Smart Power and Military Force: An Introduction

Abstract

Smart power is comprised of two elements: the quest for building society among states and between states and non-state actors; as well as the desire for cleaner forms of power projection. This special issue explores how states continue to fumble over achieving the optimum mix of hard and soft power across several country cases and themed articles. This set of contributions suggests that smart power is not unlike a ‘Swiss Army Knife’ analogy: multifunctional and challenging to choose the right combination of ideational and material tools.     

The insurgency of the Vendée

The insurrection in the Vendée combined open warfare with the methods of petite guerre, ambushing French republican soldiers and cutting their supply lines to Paris. These tactics, when combined with the hatreds generated by a civil war, go far to explain to the cruelty of the conflict in the west and the depth of the hatreds it engendered. In republican eyes the use of guerrilla tactics was unjust and illegitimate, and they denounced their adversaries as common criminals and brigands, portraying them as backward, superstitious, even as subhuman, and in the process justified the savage repression they unleashed against them.     

THE EFFECT OF 9/11 ON US EXPORTS AND IMPORTS OF TOURISM

Several studies have investigated whether the terrorist attacks of September 11, 2001, have had an ongoing or merely transitory effect on US trade in tourism. All conclude in favor of the latter. However, limitations in either the data and/or methodology employed by these studies give cause to query their findings. The present study avoids these limitations and finds strong evidence that, once other factors are held constant, real US exports and imports of tourism have both remained significantly below their pre‐2001 level.     

A novel method for determination of lethal radius for high-explosive artillery projectiles

A new model has been defined that enables the estimation of the lethal radius (radius of efficiency) of HE (High Explosive) artillery projectiles against human targets. The model is made of several modules: CAD (Computer Aided Design) modeling, fragment mass distribution estimation, fragment initial velocity prediction, fragment trajectory calculation, effective fragment density estimation, and high explosive projectile lethal radius estimation. The results were compared with the experimental results obtained based on tests in the arena used in our country, and the agreement of the results was good. This model can be used in any terminal-ballistics scenario for high explosive projectiles since it is general, para-metric, fast and relatively easy to implement.     

A generalized assignment model for dynamic supply chain capacity planning

We consider a generalization of the well‐known generalized assignment problem (GAP) over discrete time periods encompassed within a finite planning horizon. The resulting model, MultiGAP, addresses the assignment of tasks to agents within each time period, with the attendant single‐period assignment costs and agent‐capacity constraint requirements, in conjunction with transition costs arising between any two consecutive periods in which a task is reassigned to a different agent. As is the case for its single‐period antecedent, MultiGAP offers a robust tool for modeling a wide range of capacity planning problems occurring within supply chain management. We provide two formulations for MultiGAP and establish that the second (alternative) formulation provides a tighter bound. We define a Lagrangian relaxation‐based heuristic as well as a branch‐and‐bound algorithm for MultiGAP. Computational experience with the heuristic and branch‐and‐bound algorithm on over 2500 test problems is reported. The Lagrangian heuristic consistently generates high‐quality and in many cases near‐optimal solutions. The branch‐and‐bound algorithm is also seen to constitute an effective means for solving to optimality MultiGAP problems of reasonable size. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

A sequential Bayesian generalization of the Jelinski–Moranda software reliability model

The Jelinski–Moranda model of software reliability is generalized by introducing a negative‐binomial prior distribution for the number of faults remaining, together with a Gamma distribution for the rate at which each fault is exposed. This model is well suited to sequential use, where a sequence of reliability forecasts is made in the process of testing or using the software. We also investigate replacing the Gamma distribution with a worst‐case assumption about failure rates (the worst‐case failure rate in models such as this is not infinite, since faults with large failure rates are immediately discovered and removed). © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

Estimation for dirichlet mixed models

Dirichlet mixed models find wide application. Estimation is usually achieved through the method of moments. Here we present an iterative hybrid algorithm for obtaining the maximum likelihood estimate employing both modified Newton-Raphson and E-M methods. This successful MLE algorithm enables calculation of a jack-knife MLE. Simulation comparison of the three estimates is provided. The MLE substantially improves upon the moments estimator particularly with increasing dimension. The jack-knife MLE in turn offers dramatic improvement over the MLE.     

Landmarks in defense literature

Preliminary design of an experimental world-circling spaceship RM001 RAND Corporation, Santa Monica, Calif. (1946)     

Solving a (0, 1) hyperbolic program by branch and bound

A problem in (0, 1) hyperbolic programming is formulated and solved by the use of branch and bound methods. Computational results are presented including a comparison among several branching rules. Heuristic methods for quickly finding relatively good feasible solutions are presented and tested. The problem finds application in the scheduling of common carriers. In the solution of the main problem, a subproblem is identified and solved. A geometric analogue is presented, which allows an interesting interpretation of the subproblem. The subproblem itself finds application in the design of gambles.