALGOL program originally written by Wong (Ref. 3), incorporating the SUMT method (Fiacco and McCormick, Refs. 4 and 5). The two versions are compared against each other, and the problem of the optimal degree of decomposition is considered. Finally, an attempt is made to express the computer time required to solve the test problems as a function of master problem size, number of subproblems, and average subproblem size.
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  • 24
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    Journal of optimization theory and applications 31 (1980), S. 143-165 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; local extrema second-order conditions ; constraint qualification ; extremality conditions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper is concerned with the problem of characterizing a local minimum of a mathematical programming problem with equality and inequality constraints. The main object is to derive second-order conditions, involving the Hessians of the functions, or related results where some other curvature information is used. The necessary conditions are of the Fritz John type and do not require a constraint qualification. Both the necessary conditions and the sufficient conditions are given in equivalent pairs of primal and dual formulations.
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  • 25
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    Journal of optimization theory and applications 31 (1980), S. 343-359 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; quadratic inequality constraints ; team problems ; signaling strategies ; nonclassical information
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Let Λ and Σ be positive-definite matrices of dimensionsn×n andm×n. Then, this paper considers the problem of minimizing Tr[Λ(I+C′C)−1] over allm×n real matrices and under the constraint Tr[ΣCC′]≥1. The solution is obtained rigorously and withouta priori employing the Lagrange multipliers technique. An application of this result to a decentralized team problem which involves joint estimation and control and with signaling strategies is also discussed.
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  • 26
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    Journal of optimization theory and applications 32 (1980), S. 1-16 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; global convergence ; numerical experience
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    Topics: Mathematics
    Notes: Abstract Global convergence properties are established for a quite general form of algorithms for solving nonlinearly constrained minimization problems. A useful feature of the methods considered is that they can be implemented easily either with or without using quadratic programming techniques. A particular implementation, designed to be both efficient and robust, is described in detail. Numerical results are presented and discussed.
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  • 27
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    Journal of optimization theory and applications 35 (1981), S. 417-441 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; perturbation theory ; multipliers ; abnormality ; abstract optimization problems
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    Topics: Mathematics
    Notes: Abstract A general perturbation theory is given for optimization problems in locally convex, linear spaces. Neither differentiability of the constraints nor regularity of the solutions of the unperturbed problem are assumed. Without reference to a particular multiplier rule, multipliers of the unperturbed problem are defined and used for characterizing solutions of a perturbed problem. In case of differentiable constraints or finite-dimensional spaces, the results exceed those known so far.
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  • 28
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    Journal of optimization theory and applications 34 (1981), S. 41-82 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; nondifferentiable optimization ; algorithms ; min-max problems ; duality
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    Topics: Mathematics
    Notes: Abstract A nonlinear programming problem with nondifferentiabilities is considered. The nondifferentiabilities are due to terms of the form min(f 1(x),...,f n(x)), which may enter nonlinearly in the cost and the constraints. Necessary and sufficient conditions are developed. Two algorithms for solving this problem are described, and their convergence is studied. A duality framework for interpretation of the algorithms is also developed.
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  • 29
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    Journal of optimization theory and applications 33 (1981), S. 463-477 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; secant method ; quasi-Newton method ; algorithm stabilization ; recursive quadratic programming
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    Topics: Mathematics
    Notes: Abstract This paper presents a secant method, based on R. B. Wilson's formula for the solution of optimization problems with inequality constraints. Global convergence properties are ensured by grafting the secant method onto a phase I - phase II feasible directions method, using a rate of convergence test for crossover control.
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  • 30
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    Journal of optimization theory and applications 36 (1982), S. 335-365 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; minimax problems ; duality ; investment optimization ; optimal sizing
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    Topics: Mathematics
    Notes: Abstract We consider problems of the form $$\mathop {\min }\limits_u J(u) + \sum\limits_{0 \leqslant i \leqslant n} {a_i } \mathop {\max }\limits_{0 \leqslant j \leqslant i} \Theta _j (u),$$ in which thea′ i s are nonnegative numbers, andJ and the Θ j 's are convex functionals on a reflexive Banach spaceU. We show that such problems may arise, in particular, when scheduling investments over several periods of time. By expressing the nested maximizations in a recursive way, we transform the above problem into that of finding the minimax of some functional Φ(u, α), where α ranges over the unit cube of ℝ n . Although the dependence of Φ on α is neither linear nor even concave, we show that a saddle point does exist for this problem. Moreover, we propose a very simple dual algorithm to solve maxα min u Φ(u, α), whose convergence is proved and whose limit yields the true optimum, although the dual functional is not concave and does have local maxima in general. Another algorithm with this same property, but without convergence proof, is also proposed. Finally, a numerical example illustrates the use of these approaches and algorithms.
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  • 31
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    Journal of optimization theory and applications 38 (1982), S. 461-482 
    ISSN: 1573-2878
    Keywords: Nonlinear programming ; unconstrained optimization ; modified Newton's method ; factorable functions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Many functions of several variables used in nonlinear programming are factorable, i.e., complicated compositions of transformed sums and products of functions of a single variable. The Hessian matrices of twice-differentiable factorable functions can easily be expressed as sums of outer products (dyads) of vectors. A modified Newton's method for minimizing unconstrained factorable functions which exploits this special form of the Hessian is developed. Computational experience with the method is presented.
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